Hung-Fat Tse
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Cellular and Molecular Neuroscience
- Co-authors
- Chung‐Wah SiuC. Y. YeungAnnie W. C. KungChu‐Pak LauCHU‐PAK LAUVincent PongMingliang ZuoS. Liu
- Topics
- Cardiac electrophysiology and arrhythmias (10 papers)Cardiac Arrhythmias and Treatments (7 papers)Atrial Fibrillation Management and Outcomes (6 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismEndocrine and Autonomic Systems
- Journals
- Journal of the American College of CardiologyCHEST JournalThe American Journal of Cardiology
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Hung-Fat Tse
15 papers receiving 594 citations
Peers
Comparison fields: 5 of 61
- Cardiology and Cardiovascular Medicine 484
- Molecular Biology 125
- Endocrinology, Diabetes and Metabolism 110
- Surgery 70
- Cellular and Molecular Neuroscience 29
Countries citing papers authored by Hung-Fat Tse
This map shows the geographic impact of Hung-Fat Tse'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 Hung-Fat Tse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung-Fat Tse more than expected).
Fields of papers citing papers by Hung-Fat Tse
This network shows the impact of papers produced by Hung-Fat Tse. 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 Hung-Fat Tse. The network helps show where Hung-Fat Tse may publish in the future.
Co-authorship network of co-authors of Hung-Fat Tse
This figure shows the co-authorship network connecting the top 25 collaborators of Hung-Fat Tse. A scholar is included among the top collaborators of Hung-Fat Tse 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 Hung-Fat Tse. Hung-Fat Tse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 116 | |
| 3 | 10 | |
| 4 | 59 | |
| 5 | 30 | |
| 6 | 165 | |
| 7 | 13 | |
| 8 | 21 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 55 | |
| 12 | 97 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 15 |
About Hung-Fat Tse
Hung-Fat Tse is a scholar working on Cardiology and Cardiovascular Medicine, Ophthalmology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 611 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (10 papers), Cardiac Arrhythmias and Treatments (7 papers) and Atrial Fibrillation Management and Outcomes (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (484 citations), Endocrinology, Diabetes and Metabolism (110 citations) and Endocrine and Autonomic Systems (13 citations). Hung-Fat Tse has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Chung‐Wah Siu, C. Y. Yeung, Annie W. C. Kung, Chu‐Pak Lau, CHU‐PAK LAU, Vincent Pong, Mingliang Zuo, S. Liu, Kwok–Fai Lam and Catherine Y. Lau. Their work appears in journals such as Journal of the American College of Cardiology, CHEST Journal and The American Journal of Cardiology.
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.