Yau‐Jiunn Lee
- Epidemiology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Co-authors
- Shyi‐Jang ShinFu‐Mei ChungJack C.‐R. TsaiDao‐Ming ChangWei‐Chin HungTeng‐Hung YuYu‐Hung ChangChao-Ping Wang
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (15 papers)Diabetes Management and Education (14 papers)Cardiovascular Function and Risk Factors (14 papers)
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Yau‐Jiunn Lee
103 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Epidemiology 1.3k
- Cardiology and Cardiovascular Medicine 861
- Physiology 850
- Endocrinology, Diabetes and Metabolism 665
- Molecular Biology 531
Countries citing papers authored by Yau‐Jiunn Lee
This map shows the geographic impact of Yau‐Jiunn Lee'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 Yau‐Jiunn Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yau‐Jiunn Lee more than expected).
Fields of papers citing papers by Yau‐Jiunn Lee
This network shows the impact of papers produced by Yau‐Jiunn Lee. 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 Yau‐Jiunn Lee. The network helps show where Yau‐Jiunn Lee may publish in the future.
Co-authorship network of co-authors of Yau‐Jiunn Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Yau‐Jiunn Lee. A scholar is included among the top collaborators of Yau‐Jiunn Lee 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 Yau‐Jiunn Lee. Yau‐Jiunn Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 9 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 16 | |
| 14 | 77 | |
| 15 | 17 | |
| 16 | 63 | |
| 17 | Elevated Plasma Level of Visfatin/Pre-B Cell Colony-Enhancing Factor in Patients with Type 2 Diabetes Mellitusbreakdown → | 559 |
| 18 | 39 | |
| 19 | 3 | |
| 20 | 123 |
About Yau‐Jiunn Lee
Yau‐Jiunn Lee is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 110 papers that have together received 3.4k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (15 papers), Diabetes Management and Education (14 papers) and Cardiovascular Function and Risk Factors (14 papers). The work is most often cited by research in Endocrine and Autonomic Systems (320 citations), Nephrology (331 citations) and Endocrinology, Diabetes and Metabolism (665 citations). Yau‐Jiunn Lee has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Shyi‐Jang Shin, Fu‐Mei Chung, Jack C.‐R. Tsai, Dao‐Ming Chang, Wei‐Chin Hung, Teng‐Hung Yu, Yu‐Hung Chang, Chao-Ping Wang, Ruey‐Hsia Wang and Yung‐Chuan Lu. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Endocrinology.
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.