Jen‐Kuang Lee
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Co-authors
- Donna Shu‐Han LinWen‐Jone ChenLian‐Yu LinCho‐Kai WuChi‐Sheng HungJuey‐Jen HwangYen‐Hung LinYi‐Lwun Ho
- Topics
- Blood Pressure and Hypertension Studies (13 papers)Venous Thromboembolism Diagnosis and Management (12 papers)Peripheral Artery Disease Management (12 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineInternal Medicine
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Jen‐Kuang Lee
83 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Endocrinology, Diabetes and Metabolism 553
- Cardiology and Cardiovascular Medicine 499
- Surgery 441
- Molecular Biology 149
- Pulmonary and Respiratory Medicine 136
Countries citing papers authored by Jen‐Kuang Lee
This map shows the geographic impact of Jen‐Kuang 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 Jen‐Kuang Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jen‐Kuang Lee more than expected).
Fields of papers citing papers by Jen‐Kuang Lee
This network shows the impact of papers produced by Jen‐Kuang 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 Jen‐Kuang Lee. The network helps show where Jen‐Kuang Lee may publish in the future.
Co-authorship network of co-authors of Jen‐Kuang Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Jen‐Kuang Lee. A scholar is included among the top collaborators of Jen‐Kuang 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 Jen‐Kuang Lee. Jen‐Kuang 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 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 51 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 10 | |
| 18 | 18 | |
| 19 | 27 | |
| 20 | The Serum Concentrations of Procollagen Propeptides in Hypertensive Patients with or Without Diabetes | 3 |
About Jen‐Kuang Lee
Jen‐Kuang Lee is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (13 papers), Venous Thromboembolism Diagnosis and Management (12 papers) and Peripheral Artery Disease Management (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (553 citations), Cardiology and Cardiovascular Medicine (499 citations) and Internal Medicine (47 citations). Jen‐Kuang Lee has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Donna Shu‐Han Lin, Wen‐Jone Chen, Lian‐Yu Lin, Cho‐Kai Wu, Chi‐Sheng Hung, Juey‐Jen Hwang, Yen‐Hung Lin, Yi‐Lwun Ho, Vin‐Cent Wu and Chen‐Yu Huang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.