Wen-Lieng Lee
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Molecular Biology
- Epidemiology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Tsun-Jui LiuChih-Tai TingKuo‐Yang WangHui‐Chin LaiWayne Huey‐Herng SheuPing H. WangChih‐Tai TingJaw‐Wen Chen
- Topics
- Coronary Interventions and Diagnostics (24 papers)Cardiac Imaging and Diagnostics (18 papers)Acute Myocardial Infarction Research (18 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismRadiology, Nuclear Medicine and Imaging
- Journals
- Journal of the American College of CardiologyPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Wen-Lieng Lee
99 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Cardiology and Cardiovascular Medicine 612
- Surgery 315
- Molecular Biology 193
- Epidemiology 189
- Radiology, Nuclear Medicine and Imaging 180
Countries citing papers authored by Wen-Lieng Lee
This map shows the geographic impact of Wen-Lieng 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 Wen-Lieng Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen-Lieng Lee more than expected).
Fields of papers citing papers by Wen-Lieng Lee
This network shows the impact of papers produced by Wen-Lieng 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 Wen-Lieng Lee. The network helps show where Wen-Lieng Lee may publish in the future.
Co-authorship network of co-authors of Wen-Lieng Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Wen-Lieng Lee. A scholar is included among the top collaborators of Wen-Lieng 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 Wen-Lieng Lee. Wen-Lieng 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 18 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 43 | |
| 18 | 2 | |
| 19 | 22 | |
| 20 | 12 |
About Wen-Lieng Lee
Wen-Lieng Lee is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Surgery, having authored 107 papers that have together received 1.2k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (24 papers), Cardiac Imaging and Diagnostics (18 papers) and Acute Myocardial Infarction Research (18 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (612 citations), Endocrinology, Diabetes and Metabolism (139 citations) and Radiology, Nuclear Medicine and Imaging (180 citations). Wen-Lieng Lee has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Tsun-Jui Liu, Chih-Tai Ting, Kuo‐Yang Wang, Hui‐Chin Lai, Wayne Huey‐Herng Sheu, Ping H. Wang, Chih‐Tai Ting, Jaw‐Wen Chen, Kae‐Woei Liang and Wen‐Jane Lee. Their work appears in journals such as Journal of the American College of Cardiology, 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.