Kun-Tai Lee

19 total papers · 881 total citations
18 papers, 509 citations indexed

About

Kun-Tai Lee is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Kun-Tai Lee has authored 18 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 3 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Kun-Tai Lee's work include Atrial Fibrillation Management and Outcomes (13 papers), Cardiac Arrhythmias and Treatments (13 papers) and Cardiac electrophysiology and arrhythmias (8 papers). Kun-Tai Lee is often cited by papers focused on Atrial Fibrillation Management and Outcomes (13 papers), Cardiac Arrhythmias and Treatments (13 papers) and Cardiac electrophysiology and arrhythmias (8 papers). Kun-Tai Lee collaborates with scholars based in Taiwan, United States and Japan. Kun-Tai Lee's co-authors include CHING‐TAI TAI, Hsuan-Ming Tsao, Yenn‐Jiang Lin, Shih‐Lin Chang, Shih‐Ann Chen, Ming-Hsiung Hsieh, Yi‐Jen Chen, Jin‐Long Huang, Wen-Ter Lai and Jun-Jack Cheng and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and CHEST Journal.

In The Last Decade

Kun-Tai Lee

18 papers receiving 499 citations

Author Peers

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

Author Last Decade Papers Cites
Kun-Tai Lee 400 47 39 35 31 18 509
Anne-Marie Schjerning 239 0.6× 59 1.3× 21 0.5× 76 2.2× 27 0.9× 17 493
C. Torp‐Pedersen 358 0.9× 28 0.6× 8 0.2× 47 1.3× 28 0.9× 23 475
Rachael L. Fulton 191 0.5× 23 0.5× 24 0.6× 40 1.1× 17 0.5× 20 457
Antônio Carlos Palandri Chagas 188 0.5× 70 1.5× 11 0.3× 70 2.0× 49 1.6× 22 497
Zhaoliang Shan 423 1.1× 66 1.4× 19 0.5× 40 1.1× 10 0.3× 41 558
P.J.D. Snow 244 0.6× 57 1.2× 17 0.4× 73 2.1× 34 1.1× 20 568
Virgil C. Dias 505 1.3× 34 0.7× 26 0.7× 71 2.0× 25 0.8× 15 600
Norbert Klause 323 0.8× 21 0.4× 25 0.6× 54 1.5× 29 0.9× 16 463
Deuk-Young Nah 270 0.7× 136 2.9× 22 0.6× 123 3.5× 34 1.1× 31 498
Woo Jung Park 222 0.6× 61 1.3× 8 0.2× 102 2.9× 38 1.2× 28 451

Countries citing papers authored by Kun-Tai Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kun-Tai Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun-Tai Lee. 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 Kun-Tai Lee. The network helps show where Kun-Tai Lee may publish in the future.

Co-authorship network of co-authors of Kun-Tai Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kun-Tai Lee. A scholar is included among the top collaborators of Kun-Tai Lee 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 Kun-Tai Lee. Kun-Tai Lee 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