Kun-Sei Lee

112 papers receiving 1.4k citations

Peers

Kun-Sei Lee
Comparison fields: 5 of 84
  • Family Practice 53
  • Pathology and Forensic Medicine 78
  • Endocrinology, Diabetes and Metabolism 65
  • Oncology 77
  • Reproductive Medicine 34
Replace Luís Lizán with:
Luís Lizán Spain
Chen Yang China
Stanford Shoor United States
Lei Si Australia
Saber Boutayeb Morocco
Young Sik Kim South Korea
Andrew K. Diehl United States
Victor Okunrintemi United States
Steven J. Bowlin United States
Rolf J. Sebaldt Canada
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Citations per field
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Luís Lizán · 1×
Citations per year

Countries citing papers authored by Kun-Sei Lee

Since Specialization
Citations

This map shows the geographic impact of Kun-Sei 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-Sei 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-Sei Lee more than expected).

Fields of papers citing papers by Kun-Sei Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kun-Sei 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-Sei Lee Line = papers co-authored together Kun-Sei Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007111
2 2013102
3 200390
4 201882
5
Korean Multi-center Cancer Cohort Study including a Biological Materials Bank (KMCC-I).
200276
6 201875
7 200961
8 202040
9 201139
10
Polycyclic aromatic hydrocarbon-induced oxidative stress, antioxidant capacity, and the risk of lung cancer: a pilot nested case-control study.
201338
11 200931
12 200530
13 201026
14 201225
15 201625
16 202321
17 201720
18 201920
19 200919
20 201819

About Kun-Sei Lee

Kun-Sei Lee is a scholar working on Economics and Econometrics, Epidemiology, General Health Professions, Family Practice and Cardiology and Cardiovascular Medicine, having authored 117 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (9 papers), Global Cancer Incidence and Screening (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Smoking Behavior and Cessation (3 papers), Medication Adherence and Compliance (3 papers), Healthcare Policy and Management (3 papers), Acute Myocardial Infarction Research (3 papers) and Clinical Laboratory Practices and Quality Control (3 papers). The work is most often cited by research in Family Practice (53 citations), Pathology and Forensic Medicine (78 citations), Endocrinology, Diabetes and Metabolism (65 citations), Oncology (77 citations) and Reproductive Medicine (34 citations). Kun-Sei Lee has collaborated with scholars based in South Korea, Philippines and Australia. Frequent co-authors include Hyeongsu Kim, Soung Hoon Chang, Hyeong Su Kim, Sue K. ParK, Jae Wook Choi, Soung-Hoon Chang, Yun Jeong Lim, Sung Vin Yim, Choon Seon Park and Jae Jeong Yang. Their work appears in journals such as Journal of Korean Medical Science, Asian Nursing Research, International Journal of Environmental Research and Public Health, Medicine and Environmental Health and Preventive Medicine.

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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