Wen‐Chih Wu

382 total papers · 6.2k total citations
219 papers, 4.1k citations indexed

About

Wen‐Chih Wu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Wen‐Chih Wu has authored 219 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Cardiology and Cardiovascular Medicine, 32 papers in Endocrinology, Diabetes and Metabolism and 26 papers in Epidemiology. Recurrent topics in Wen‐Chih Wu's work include Cardiac Health and Mental Health (42 papers), Heart Failure Treatment and Management (35 papers) and Cardiac Imaging and Diagnostics (18 papers). Wen‐Chih Wu is often cited by papers focused on Cardiac Health and Mental Health (42 papers), Heart Failure Treatment and Management (35 papers) and Cardiac Imaging and Diagnostics (18 papers). Wen‐Chih Wu collaborates with scholars based in United States, China and Taiwan. Wen‐Chih Wu's co-authors include Tracey H. Taveira, Gaurav Choudhary, Simin Liu, Peter D. Friedmann, Charles B. Eaton, Satish Sharma, Xiaochen Lin, Jianjun Guo, Steve McKenzie and Xi Zhang and has published in prestigious journals such as JAMA, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Wen‐Chih Wu

202 papers receiving 4.0k citations

Hit Papers

Effects of Exercise Train... 2015 2026 2018 2022 2015 2022 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wen‐Chih Wu 1.5k 632 543 527 438 219 4.1k
Rosa María Bruno 2.7k 1.7× 774 1.2× 577 1.1× 711 1.3× 672 1.5× 183 5.2k
Pauli Puukka 1.8k 1.2× 607 1.0× 742 1.4× 1.0k 2.0× 192 0.4× 181 6.1k
Pietro Scicchitano 1.5k 0.9× 588 0.9× 706 1.3× 418 0.8× 564 1.3× 162 4.0k
Kam S. Woo 2.2k 1.4× 482 0.8× 670 1.2× 543 1.0× 539 1.2× 95 4.4k
Sudhir Kurl 2.6k 1.7× 967 1.5× 353 0.7× 470 0.9× 530 1.2× 182 5.0k
Kenji Toba 1.4k 0.9× 2.0k 3.1× 534 1.0× 502 1.0× 650 1.5× 185 6.3k
Marco Matteo Ciccone 2.2k 1.4× 741 1.2× 981 1.8× 673 1.3× 849 1.9× 290 5.6k
Joan Vila 1.6k 1.0× 674 1.1× 936 1.7× 820 1.6× 408 0.9× 139 5.7k
Areef Ishani 994 0.6× 594 0.9× 963 1.8× 589 1.1× 1.1k 2.6× 127 6.7k
Barry P. McGrath 2.6k 1.7× 334 0.5× 669 1.2× 1.2k 2.2× 623 1.4× 168 5.4k

Countries citing papers authored by Wen‐Chih Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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