Prof. Wei Wu | Medicine | Best Researcher Award
Prof. Wei Wu | Director | Guangdong Provincial Institute of Public Health Guangdong Provincial Center for Disease Control and Prevention | China
Dr. Wei Wu is a distinguished public health scientist specializing in labor and environmental hygiene, microbial epidemiology, and health data analytics. His research primarily explores the intersection of gut microbiota, metabolic diseases, and public health, employing advanced population cohort and multi-omics data analysis to uncover novel biomarkers and disease risk genes. Dr. Wu’s studies contribute significantly to understanding nutrient–gut flora–host interactions, guiding innovative therapeutic targets for metabolic and infectious diseases. He has also made substantial contributions to vaccine health economics and hygiene assessment in rail transit systems. As a postgraduate supervisor and active member of multiple national scientific committees, Dr. Wu plays a vital role in shaping public health policy and research in China. His impactful scientific output has earned recognition in leading journals, including Nature Medicine and Microbiome. According to Scopus, he has published 35 documents with over 1,577 citations, an h-index of 13, and his work is widely cited across 1,498 documents. On Google Scholar, his publications have similarly received extensive academic engagement, underscoring his global research influence in environmental and preventive health sciences.
Publication Profile
Scopus | ORCID
Featured Publications
He, Y., Wu, W., Zheng, H. M., Li, P., McDonald, D., Sheng, H. F., et al. (2018). Regional variation limits applications of healthy gut microbiome reference ranges and disease models. Nature Medicine, 24(10), 1532–1535.
He, Y., Wu, W., Wu, S., Zheng, H. M., Li, P., Sheng, H. F., et al. (2018). Linking gut microbiota, metabolic syndrome and economic status based on a population-level analysis. Microbiome, 6(1), 172.
Guo, X., Yan, M., Huang, D., Chen, S., Zhang, D., Li, Z., Yang, X., & Wu, W. (2023). A large scale 16S ribosomal RNA gene amplicon dataset of hand, foot and mouth patients and healthy individuals. Scientific Data, 10(48), 1–6.
Yan, M., Guo, X., Ji, G., Huang, R., Huang, D., Li, Z., Zhang, D., Chen, S., Cao, R., Yang, X., & Wu, W. (2023). Mechanism-based role of the intestinal microbiota in gestational diabetes mellitus: A systematic review and meta-analysis. Frontiers in Immunology, 13(3), 1–13.
Wang, H., Luo, L., & Wu, W. (2023). SAS statistical analysis and applications from introduction to mastery (2nd ed.). Posts & Telecom Press.