Ying‐Tai Wu
- Physiology top 2%
- Geriatrics and Gerontology top 1%
- Cardiology and Cardiovascular Medicine top 10%
- Complementary and alternative medicine top 2%
- Surgery
- Co-authors
- Chueh‐Lung HwangChih‐Hsuan ChouMeng‐Yueh ChienYen‐Wen WuPan‐Chyr YangChong‐Jen YuJin-Yuan ShihHsu‐Ko Kuo
- Topics
- Body Composition Measurement Techniques (6 papers)Cardiovascular and exercise physiology (5 papers)Cardiovascular Function and Risk Factors (4 papers)
- Partner nations
- TaiwanUnited StatesBrazil
In The Last Decade
Ying‐Tai Wu
31 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Physiology 881
- Geriatrics and Gerontology 319
- Cardiology and Cardiovascular Medicine 273
- Complementary and alternative medicine 241
- Surgery 218
Countries citing papers authored by Ying‐Tai Wu
This map shows the geographic impact of Ying‐Tai 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 Ying‐Tai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Tai Wu more than expected).
Fields of papers citing papers by Ying‐Tai Wu
This network shows the impact of papers produced by Ying‐Tai 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 Ying‐Tai Wu. The network helps show where Ying‐Tai Wu may publish in the future.
Co-authorship network of co-authors of Ying‐Tai Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Tai Wu. A scholar is included among the top collaborators of Ying‐Tai 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 Ying‐Tai Wu. Ying‐Tai 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 | 1 | |
| 2 | 11 | |
| 3 | 50 | |
| 4 | Effect of Exercise on Physical Function, Daily Living Activities, and Quality of Life in the Frail Older Adults: A Meta-Analysisbreakdown → | 476 |
| 5 | 9 | |
| 6 | 122 | |
| 7 | 74 | |
| 8 | 18 | |
| 9 | 5 | |
| 10 | 33 | |
| 11 | 10 | |
| 12 | 46 | |
| 13 | 32 | |
| 14 | 329 | |
| 15 | 52 | |
| 16 | 33 | |
| 17 | 50 | |
| 18 | Comparisons of Health-Related Physical Fitness in Different Age Groups | 4 |
| 19 | 17 | |
| 20 | 33 |
About Ying‐Tai Wu
Ying‐Tai Wu is a scholar working on Geriatrics and Gerontology, Complementary and alternative medicine and Physical Therapy, Sports Therapy and Rehabilitation, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (6 papers), Cardiovascular and exercise physiology (5 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Geriatrics and Gerontology (319 citations), Physiology (881 citations) and Physical Therapy, Sports Therapy and Rehabilitation (145 citations). Ying‐Tai Wu has collaborated with scholars based in Taiwan, United States and Brazil. Frequent co-authors include Chueh‐Lung Hwang, Chih‐Hsuan Chou, Meng‐Yueh Chien, Yen‐Wen Wu, Pan‐Chyr Yang, Chong‐Jen Yu, Jin-Yuan Shih, Hsu‐Ko Kuo, David H. Nielsen and Kathleen F. Janz. Their work appears in journals such as PLoS ONE, Medicine & Science in Sports & Exercise and Journal of the American Geriatrics Society.
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.