Ying‐Tai Wu

30 papers and 1.6k indexed citations i.

About

Ying‐Tai Wu is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Ying‐Tai Wu has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 10 papers in Cardiology and Cardiovascular Medicine and 6 papers in Surgery. Recurrent topics in Ying‐Tai Wu’s work include Body Composition Measurement Techniques (6 papers), Cardiovascular and exercise physiology (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Ying‐Tai Wu is often cited by papers focused on Body Composition Measurement Techniques (6 papers), Cardiovascular and exercise physiology (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Ying‐Tai Wu collaborates with scholars based in Taiwan, United States and Brazil. Ying‐Tai Wu's co-authors include Chueh‐Lung Hwang, Chih‐Hsuan Chou, Meng‐Yueh Chien, Yen‐Wen Wu, Pan‐Chyr Yang, Chong‐Jen Yu, Jin-Yuan Shih, Chi‐Ming Lee, Hsu‐Ko Kuo and David H. Nielsen and has published in prestigious journals such as PLoS ONE, Medicine & Science in Sports & Exercise and Journal of the American Geriatrics Society.

In The Last Decade

Co-authorship network of co-authors of Ying‐Tai Wu i

Fields of papers citing papers by Ying‐Tai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Ying‐Tai Wu

Since Specialization
Citations

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).

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.

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2025