Sukhes Mukherjee | Neuroscience | Outstanding Scientist Award

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Dr. Sukhes Mukherjee | Neuroscience | Outstanding Scientist Award

Additional Professor at All India Institute of Medical Sciences Bhopal, India.

Dr. Sukhes Mukherjee is an accomplished biochemist and educator, currently serving as Additional Professor in the Department of Biochemistry at the All India Institute of Medical Sciences (AIIMS), Bhopal, India. With over two decades of experience spanning academia, research, and clinical biochemistry, Dr. Mukherjee has established himself as a leading figure in the field of medical biochemistry and molecular diagnostics. He holds a Ph.D. in Clinical Biochemistry from Amrita Vishwa Vidyapeetham, preceded by an M.Sc. (Gold Medalist) in Medical Biochemistry from Sikkim Manipal University and a B.Sc. in Chemistry from the University of Calcutta. Dr. Mukherjee’s contributions encompass extensive research on biochemical markers, liver diseases, oxidative stress, and neurochemistry, with multiple awards acknowledging his excellence in both scientific inquiry and pedagogy. He has been invited to deliver over 40 national and international lectures and serves on editorial boards of reputed journals. His affiliations include the Royal Society of Biology (UK), American Association of Clinical Chemistry (AACC), and the Association of Clinical Biochemists of India. Through consistent academic leadership, research productivity, and global engagement, Dr. Mukherjee exemplifies dedication to biomedical science and its application in improving healthcare outcomes.

Publication Profile

Scopus

Orcid

Google Scholar

Education

Dr. Sukhes Mukherjee possesses a strong academic foundation rooted in chemistry and medical biochemistry. He began his higher education journey with a B.Sc. (Hons.) in Chemistry from the University of Calcutta in 2000, laying the groundwork for a career in biomedical sciences. His academic excellence became evident during his M.Sc. in Medical Biochemistry from Sikkim Manipal University, where he earned the Gold Medal as the Best Outgoing Student in 2004. This accomplishment signified not only academic merit but also his commitment to the discipline. Dr. Mukherjee pursued doctoral studies at Amrita Vishwa Vidyapeetham, earning his Ph.D. in Clinical Biochemistry in 2009. His doctoral work focused on key clinical aspects of biochemistry and toxicology, marking the beginning of his specialization in liver diseases and neurochemistry. This multidisciplinary training across chemistry, medical biochemistry, and clinical diagnostics has provided him with a well-rounded perspective, enabling impactful contributions in both teaching and translational research. His academic background continues to support his success in mentoring, scholarly publication, and grant-winning projects at the national and international levels.

Professional Experience

Dr. Sukhes Mukherjee has accumulated extensive professional experience in academic institutions across India. His current role as Additional Professor in the Department of Biochemistry at AIIMS Bhopal, a position he has held since July 2020, builds upon a decade-long academic trajectory marked by increasing leadership responsibilities. Prior to this, he served as Associate Professor at AIIMS Bhopal (2017–2020) and in several other institutions including GIMSH, Government Medical College Saharanpur, NRIIMS, and VCSGGIMS&R. His earliest faculty appointment as Assistant Professor at VCSGGIMS&R in 2010 laid the foundation for his continued focus on teaching and clinical research. Across these roles, Dr. Mukherjee has consistently demonstrated commitment to academic excellence, curriculum development, and laboratory quality assurance. His professional journey reflects versatility, having served in both government and private medical colleges. These positions have allowed him to lead departmental activities, mentor postgraduate students, and supervise diagnostic laboratories. His expertise in ISO-15189 standards and internal auditing further enhances his contributions to laboratory quality management systems. Dr. Mukherjee’s academic mobility and leadership across diverse healthcare institutions underline his adaptability and sustained excellence in biochemistry education and practice.

Research Interest

Dr. Sukhes Mukherjee’s research interests lie at the intersection of clinical biochemistry, neurochemistry, hepatology, and molecular toxicology. His primary focus areas include the biochemical and molecular underpinnings of liver diseases, particularly alcoholic and non-alcoholic liver disorders. He has led research initiatives examining ethanol’s impact on liver function, angiogenesis, and brain damage, utilizing both biochemical markers and enzymatic studies. His early interest in free radical biology has matured into comprehensive investigations on oxidative stress and its implications for neurotoxicity and hepatic injury. Additionally, Dr. Mukherjee has contributed to cancer biochemistry through his studies on Ehrlich’s ascites carcinoma. Another key theme in his research is the development and validation of diagnostic biomarkers for various chronic diseases. He has also examined risk factors for metabolic disorders and the interplay between nutrition, toxicology, and biochemical signaling. His approach integrates classical biochemical techniques with modern molecular and analytical tools, enabling translational insights applicable to both clinical and public health settings. Dr. Mukherjee’s research continues to bridge basic biochemical mechanisms with applied clinical science, addressing current gaps in diagnosis, disease monitoring, and therapeutic intervention.

Research Skills

Dr. Sukhes Mukherjee brings a diverse array of research skills that encompass clinical diagnostics, biochemical assay development, molecular biology, and quality control. He is proficient in executing and interpreting a wide range of laboratory techniques, including enzymatic assays, electrophoresis, spectrophotometry, and chromatographic analyses. His training in ISO 15189 standards as an internal auditor and quality manager equips him to maintain rigorous standards in clinical laboratories, ensuring data integrity and diagnostic accuracy. Dr. Mukherjee is adept in designing experimental protocols for studying oxidative stress, free radical damage, and hepatotoxicity. His collaborative projects with organizations like CSIR and Daiichi Pure Chemicals demonstrate his capability in handling complex, multidisciplinary research themes. His experience spans both in vivo and in vitro models, allowing him to dissect the biochemical pathways involved in neurotoxicity and liver disease. Furthermore, his familiarity with statistical tools, scientific writing, and peer review enhances his ability to contribute to high-quality publications and research proposals. Whether as a principal investigator or co-investigator, Dr. Mukherjee’s methodical and quality-driven research approach has earned him recognition in academic, industrial, and regulatory research environments.

Awards and Honors

Dr. Sukhes Mukherjee has been the recipient of numerous national and international awards that recognize his academic distinction, research contributions, and leadership in medical biochemistry. Early in his career, he was honored with the Best Outgoing Student Gold Medal from Sikkim Manipal University (2004), followed by multiple awards from the Association of Clinical Biochemists of India, including the P.S. Murthy Award (2008), Sita Devi Award (2009), and the Pitabus Jamuna Memorial Award (2012). His research in neurochemistry earned him the prestigious Young Investigator Award from the International Society for Neurochemistry (2009), and international recognition continued with travel fellowships from AACC, USA, and a fellowship in South Korea. Dr. Mukherjee is a Fellow of the National Academy of Medical Sciences (MNAMS), the Linnean Society (FLS), and the Royal Society of Biology (CSi), among others. His inclusion in Marquis Who’s Who and awards from MAIER and NMMTA further reflect his scientific impact and professional visibility. These honors underscore a career marked by excellence in research, education, and service to the biomedical community.

Author Metrics

Dr. Sukhes Mukherjee’s scholarly contributions to the fields of medical biochemistry and clinical sciences are reflected in his impressive author metrics. As of the latest data, he has accumulated a total of 1,581 citations, demonstrating the significant influence and widespread recognition of his research in national and international scientific communities. With an h-index of 20, Dr. Mukherjee has at least 20 publications that have each been cited a minimum of 20 times, indicating both productivity and the sustained academic relevance of his work. His i10-index of 35 further illustrates that 35 of his research articles have received 10 or more citations, highlighting the consistent quality and impact of his contributions over time. These metrics reflect his expertise across a broad spectrum of biomedical research areas, including clinical biochemistry, neurochemistry, toxicology, free radical biology, and liver disease biomarkers. His work continues to be cited in leading peer-reviewed journals and used as a reference in both academic and clinical settings. These quantitative indicators affirm Dr. Mukherjee’s position as a respected researcher and thought leader in his field, underlining the continued academic and translational value of his scientific endeavors.

Publications Top Notes

1. Alcoholism and its effects on the central nervous system

  • Authors: S. Mukherjee

  • Journal: Current Neurovascular Research

  • Year: 2013

  • Citations: 146

2. Consequences of alcohol consumption on neurotransmitters – an overview

  • Authors: S. Mukherjee, S.K. Das, K. Vaidyanathan, D.M. Vasudevan

  • Journal: Current Neurovascular Research

  • Year: 2008

  • Citations: 87

3. Evaluation of blood oxidative stress‐related parameters in alcoholic liver disease and non‐alcoholic fatty liver disease

  • Authors: S.K. Das, V. Balakrishnan, S. Mukherjee, D.M. Vasudevan

  • Journal: Scandinavian Journal of Clinical and Laboratory Investigation

  • Year: 2008

  • Citations: 82

4. Oxidative stress is the primary event: effects of ethanol consumption in brain

  • Authors: S.K. Das, K.R. Hiran, S. Mukherjee, D.M. Vasudevan

  • Journal: Indian Journal of Clinical Biochemistry

  • Year: 2007

  • Citations: 80

5. Evolving interplay between dietary polyphenols and gut microbiota—an emerging importance in healthcare

  • Authors: S.K. Ray, S. Mukherjee

  • Journal: Frontiers in Nutrition

  • Year: 2021

  • Citations: 79

  • DOI: 10.3389/fnut.2021.634944

6. Medicinal properties of milk thistle with special reference to silymarin – an overview

  • Authors: S.K. Das, S. Mukherjee, D.M. Vasudevan

  • Publisher: CSIR

  • Year: 2008

  • Citations: 79

  • (This might be a review report or a book chapter – not always indexed in peer-reviewed journals.)

7. Comparison of haematological parameters in patients with non-alcoholic fatty liver disease and alcoholic liver disease

  • Authors: S.K. Das, S. Mukherjee, D.M. Vasudevan, V. Balakrishnan

  • Journal: Singapore Medical Journal

  • Year: 2011

  • Citations: 74

8. Biochemical and immunological basis of silymarin effect, a milk thistle (Silybum marianum) against ethanol-induced oxidative damage

  • Authors: S.K. Das, S. Mukherjee

  • Journal: Toxicology Mechanisms and Methods

  • Year: 2012

  • Citations: 67

9. Prediction of crushing behaviour of honeycomb structures

  • Authors: A. Chawla, S. Mukherjee, D. Kumar, T. Nakatani, M. Ueno

  • Journal: International Journal of Crashworthiness

  • Year: 2003

  • Citations: 56

10. Protective effect of resveratrol and vitamin E against ethanol-induced oxidative damage in mice: biochemical and immunological basis

  • Authors: S.K. Das, S. Mukherjee, G. Gupta, D.N. Rao, D.M. Vasudevan

  • Publisher: CSIR

  • Year: 2010

  • Citations: 53

  • (Possibly a CSIR report or chapter in a collected work.)

Conclusion

Dr. Sukhes Mukherjee exemplifies a dynamic and dedicated medical biochemist with extensive experience in teaching, research, and clinical diagnostics. Over the years, he has significantly contributed to the understanding of liver disease, neurotoxicity, and oxidative stress through interdisciplinary research backed by strong biochemical methodology. His professional appointments across renowned institutions and his progression to the role of Additional Professor at AIIMS Bhopal demonstrate his commitment to academic leadership and institutional development. With over 40 invited lectures, numerous editorial and peer-review roles, and active involvement in national and international societies, Dr. Mukherjee maintains a prominent presence in the global scientific community. His accolades and fellowships reflect both early promise and sustained excellence in medical biochemistry. A skilled educator, auditor, and mentor, Dr. Mukherjee continues to advance translational research and quality laboratory practices, fostering innovations that directly impact patient care and biomedical education. His career is a testament to perseverance, interdisciplinary thinking, and lifelong learning in the service of science and society.

Tongtong Che | Brain Image Analysis | Best Researcher Award

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Dr. Tongtong Che | Brain Image Analysis | Best Researcher Award

Dr. Tongtong Che | Brain Image Analysis – Postdoctor at Beijing Normal University, China.

Dr. Tongtong Che is a postdoctoral researcher specializing in medical image analysis, with a robust background in deep learning and medical imaging registration techniques. Born on June 24, 1995, she currently works at the State Key Laboratory of Cognitive Neuroscience and Learning at Beijing Normal University. With extensive training in biological science, medical engineering, and information science, Dr. Che has developed innovative algorithms for brain image registration, an area crucial for neuroimaging studies and disease diagnostics. She has published extensively in top-tier journals such as Medical Image Analysis and IEEE Transactions on Image Processing, with her work widely recognized for its technical sophistication and clinical relevance. In addition to academic accomplishments, she gained industry experience through a research internship at Shanghai United Imaging Intelligence. Dr. Che is also the recipient of the 2024 Best Researcher Award at the International Conference on Neurology and Neuro Disorders, highlighting her growing international impact. Her research continues to bridge the gap between advanced computational methodologies and clinical applications in neuroscience and medical imaging. Dr. Che’s ultimate aim is to contribute to the development of intelligent systems that enhance healthcare diagnostics and treatment planning.

Publication Profile

Scopus

Educational Details

Dr. Tongtong Che holds a Doctor of Engineering degree in Biological Science and Medical Engineering from Beihang University, awarded in June 2024. During her doctoral studies, she focused on medical image processing, particularly brain image registration techniques using deep learning frameworks. Prior to this, she earned a Master of Science degree from the School of Information Science and Engineering at Shandong Normal University in 2020. Her master’s work involved image processing and algorithmic optimization, laying the foundation for her later work in medical imaging. Dr. Che began her academic journey at Shandong Women’s University, where she obtained a Bachelor of Science in Information Science and Technology in 2017. Across all her academic stages, she consistently demonstrated excellence in computational modeling, medical data analysis, and interdisciplinary collaboration. Her educational path reflects a progressive deepening of expertise, from general information technology to highly specialized medical image analysis, aligning her with the forefront of intelligent healthcare research. This solid educational background empowers her to address complex challenges in brain mapping and deformable image registration, particularly for pediatric and neurological conditions.

Professional Experience

Dr. Tongtong Che currently serves as a postdoctoral researcher at the State Key Laboratory of Cognitive Neuroscience and Learning at Beijing Normal University, a role she has held since September 2020. In this capacity, she leads research on brain image registration—a foundational process for constructing accurate brain templates and understanding developmental brain changes. Her work involves developing deep learning algorithms for multi-spectral and 3D image registration. Prior to this, Dr. Che completed a research internship at Shanghai United Imaging Intelligence in 2019, where she optimized brain image registration algorithms in a high-tech industrial setting. These experiences have endowed her with both academic depth and practical proficiency in translating computational models to real-world applications. She has collaborated with leading experts in the field and co-authored multiple high-impact journal articles. Her professional portfolio demonstrates a rare balance between theoretical innovation and applied research, supported by strong interdisciplinary collaboration. Through her combined academic and industry experience, Dr. Che has emerged as a key contributor to advancing image analysis technologies that support clinical neuroscience and brain development research.

Research Interest

Dr. Tongtong Che’s research interests are centered on medical image processing and analysis, with particular expertise in brain image registration and deep learning-based methods for biomedical applications. She is passionate about developing computational tools that enable more accurate and efficient analysis of medical images, which are critical in diagnostic and prognostic procedures. Her primary research explores group-wise and deformable registration techniques using hierarchical and graph-based models. She also works on template construction and multilevel modeling for pediatric brain imaging, especially under complex deformations associated with growth and neurodevelopment. Dr. Che’s secondary interests include radiomics, image segmentation, and multimodal image fusion. Her interdisciplinary approach leverages artificial intelligence and neuroinformatics to uncover structural and functional patterns in medical images. Dr. Che aims to integrate machine learning with biomedical imaging to support precision medicine, early disease detection, and patient-specific treatment planning. With the increasing availability of medical data and advances in AI, she is committed to pushing the boundaries of image-guided healthcare technologies.

Research Skills

Dr. Tongtong Che possesses a broad and advanced set of research skills at the intersection of computer science and biomedical engineering. Her core technical expertise includes medical image registration, deep neural networks, generative adversarial networks (GANs), and optical flow estimation. She is proficient in implementing and optimizing complex image processing pipelines, particularly for multi-spectral and 3D brain MRI datasets. Dr. Che has extensive programming experience in Python and MATLAB, with a strong command of deep learning frameworks such as TensorFlow and PyTorch. She is skilled in statistical modeling, data visualization, and algorithm evaluation for reproducibility and robustness. Her methodological innovations include the development of AMNet and DGR-Net, two state-of-the-art architectures for deformable registration. In addition, she has successfully applied her skills in collaborative environments, including academic labs and industrial R&D settings. Dr. Che is also adept at preparing manuscripts for peer-reviewed journals and conference presentations, demonstrating a high level of scientific communication. Her research toolkit positions her well for future developments in image-based diagnostics and personalized medicine.

Awards and Honors

Dr. Tongtong Che has been recognized for her exceptional research contributions with the Best Researcher Award at the 5th Edition of the International Conference on Neurology and Neuro Disorders in 2024. This award acknowledges her innovative work in brain image registration and its implications for neurodevelopmental and neurological studies. In the same year, she secured funding from the China Postdoctoral Science Foundation under the prestigious Postdoctoral Innovation Talent Support Program (BX20240039). Her funded project focuses on constructing dynamic developmental brain maps for children aged 0 to 18 years with complex anatomical deformations. The grant, worth 640,000 yuan, supports her research from June 2024 to June 2026 and reflects national-level recognition of her scientific potential and leadership. These honors highlight Dr. Che’s impact and visibility in the medical imaging and neuroscience communities. She continues to advance her work at the cutting edge of biomedical engineering with an aim to improve both the scientific understanding of brain development and the clinical tools available for pediatric diagnosis.

Author Metrics

  • Total Publications: 11

  • Total Citations: 136

  • h-index: 8

  • g-index: 10

  • i10-index: 5

Top Noted Publication

  • Nested Hierarchical Group-wise Registration with a Graph-based Subgrouping Strategy for Efficient Template Construction

    • Year: 2025

    • Citation Count: N/A

  • AMNet: Adaptive Multi-level Network for Deformable Registration of 3D Brain MR Images

    • Year: 2023

    • Citation Count: N/A

  • SDOF-GAN: Symmetric Dense Optical Flow Estimation with Generative Adversarial Networks

    • Year: 2021

    • Citation Count: N/A

  • DGR-Net: Deep Group-wise Registration for Multi-spectral Images

    • Year: 2019

    • Citation Count: N/A

  • Deep Group-wise Registration for Multi-spectral Images from Fundus Images

    • Year: 2019

    • Citation Count: N/A

  • A Framework for Brain Template Generation by Hierarchical Group-wise Image Registration

    • Year: 2023

    • Citation Count: N/A

  • SymReg-GAN: Symmetric Image Registration with Generative Adversarial Networks

    • Year: 2021

    • Citation Count: N/A

  • Image Matting with Deep Gaussian Process

    • Year: 2022

    • Citation Count: N/A

  • Regional Radiomics Similarity Networks (R2SNs) in the Human Brain: Reproducibility, Small-world Properties and a Biological Basis

    • Year: 2021

    • Citation Count: N/A

  • Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment

    • Year: 2022

    • Citation Count: 14

Conclusion

Dr. Tongtong Che is a rising researcher in the field of medical image analysis, with a strong foundation in deep learning and biomedical engineering. Her academic path from undergraduate to postdoctoral research has been marked by consistent excellence, culminating in numerous high-impact publications and prestigious research grants. She bridges the gap between algorithm development and clinical application, contributing significantly to the evolving landscape of neuroimaging and precision diagnostics. Her work not only advances the theoretical framework of image registration but also has tangible applications in understanding brain development and supporting clinical decision-making. With a growing international profile and a solid research portfolio, Dr. Che is well-positioned to lead interdisciplinary collaborations and tackle complex challenges in healthcare technologies. Her future endeavors aim to enhance diagnostic imaging tools and foster AI-driven innovations for personalized medicine. Dr. Che exemplifies the next generation of researchers driving innovation at the intersection of technology, medicine, and data science.

Pan Wang | Neuroscience | Best Researcher Award

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Dr. Pan Wang | Neuroscience | Best Researcher Award

Postdoctoral Researcher at Affiliated First Hospital of Zhejiang University School of Medicine, China.

Dr. Pan Wang is a postdoctoral researcher at the Department of Pathology, Zhejiang University School of Medicine. With a background in human anatomy, embryology, and pathology, Dr. Wang’s research focuses on neurodegenerative diseases, particularly Alzheimer’s and Parkinson’s disease. His work explores molecular pathways, extracellular vesicles, and neurovascular mechanisms in disease pathogenesis and diagnosis.

Publication Profile

Scopus

Educational Details

  • Ph.D. in Human Anatomy and Embryology – China Medical University, China (2016-2020)

  • M.S. in Human Anatomy and Embryology – Jinzhou Medical University, China (2009-2012)

  • B.S. in Clinical Medicine – Jinzhou Medical University, China (2004-2009)

Professional Experience

Dr. Wang has extensive experience in neuropathology research. Since 2021, he has been a postdoctoral researcher at Zhejiang University, investigating spatial transcriptomics and disease biomarkers in Alzheimer’s and Parkinson’s disease. Before that, he worked as an Assistant Researcher in the Department of Neurobiology at Jinzhou Medical University (2012–2016), where he contributed to studies on synaptic dysfunction, neuroinflammation, and vascular pathology in neurodegenerative conditions.

Research Interest

  • Molecular mechanisms of Alzheimer’s & Parkinson’s disease

  • Neurovascular interactions and blood-brain barrier dysfunction

  • Role of extracellular vesicles in neurodegeneration

  • Spatial transcriptomics and precision diagnostics in neuropathology

Author Metrics

​As of April 2025, Dr. Pan Wang has authored over 8 publications, with a total citation count exceeding 3,200 and an h-index of 25. These metrics reflect the impact and recognition of his research contributions in the scientific community.

Top Noted Publication

  • Molecular pathways and diagnosis in spatially resolved Alzheimer’s hippocampal atlas

    • Journal: Neuron (2025)

    • DOI: 10.1016/j.neuron.2025.03.002

    • Summary: Investigates molecular mechanisms in the hippocampus using spatial transcriptomics to advance Alzheimer’s disease diagnostics.

  • α-Synuclein-carrying astrocytic extracellular vesicles in Parkinson pathogenesis and diagnosis

    • Journal: Translational Neurodegeneration (2023)

    • DOI: 10.1186/s40035-023-00372-y

    • Summary: Identifies the role of astrocytic extracellular vesicles in the spread of α-synuclein and their potential as diagnostic markers in Parkinson’s disease.

  • Melatonin ameliorates microvessel abnormalities in the cerebral cortex and hippocampus in a rat model of Alzheimer’s disease

    • Journal: Neural Regeneration Research (2021)

    • DOI: 10.4103/1673-5374.295349

    • Summary: Explores melatonin’s neuroprotective effects on microvascular dysfunction in Alzheimer’s disease.

  • Regulatory role of melatonin in Notch1 signaling pathway in cerebral cortex of Aβ(1-42)-induced Alzheimer’s disease rat model

    • Journal: Molecular Biology Reports (2023)

    • DOI: 10.1007/s11033-022-08213-3

    • Summary: Examines melatonin’s modulation of Notch1 signaling in Alzheimer’s pathology.

  • Effects of the genetic knockout of the β-1,3-galactosyltransferase 2 on spatial learning and neurons in the adult mouse hippocampus and somatosensory cortex

    • Journal: Neuroreport (2023)

    • DOI: 10.1097/wnr.0000000000001857

    • Summary: Investigates the impact of β-1,3-galactosyltransferase 2 knockout on cognitive functions and neurodevelopment.

  • Protective effect of melatonin on soluble Aβ1-42-induced memory impairment, astrogliosis, and synaptic dysfunction via the Musashi1/Notch1/Hes1 signaling pathway in the rat hippocampus

    • Journal: Alzheimer’s Research & Therapy (2016)

    • DOI: 10.1186/s13195-016-0206-x

    • Summary: Demonstrates melatonin’s protective role against Aβ1-42-induced neurotoxicity.

  • Astrocytic VEGFA: An essential mediator in blood-brain-barrier disruption in Parkinson’s disease

    • Journal: Glia (2022)

    • DOI: 10.1002/glia.24109

    • Summary: Identifies VEGFA as a critical factor in blood-brain barrier dysfunction in Parkinson’s disease.

  • Erythrocytic α-Synuclein and the Gut Microbiome: Kindling of the Gut-Brain Axis in Parkinson’s Disease

    • Journal: Movement Disorders (2024)

    • DOI: [Pending]

    • Summary: Explores the gut-brain axis in Parkinson’s disease, focusing on erythrocytic α-synuclein interactions with the microbiome.

Conclusion

Dr. Pan Wang is a highly qualified candidate for the Best Researcher Award, given his impactful contributions to neuroscience, strong publication record, and high citation count. His expertise in neurodegenerative diseases and innovative research techniques positions him as a leading figure in his field.

To further strengthen his candidacy, expanding international collaborations, securing research funding, and taking on leadership roles would elevate his profile for top-tier research awards.