Wen‐Chih Wu
- Cardiology and Cardiovascular Medicine top 1%
- Physiology top 5%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Tracey H. TaveiraGaurav ChoudharySimin LiuPeter D. FriedmannCharles B. EatonSatish SharmaChristian K. RobertsSteve McKenzie
- Topics
- Cardiac Health and Mental Health (42 papers)Heart Failure Treatment and Management (35 papers)Cardiac Imaging and Diagnostics (18 papers)
- Journals
- JAMACirculationSHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Wen‐Chih Wu
203 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Cardiology and Cardiovascular Medicine 1.6k
- Physiology 637
- Surgery 556
- Endocrinology, Diabetes and Metabolism 533
- Pulmonary and Respiratory Medicine 445
Countries citing papers authored by Wen‐Chih Wu
This map shows the geographic impact of Wen‐Chih 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 Wen‐Chih Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Chih Wu more than expected).
Fields of papers citing papers by Wen‐Chih Wu
This network shows the impact of papers produced by Wen‐Chih 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 Wen‐Chih Wu. The network helps show where Wen‐Chih Wu may publish in the future.
Co-authorship network of co-authors of Wen‐Chih Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Chih Wu. A scholar is included among the top collaborators of Wen‐Chih 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 Wen‐Chih Wu. Wen‐Chih 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 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 12 | |
| 10 | A New Era in Cardiac Rehabilitation Delivery: Research Gaps, Questions, Strategies, and Prioritiesbreakdown → | 87 |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 22 | |
| 18 | POAG genetic risk score performs worse in African-descent than European-descent samples, highlighting need for expanded genetic studies in diverse populations | 0 |
| 19 | 26 | |
| 20 | 18 |
About Wen‐Chih Wu
Wen‐Chih Wu is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Family Practice, having authored 222 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cardiac Health and Mental Health (42 papers), Heart Failure Treatment and Management (35 papers) and Cardiac Imaging and Diagnostics (18 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Geriatrics and Gerontology (255 citations) and Biochemistry (353 citations). Wen‐Chih Wu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Tracey H. Taveira, Gaurav Choudhary, Simin Liu, Peter D. Friedmann, Charles B. Eaton, Satish Sharma, Christian K. Roberts, Steve McKenzie, Xi Zhang and Jianjun Guo. Their work appears in journals such as JAMA, Circulation and SHILAP Revista de lepidopterología.
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.