Su‐Kiat Chua
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Surgery
- Endocrinology, Diabetes and Metabolism
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Huey‐Ming LoMitsunori MaruyamaShien‐Fong LinPeng‐Sheng ChenMichael Rubart‐von der LoheKou‐Gi ShyuJohn C. LopshireJames N. Weiss
- Topics
- Acute Myocardial Infarction Research (6 papers)Cardiac Imaging and Diagnostics (5 papers)Atrial Fibrillation Management and Outcomes (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismMolecular Biology
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Su‐Kiat Chua
24 papers receiving 383 citations
Peers
Comparison fields: 5 of 68
- Cardiology and Cardiovascular Medicine 300
- Molecular Biology 152
- Surgery 64
- Endocrinology, Diabetes and Metabolism 52
- Radiology, Nuclear Medicine and Imaging 35
Countries citing papers authored by Su‐Kiat Chua
This map shows the geographic impact of Su‐Kiat Chua'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 Su‐Kiat Chua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su‐Kiat Chua more than expected).
Fields of papers citing papers by Su‐Kiat Chua
This network shows the impact of papers produced by Su‐Kiat Chua. 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 Su‐Kiat Chua. The network helps show where Su‐Kiat Chua may publish in the future.
Co-authorship network of co-authors of Su‐Kiat Chua
This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Kiat Chua. A scholar is included among the top collaborators of Su‐Kiat Chua 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 Su‐Kiat Chua. Su‐Kiat Chua 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 | 1 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 25 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 15 | |
| 13 | 15 | |
| 14 | Gender and Age Differences in Short- and Long-Term Outcomes Following Primary Percutaneous Coronary Intervention for ST-Elevation Myocardial Infarction. | 8 |
| 15 | 28 | |
| 16 | 17 | |
| 17 | 12 | |
| 18 | 138 | |
| 19 | 65 | |
| 20 | 10 |
About Su‐Kiat Chua
Su‐Kiat Chua is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 395 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Atrial Fibrillation Management and Outcomes (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (300 citations), Endocrinology, Diabetes and Metabolism (52 citations) and Molecular Biology (152 citations). Su‐Kiat Chua has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Huey‐Ming Lo, Mitsunori Maruyama, Shien‐Fong Lin, Peng‐Sheng Chen, Michael Rubart‐von der Lohe, Kou‐Gi Shyu, John C. Lopshire, James N. Weiss, Tomohiko Ai and Tetsuji Shinohara. Their work appears in journals such as PLoS ONE, Circulation Research and European Journal of Pharmacology.
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.