Hsin‐Fu Lee
- Cardiology and Cardiovascular Medicine top 2%
- Internal Medicine top 1%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Co-authors
- Yi‐Hsin ChanChi‐Tai KuoYung‐Hsin YehShang‐Hung ChangLai‐Chu SeeLung‐Sheng WuHui‐Tzu TuTze‐Fan Chao
- Topics
- Atrial Fibrillation Management and Outcomes (21 papers)Venous Thromboembolism Diagnosis and Management (14 papers)Antiplatelet Therapy and Cardiovascular Diseases (11 papers)
- Cited by
- Internal MedicineCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Journals
- Journal of the American College of CardiologyPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- TaiwanUnited KingdomDenmark
In The Last Decade
Hsin‐Fu Lee
55 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 62
- Cardiology and Cardiovascular Medicine 859
- Internal Medicine 311
- Surgery 158
- Endocrinology, Diabetes and Metabolism 127
- Epidemiology 122
Countries citing papers authored by Hsin‐Fu Lee
This map shows the geographic impact of Hsin‐Fu 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 Hsin‐Fu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin‐Fu Lee more than expected).
Fields of papers citing papers by Hsin‐Fu Lee
This network shows the impact of papers produced by Hsin‐Fu 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 Hsin‐Fu Lee. The network helps show where Hsin‐Fu Lee may publish in the future.
Co-authorship network of co-authors of Hsin‐Fu Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Hsin‐Fu Lee. A scholar is included among the top collaborators of Hsin‐Fu 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 Hsin‐Fu Lee. Hsin‐Fu 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 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 28 | |
| 10 | 5 | |
| 11 | 26 | |
| 12 | 29 | |
| 13 | 63 | |
| 14 | 16 | |
| 15 | 24 | |
| 16 | 57 | |
| 17 | 1 | |
| 18 | 60 | |
| 19 | 8 | |
| 20 | 23 |
About Hsin‐Fu Lee
Hsin‐Fu Lee is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Nephrology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (21 papers), Venous Thromboembolism Diagnosis and Management (14 papers) and Antiplatelet Therapy and Cardiovascular Diseases (11 papers). The work is most often cited by research in Internal Medicine (311 citations), Cardiology and Cardiovascular Medicine (859 citations) and Endocrinology, Diabetes and Metabolism (127 citations). Hsin‐Fu Lee has collaborated with scholars based in Taiwan, United Kingdom and Denmark. Frequent co-authors include Yi‐Hsin Chan, Chi‐Tai Kuo, Yung‐Hsin Yeh, Shang‐Hung Chang, Lai‐Chu See, Lung‐Sheng Wu, Hui‐Tzu Tu, Tze‐Fan Chao, Gregory Y.H. Lip and Chunli Wang. 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.