Xiangjiao Yi | Environmental | Best Researcher Award

Published on by New Scientists

Dr. Xiangjiao Yi | Environmental | Best Researcher Award

Lecturer, Zhejiang Chinese Medical University, China

Dr. Xiangjiao Yi is a rising scholar in environmental and musculoskeletal medicine, currently serving as a Lecturer at the School of Pharmacy, Zhejiang Chinese Medical University. She earned her Ph.D. in Ethnic Medicine (Traditional Chinese Medicine, TCM) from Minzu University of China in 2020, where she was recognized as an Outstanding Graduate and received the Excellent Doctoral Dissertation Award and was jointly trained at the University of Rochester, USA, through a prestigious China Scholarship Council fellowship. Her academic journey also includes a Master’s degree in TCM from Minzu University of China (2016) and a Bachelor’s degree in TCM from Henan University of Chinese Medicine (2012). Professionally, Dr. Xiangjiao Yi has held research appointments as an Assistant Researcher at Westlake University and as a Postdoctoral Fellow at both Westlake University and Zhejiang Chinese Medical University, where she focused on the mechanisms and therapeutic efficacy of TCM in treating musculoskeletal disorders. Her research interests center on the pathogenesis, therapeutic targets and TCM-based interventions for musculoskeletal diseases caused by genetics, aging and environmental toxicants, integrating big data population analyses, GWAS, multi-omics and experimental disease models. Dr. Xiangjiao Yi is proficient in advanced research skills, including gene editing, single-cell and bulk transcriptomics, and observational data analyses, bridging computational and laboratory-based approaches. She has successfully led four competitive projects, including a National Natural Science Foundation of China (NSFC) Youth project, and participated in three additional national-level grants. Her achievements include 11 Scopus-indexed publications with 160 citations and an h-index of 7, along with multiple award-winning conference papers. Among her many honors are the ICMRS Webster Jee Young Investigator Award, the ASBMR Young Investigator Travel Grant and provincial high-level talent recognition. With her innovative methodologies, international training and leadership in multidisciplinary projects, Dr. Xiangjiao Yi demonstrates outstanding potential to advance global research in environmental health and TCM-based musculoskeletal therapeutics.

Profile: Scopus | ORCID | Google Scholar | ResearchGate | Loop | ScholarGPS

Featured Publications

1. Li, J., Yi, X., Yao, Z., Chakkalakal, J. V., Xing, L., & Boyce, B. F. (2020). TNF receptor‐associated factor 6 mediates TNFα‐induced skeletal muscle atrophy in mice during aging. Journal of Bone and Mineral Research, 35(8), 1535–1548.

2. Pan, J., Zhao, M., Yi, X., Tao, J., Li, S., Jiang, Z., Cheng, B., Yuan, H., & Zhang, F. (2022). Acellular nerve grafts supplemented with induced pluripotent stem cell-derived exosomes promote peripheral nerve reconstruction and motor function recovery. Bioactive Materials, 15, 272–287.

3. Dai, X., Yi, X., Wang, Y., Xia, W., Tao, J., Wu, J., Miao, D., & Chen, L. (2022). PQQ dietary supplementation prevents alkylating agent-induced ovarian dysfunction in mice. Frontiers in Endocrinology, 13, 781404.

4. Li, J., Yao, Z., Liu, X., Duan, R., Yi, X., Ayoub, A., Sanders, J. O., Mesfin, A., Xing, L., … [additional authors if needed]. (2023). TGFβ1+CCR5+ neutrophil subset increases in bone marrow and causes age-related osteoporosis in male mice. Nature Communications, 14(1), 159.

5. Yi, X., Tao, J., Qian, Y., Feng, F., Hu, X., Xu, T., Jin, H., Ruan, H., Zheng, H. F., & Tong, P. (2022). Morroniside ameliorates inflammatory skeletal muscle atrophy via inhibiting canonical and non-canonical NF-κB and regulating protein synthesis/degradation. Frontiers in Pharmacology, 13, 1056460.

 

Jun Liu | Climate Change | Best Researcher Award

Published on by New Scientists

Mrs. Jun Liu | Climate Change | Best Researcher Award

Director, Taiyuan University of Technology, China

Mrs. Jun Liu is an Associate Professor at the College of Geological and Surveying Engineering, Taiyuan University of Technology, specializing in remote sensing applications with a strong focus on climate change, carbon estimation, and drought monitoring. She earned her Ph.D. in Remote Sensing of Environment from Nanjing University, China (2012), following a Master’s degree in Remote Sensing of Geological Disaster (2006) and a Bachelor’s degree in Surveying Engineering (2003), both from Taiyuan University of Technology. Her professional experience includes serving as a lecturer at Shanxi Engineering Vocational College (2006–2013), an associate professor since 2013 and a visiting fellow at the Australian National University (2017–2018). Mrs. Jun Liu’s research interests revolve around applying advanced satellite and geospatial technologies to monitor environmental changes and develop sustainable solutions. Her research skills include geospatial data analysis, environmental monitoring, carbon accounting and interdisciplinary project collaboration. She has published extensively in leading international journals and conferences, with 124 documents, 3,189 citations and an h-index of 31, reflecting her academic influence. Recognized for her scholarly contributions, she has earned respect as a dedicated educator and researcher. In conclusion, Mrs. Jun Liu’s impactful research, global collaborations and commitment to addressing climate challenges position her as a deserving candidate for prestigious academic recognition.

Profile: Scopus

Featured Publications

1. Sun, Y., Liu, L., Jiang, L., Chen, Y., Zhang, H., Xu, X., & Liu, Y.* (2023). Unimolecular chiral stepping inversion machine. Journal of the American Chemical Society, 145(28), 16711.

2. Liu, J., Tian, Q., Huang, Y., Du, L., & Wang, L. (2011, June 24–26). Extraction of the corn planting area based on multi-temporal HJ-1 satellite data. The 19th International Conference on Geoinformatics, Shanghai, China. (Accession No. 20113614308210).

3. Liu, J., Tian, Q., Huang, Y., & Du, L. (2012). Dynamic monitoring of summer maize planting information for spatial and temporal variations in Huanghuaihai plain during 2000–2010. Spectroscopy and Spectral Analysis, 32(9), 2534–2539.

4. Liu, J., Tian, Q., Huang, Y., & Du, L. (2013). Monitoring phenology of summer maize in Huanghuaihai using remote sensing technology. Remote Sensing Information, 28(3), 85–90.

5. Liu, J., Tian, Q., Huang, Y., & Du, L. (2012, August 11–13). Extraction of summer maize using MODIS EVI time series in the Huanghuaihai plain. International Conference on Computer Science and Service System, Nanjing, China. (Accession No. 20130615981764).