Kun-Sei Lee

69 papers receiving 727 citations

Peers

Kun-Sei Lee
Comparison fields: 5 of 113
  • Family Practice 29
  • Reproductive Medicine 62
  • Geriatrics and Gerontology 27
  • General Health Professions 170
  • Health 46
Replace Manuel Espinoza with:
Manuel Espinoza Chile
F Lucy Wright United Kingdom
Igor Karp Canada
Hua Lu China
Bogdan Wyrzykowski Poland
Swati Sakhuja United States
Zeeshan Qadri Saudi Arabia
Raha Pazoki United Kingdom
Xuejing Jin China
Rosarin Sruamsiri Thailand
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Citations per field
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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 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007101
2 201864
3 200959
4 201136
5
Polycyclic aromatic hydrocarbon-induced oxidative stress, antioxidant capacity, and the risk of lung cancer: a pilot nested case-control study.
201332
6 200529
7 200929
8 201223
9 201623
10 201918
11 201718
12 200418
13 200917
14 201017
15 202316
16 201913
17 201213
18
Effects of a Self-management Program for Metabolic Syndrome - A Metabolic Syndrome Management Program in Seoul -
201113
19 202012
20 201312

About Kun-Sei Lee

Kun-Sei Lee is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Epidemiology, Nutrition and Dietetics and Cardiology and Cardiovascular Medicine, having authored 74 papers that have together received 767 indexed citations. Recurring topics across this work include Health and Wellbeing Research (25 papers), Diverse Approaches in Healthcare and Education Studies (17 papers), Nutrition, Health and Food Behavior (11 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Psychosocial Factors Impacting Youth (4 papers), Blood Pressure and Hypertension Studies (4 papers), Medication Adherence and Compliance (4 papers) and Geriatric Care and Nursing Homes (4 papers). The work is most often cited by research in Family Practice (29 citations), Reproductive Medicine (62 citations), Geriatrics and Gerontology (27 citations), General Health Professions (170 citations) and Health (46 citations). Kun-Sei Lee has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Hyeongsu Kim, Soung Hoon Chang, Soung-Hoon Chang, Sung Vin Yim, Yun Jeong Lim, Sue K. Park, Chung-Sik Kim, Jae Jeong Yang, Sung Sup Park and Jaekyung Choi. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Korean Medical Science, Asian Nursing Research, Annals of Laboratory Medicine and Clinical Therapeutics.

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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