Weidong Chai
- Molecular Biology
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology
- Co-authors
- Zhenqi LiuEugene J. BarrettWenhong CaoWenhui WangZhenhua DongAmy J. MathersHong WangKatie E. Barry
- Topics
- Adipose Tissue and Metabolism (9 papers)Viral gastroenteritis research and epidemiology (5 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Weidong Chai
34 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 503
- Physiology 404
- Endocrinology, Diabetes and Metabolism 355
- Cardiology and Cardiovascular Medicine 313
- Epidemiology 212
Countries citing papers authored by Weidong Chai
This map shows the geographic impact of Weidong Chai'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 Weidong Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weidong Chai more than expected).
Fields of papers citing papers by Weidong Chai
This network shows the impact of papers produced by Weidong Chai. 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 Weidong Chai. The network helps show where Weidong Chai may publish in the future.
Co-authorship network of co-authors of Weidong Chai
This figure shows the co-authorship network connecting the top 25 collaborators of Weidong Chai. A scholar is included among the top collaborators of Weidong Chai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weidong Chai. Weidong Chai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 140 | |
| 3 | 17 | |
| 4 | 5 | |
| 5 | 34 | |
| 6 | 80 | |
| 7 | 61 | |
| 8 | 64 | |
| 9 | 30 | |
| 10 | 162 | |
| 11 | 69 | |
| 12 | 36 | |
| 13 | 59 | |
| 14 | 43 | |
| 15 | 21 | |
| 16 | 60 | |
| 17 | 123 | |
| 18 | Integrated Coal Gasification Combined Cycle | 1 |
| 19 | An experimental study of the relationship between hyperglycemia and insulin-mediated endothelium-dependent vasodilation | 1 |
| 20 | The culture of fetal bovine arterial endothelial cells | 1 |
About Weidong Chai
Weidong Chai is a scholar working on Complementary and alternative medicine, Molecular Medicine and Endocrinology, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Viral gastroenteritis research and epidemiology (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Molecular Medicine (143 citations), Endocrinology, Diabetes and Metabolism (355 citations) and Endocrinology (85 citations). Weidong Chai has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Zhenqi Liu, Eugene J. Barrett, Wenhong Cao, Wenhui Wang, Zhenhua Dong, Amy J. Mathers, Hong Wang, Katie E. Barry, Guolian Li and Nasui Wang. Their work appears in journals such as PLoS ONE, Circulation Research and Applied and Environmental Microbiology.
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.