Wei Tang
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
-
- Diabetes Treatment and Management 6
- Diabetes, Cardiovascular Risks, and Lipoproteins 5
- Thyroid Disorders and Treatments 5
- Thyroid Cancer Diagnosis and Treatment 4
- Surgery 19
- Pancreatic function and diabetes 10
- Co-authors
- Jonathan M. Graff (5 shared papers)Jae Myoung Suh (3 shared papers)Daniel Zeve (3 shared papers)Michelle D. Tallquist (1 shared paper)Darko Bosnakovski (1 shared paper)Robert E. Hammer (1 shared paper)Michael Kyba (1 shared paper)Jin Ho Seo (3 shared papers)
- Journals
- PLoS ONE (5 papers)International Journal of Molecular Medicine (3 papers)Frontiers in Endocrinology (2 papers)Cell Metabolism (2 papers)Diabetes (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wei Tang
68 papers receiving 2.8k citations
Wei Tang's Hit Papers
Peers
Comparison fields: 5 of 137
- Physiology 755
- Genetics 277
- Endocrinology, Diabetes and Metabolism 390
- Epidemiology 659
- Cancer Research 261
Countries citing papers authored by Wei Tang
This map shows the geographic impact of Wei Tang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wei Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Tang more than expected).
Fields of papers citing papers by Wei Tang
This network shows the impact of papers produced by Wei Tang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wei Tang. The network helps show where Wei Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | White Fat Progenitor Cells Reside in the Adipose Vasculature Hit paper breakdown → | 2008 | 928 |
| 2 | 2009 | 209 | |
| 3 | 2014 | 155 | |
| 4 | 2010 | 121 | |
| 5 | 2021 | 108 | |
| 6 | 2017 | 101 | |
| 7 | 2018 | 98 | |
| 8 | 2011 | 80 | |
| 9 | 2012 | 66 | |
| 10 | 2013 | 55 | |
| 11 | 2015 | 54 | |
| 12 | 2014 | 49 | |
| 13 | 2011 | 46 | |
| 14 | 2009 | 44 | |
| 15 | 2020 | 40 | |
| 16 | 2015 | 39 | |
| 17 | 2016 | 38 | |
| 18 | 2018 | 32 | |
| 19 | 2018 | 30 | |
| 20 | 2021 | 29 |
About Wei Tang
Wei Tang is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Genetics and Pathology and Forensic Medicine, having authored 76 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Diabetes Treatment and Management (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Diabetes and associated disorders (5 papers), Thyroid Disorders and Treatments (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Physiology (755 citations), Genetics (277 citations), Endocrinology, Diabetes and Metabolism (390 citations), Epidemiology (659 citations) and Cancer Research (261 citations). Wei Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jonathan M. Graff, Jae Myoung Suh, Daniel Zeve, Michelle D. Tallquist, Darko Bosnakovski, Robert E. Hammer, Michael Kyba, Jin Ho Seo, Daniel C. Berry and Yuwei Jiang. Their work appears in journals such as PLoS ONE, International Journal of Molecular Medicine, Frontiers in Endocrinology, Cell Metabolism and Diabetes.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.