Chen-Yen Kuo

23 total papers · 687 total citations
13 papers, 242 citations indexed

About

Chen-Yen Kuo is a scholar working on Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chen-Yen Kuo has authored 13 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chen-Yen Kuo's work include SARS-CoV-2 and COVID-19 Research (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Viral Infections and Immunology Research (3 papers). Chen-Yen Kuo is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Viral Infections and Immunology Research (3 papers). Chen-Yen Kuo collaborates with scholars based in Taiwan, United States and China. Chen-Yen Kuo's co-authors include Cheng‐Hsun Chiu, Yhu‐Chering Huang, Celia Carlos, Jennifer Perera, Jae–Hoon Song, Cheng‐Lung Ku, Jing-Ya Ding, Ban Hock Tan, Phạm Hùng Vân and Anan Chongthaleong and has published in prestigious journals such as Nature Medicine, Clinical Microbiology and Infection and The Pediatric Infectious Disease Journal.

In The Last Decade

Chen-Yen Kuo

13 papers receiving 236 citations

Author Peers

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

Author Last Decade Papers Cites
Chen-Yen Kuo 118 98 50 43 38 13 242
Arnold Catsburg 69 0.6× 122 1.2× 49 1.0× 17 0.4× 7 0.2× 13 324
H Champsaur 123 1.0× 67 0.7× 64 1.3× 22 0.5× 37 1.0× 15 237
N Bannert 85 0.7× 117 1.2× 81 1.6× 14 0.3× 24 0.6× 11 305
Rasheduzzaman Rashu 72 0.6× 52 0.5× 108 2.2× 18 0.4× 165 4.3× 21 317
David G. Beckwith 36 0.3× 166 1.7× 20 0.4× 21 0.5× 30 0.8× 19 277
Mustapha Chamekh 51 0.4× 43 0.4× 62 1.2× 78 1.8× 75 2.0× 14 319
Danielle J. Padilla-Carlin 70 0.6× 67 0.7× 44 0.9× 17 0.4× 11 0.3× 9 293
Stephanie Cagle 138 1.2× 137 1.4× 73 1.5× 17 0.4× 17 0.4× 12 308
Rebecca Sinfield 191 1.6× 133 1.4× 10 0.2× 32 0.7× 30 0.8× 9 321
Catherine A. Cosgrove 240 2.0× 208 2.1× 36 0.7× 16 0.4× 32 0.8× 18 325

Countries citing papers authored by Chen-Yen Kuo

Since Specialization
Citations

This map shows the geographic impact of Chen-Yen Kuo'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 Chen-Yen Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Yen Kuo more than expected).

Fields of papers citing papers by Chen-Yen Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen-Yen Kuo. 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 Chen-Yen Kuo. The network helps show where Chen-Yen Kuo may publish in the future.

Co-authorship network of co-authors of Chen-Yen Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Chen-Yen Kuo. A scholar is included among the top collaborators of Chen-Yen Kuo 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 Chen-Yen Kuo. Chen-Yen Kuo 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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2026