Wen Wan
- Endocrinology, Diabetes and Metabolism top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- General Health Professions top 10%
- Biomedical Engineering
- Surgery
- Co-authors
- Zhili WangNeda LaiteerapongElbert S. HuangB.M. CohenM. Reza SkandariAaron N. WinnYan HuangErin M. Staab
- Topics
- Diabetes Management and Research (13 papers)Diabetes Management and Education (11 papers)Primary Care and Health Outcomes (11 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismHealth Information ManagementRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaAnnals of Internal MedicineAmerican Journal of Psychiatry
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Wen Wan
51 papers receiving 785 citations
Peers
Comparison fields: 5 of 108
- Endocrinology, Diabetes and Metabolism 231
- Radiology, Nuclear Medicine and Imaging 172
- General Health Professions 129
- Biomedical Engineering 111
- Surgery 104
Countries citing papers authored by Wen Wan
This map shows the geographic impact of Wen Wan'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 Wen Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Wan more than expected).
Fields of papers citing papers by Wen Wan
This network shows the impact of papers produced by Wen Wan. 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 Wen Wan. The network helps show where Wen Wan may publish in the future.
Co-authorship network of co-authors of Wen Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Wen Wan. A scholar is included among the top collaborators of Wen Wan 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 Wen Wan. Wen Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 28 | |
| 14 | 1 | |
| 15 | 23 | |
| 16 | 69 | |
| 17 | 23 | |
| 18 | 9 | |
| 19 | 55 | |
| 20 | 37 |
About Wen Wan
Wen Wan is a scholar working on Endocrinology, Diabetes and Metabolism, Health Informatics and Neuropsychology and Physiological Psychology, having authored 55 papers that have together received 797 indexed citations. Recurring topics across this work include Diabetes Management and Research (13 papers), Diabetes Management and Education (11 papers) and Primary Care and Health Outcomes (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (231 citations), Health Information Management (35 citations) and Radiology, Nuclear Medicine and Imaging (172 citations). Wen Wan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Zhili Wang, Neda Laiteerapong, Elbert S. Huang, B.M. Cohen, M. Reza Skandari, Aaron N. Winn, Yan Huang, Erin M. Staab, Jie Tang and Nan Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and American Journal of Psychiatry.
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.