Kun‐Tai Lee

1.5k citations
88 papers · 1.2k · h-index 20

Impact in

Papers in

Kun‐Tai Lee

83 papers receiving 1.2k citations

Peers

Kun‐Tai Lee
Comparison fields: 5 of 87
  • Cardiology and Cardiovascular Medicine 664
  • Periodontics 33
  • Endocrinology, Diabetes and Metabolism 112
  • Surgery 200
  • Internal Medicine 12
Replace Naomi Idei with:
Naomi Idei Japan
Noritaka Fujimura Japan
Ejder Kardeşoğlu Türkiye
John D. Webster United Kingdom
Andrzej Mysiak Poland
Shinsuke Mikami Japan
Jürgen Meyer Germany
Ming-Fong Chen Taiwan
Shogo Matsui Japan
Farina Mohamad Yusoff Japan
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Kun‐Tai Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun‐Tai Lee Line = papers co-authored together Kun‐Tai Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005123
2 200573
3 201560
4 200657
5 200555
6 200749
7 200440
8 201636
9 200435
10 201235
11 201030
12 201228
13 200724
14 202024
15 201222
16 201322
17 200421
18 200521
19 201821
20 200420

About Kun‐Tai Lee

Kun‐Tai Lee is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Surgery and Pulmonary and Respiratory Medicine, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (14 papers), Cardiac electrophysiology and arrhythmias (13 papers), Cardiovascular Function and Risk Factors (12 papers), Atrial Fibrillation Management and Outcomes (12 papers), Cardiac Imaging and Diagnostics (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Cardiovascular Health and Disease Prevention (5 papers) and Ion channel regulation and function (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (664 citations), Periodontics (33 citations), Endocrinology, Diabetes and Metabolism (112 citations), Surgery (200 citations) and Internal Medicine (12 citations). Kun‐Tai Lee has collaborated with scholars based in Taiwan, Czechia and United States. Frequent co-authors include Wen‐Ter Lai, Sheng‐Hsiung Sheu, Chih‐Sheng Chu, Tsung‐Hsien Lin, Ho‐Ming Su, Wen‐Chol Voon, Hsueh‐Wei Yen, Shih‐Huang Lee, MING‐HSIUNG HSIEH and Wei‐Chung Tsai. Their work appears in journals such as International Journal of Cardiology, Journal of Cardiovascular Electrophysiology, Cardiology, Pacing and Clinical Electrophysiology and Journal of the American Society of Echocardiography.

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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