Jack C.‐R. Tsai
- Epidemiology top 5%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrine and Autonomic Systems top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Yau‐Jiunn LeeShyi‐Jang ShinFu‐Mei ChungDao‐Ming ChangSheng‐Hsiung SheuHerng‐Chia ChiuJin‐Shiung ChengKang-Ju Chou
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (5 papers)Adipose Tissue and Metabolism (3 papers)Regulation of Appetite and Obesity (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismDiabetes CareArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- Taiwan
In The Last Decade
Jack C.‐R. Tsai
12 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Epidemiology 701
- Physiology 392
- Cardiology and Cardiovascular Medicine 299
- Endocrine and Autonomic Systems 220
- Endocrinology, Diabetes and Metabolism 212
Countries citing papers authored by Jack C.‐R. Tsai
This map shows the geographic impact of Jack C.‐R. Tsai'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 Jack C.‐R. Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack C.‐R. Tsai more than expected).
Fields of papers citing papers by Jack C.‐R. Tsai
This network shows the impact of papers produced by Jack C.‐R. Tsai. 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 Jack C.‐R. Tsai. The network helps show where Jack C.‐R. Tsai may publish in the future.
Co-authorship network of co-authors of Jack C.‐R. Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Jack C.‐R. Tsai. A scholar is included among the top collaborators of Jack C.‐R. Tsai 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 Jack C.‐R. Tsai. Jack C.‐R. Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Elevated Plasma Level of Visfatin/Pre-B Cell Colony-Enhancing Factor in Patients with Type 2 Diabetes Mellitusbreakdown → | 559 |
| 3 | 92 | |
| 4 | 102 | |
| 5 | 144 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 60 | |
| 9 | 123 | |
| 10 | 1 | |
| 11 | 16 | |
| 12 | 44 |
About Jack C.‐R. Tsai
Jack C.‐R. Tsai is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (220 citations), Epidemiology (701 citations) and Physiology (392 citations). Jack C.‐R. Tsai has collaborated with scholars based in Taiwan. Frequent co-authors include Yau‐Jiunn Lee, Shyi‐Jang Shin, Fu‐Mei Chung, Dao‐Ming Chang, Sheng‐Hsiung Sheu, Herng‐Chia Chiu, Jin‐Shiung Cheng, Kang-Ju Chou, Chun‐Peng Liu and Jong‐Khing Huang. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Arteriosclerosis Thrombosis and Vascular Biology.
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.