Pai‐Feng Hsu
- Cardiology and Cardiovascular Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Oncology top 10%
- Epidemiology top 10%
- Surgery
- Co-authors
- Shih‐Hsien SungShao‐Yuan ChuangHao‐Min ChengShih‐Yuan ChenChen‐Huan ChenChao‐Yu GuoWen‐Chung YuYu‐Lun Cheng
- Topics
- Blood Pressure and Hypertension Studies (8 papers)Heart Failure Treatment and Management (7 papers)Cardiovascular Health and Disease Prevention (7 papers)
- Cited by
- Cardiology and Cardiovascular MedicineInternal MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- TaiwanUnited StatesBrazil
In The Last Decade
Pai‐Feng Hsu
59 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cardiology and Cardiovascular Medicine 744
- Endocrinology, Diabetes and Metabolism 344
- Oncology 329
- Epidemiology 306
- Surgery 261
Countries citing papers authored by Pai‐Feng Hsu
This map shows the geographic impact of Pai‐Feng Hsu'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 Pai‐Feng Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pai‐Feng Hsu more than expected).
Fields of papers citing papers by Pai‐Feng Hsu
This network shows the impact of papers produced by Pai‐Feng Hsu. 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 Pai‐Feng Hsu. The network helps show where Pai‐Feng Hsu may publish in the future.
Co-authorship network of co-authors of Pai‐Feng Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Pai‐Feng Hsu. A scholar is included among the top collaborators of Pai‐Feng Hsu 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 Pai‐Feng Hsu. Pai‐Feng Hsu 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 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | Systemic immune‐inflammation index (SII) predicted clinical outcome in patients with coronary artery diseasebreakdown → | 455 |
| 6 | 35 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 38 | |
| 10 | 20 | |
| 11 | 18 | |
| 12 | 32 | |
| 13 | 23 | |
| 14 | 6 | |
| 15 | 35 | |
| 16 | 31 | |
| 17 | 29 | |
| 18 | 32 | |
| 19 | 43 | |
| 20 | 2 |
About Pai‐Feng Hsu
Pai‐Feng Hsu is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Geriatrics and Gerontology, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (8 papers), Heart Failure Treatment and Management (7 papers) and Cardiovascular Health and Disease Prevention (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (744 citations), Internal Medicine (90 citations) and Endocrinology, Diabetes and Metabolism (344 citations). Pai‐Feng Hsu has collaborated with scholars based in Taiwan, United States and Brazil. Frequent co-authors include Shih‐Hsien Sung, Shao‐Yuan Chuang, Hao‐Min Cheng, Shih‐Yuan Chen, Chen‐Huan Chen, Chao‐Yu Guo, Wen‐Chung Yu, Hao‐Min Cheng, Yu‐Lun Cheng and Hsin‐Bang Leu. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.