S T Wu
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Physiology
- Co-authors
- Joan Wikman‐CoffeltWilliam W. ParmleyShoji KojimaPeter BuserRichard E. SieversC B HigginsJames M. SalhanyRobert S. Eliot
- Topics
- Cardiac electrophysiology and arrhythmias (18 papers)Advanced MRI Techniques and Applications (11 papers)Ion channel regulation and function (10 papers)
- Cited by
- Cardiology and Cardiovascular MedicinePathology and Forensic MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesTaiwanSwitzerland
In The Last Decade
S T Wu
35 papers receiving 614 citations
Peers
Comparison fields: 5 of 73
- Cardiology and Cardiovascular Medicine 382
- Molecular Biology 263
- Pathology and Forensic Medicine 160
- Radiology, Nuclear Medicine and Imaging 149
- Physiology 82
Countries citing papers authored by S T Wu
This map shows the geographic impact of S T Wu'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 S T Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S T Wu more than expected).
Fields of papers citing papers by S T Wu
This network shows the impact of papers produced by S T Wu. 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 S T Wu. The network helps show where S T Wu may publish in the future.
Co-authorship network of co-authors of S T Wu
This figure shows the co-authorship network connecting the top 25 collaborators of S T Wu. A scholar is included among the top collaborators of S T Wu 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 S T Wu. S T Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 29 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 22 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 23 | |
| 10 | 3 | |
| 11 | 15 | |
| 12 | 20 | |
| 13 | 12 | |
| 14 | 19 | |
| 15 | 18 | |
| 16 | 14 | |
| 17 | 10 | |
| 18 | 19 | |
| 19 | 12 | |
| 20 | 56 |
About S T Wu
S T Wu is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 635 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (18 papers), Advanced MRI Techniques and Applications (11 papers) and Ion channel regulation and function (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (382 citations), Pathology and Forensic Medicine (160 citations) and Radiology, Nuclear Medicine and Imaging (149 citations). S T Wu has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include Joan Wikman‐Coffelt, William W. Parmley, Shoji Kojima, Peter Buser, Richard E. Sievers, C B Higgins, James M. Salhany, Robert S. Eliot, G. Jasmin and Nikita Derugin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.
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.