Jianwen Cai
- Public Health, Environmental and Occupational Health top 0.5%
- Physiology top 1%
- Cardiology and Cardiovascular Medicine top 1%
- Statistics and Probability top 0.2%
- General Health Professions top 1%
- Co-authors
- June StevensMichael J. ThunJoy L. WoodElsie R. PamukDavid F. WilliamsonMartha L. DaviglusMargaret S. PepeDouglas E. Schaubel
- Topics
- Statistical Methods and Inference (76 papers)Statistical Methods and Bayesian Inference (71 papers)Obesity, Physical Activity, Diet (51 papers)
- Partner nations
- United StatesChinaSouth Africa
In The Last Decade
Jianwen Cai
340 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Public Health, Environmental and Occupational Health 2.1k
- Physiology 1.9k
- Cardiology and Cardiovascular Medicine 1.6k
- Statistics and Probability 1.3k
- General Health Professions 1.0k
Countries citing papers authored by Jianwen Cai
This map shows the geographic impact of Jianwen Cai'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 Jianwen Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianwen Cai more than expected).
Fields of papers citing papers by Jianwen Cai
This network shows the impact of papers produced by Jianwen Cai. 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 Jianwen Cai. The network helps show where Jianwen Cai may publish in the future.
Co-authorship network of co-authors of Jianwen Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Jianwen Cai. A scholar is included among the top collaborators of Jianwen Cai 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 Jianwen Cai. Jianwen Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 30 | |
| 15 | 29 | |
| 16 | 14 | |
| 17 | 8 | |
| 18 | 28 | |
| 19 | 9 | |
| 20 | Abstract 36: Sedentary Behavior and Cardiometabolic Risk Factors Among US Hispanic/Latino Adults: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) | 3 |
About Jianwen Cai
Jianwen Cai is a scholar working on Statistics and Probability, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine, having authored 369 papers that have together received 9.8k indexed citations. Recurring topics across this work include Statistical Methods and Inference (76 papers), Statistical Methods and Bayesian Inference (71 papers) and Obesity, Physical Activity, Diet (51 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Physiology (1.9k citations) and Public Health, Environmental and Occupational Health (2.1k citations). Jianwen Cai has collaborated with scholars based in United States, China and South Africa. Frequent co-authors include June Stevens, Michael J. Thun, Joy L. Wood, Elsie R. Pamuk, David F. Williamson, Martha L. Daviglus, Margaret S. Pepe, June Stevens, Douglas E. Schaubel and James F. Toole. Their work appears in journals such as New England Journal of Medicine, JAMA and Circulation.
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.