Won-Kee Lee

1.3k citations
40 papers · 1.0k · h-index 15

Impact in

Papers in

Won-Kee Lee

40 papers receiving 1.0k citations

Peers

Won-Kee Lee
Comparison fields: 5 of 96
  • Internal Medicine 81
  • Physiology 404
  • Rehabilitation 43
  • Pathology and Forensic Medicine 103
  • Nutrition and Dietetics 81
Replace José Pedro L. Nunes with:
José Pedro L. Nunes Portugal
Valentina Parisi Italy
Christopher J. Womack United States
Fezan Mutlu Türkiye
Pi‐Hua Liu Taiwan
Alexandra Hammer Austria
A. M. A. Gader Saudi Arabia
Paweł T. Matusik Poland
Silke Wiedmann Germany
Joanna Janowska Poland
Won-Kee Lee relative to José Pedro L. Nunes Portugal José Pedro L. Nunes's profile →
Citations per field
00.5×5.4×
José Pedro L. Nunes · 1×
Citations per year

Countries citing papers authored by Won-Kee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won-Kee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013362
2 2018102
3 201052
4 201341
5 201540
6 200936
7 201136
8 201034
9 201027
10 201527
11 200924
12 201523
13 201422
14 201517
15 201115
16 201614
17 201814
18 201613
19 200913
20 200812

About Won-Kee Lee

Won-Kee Lee is a scholar working on Nutrition and Dietetics, Physiology, Internal Medicine, Molecular Biology and Pathology and Forensic Medicine, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nutrition, Health and Food Behavior (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Health and Wellbeing Research (3 papers), Bone health and osteoporosis research (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Phytoestrogen effects and research (2 papers), Health Education and Validation (1 paper) and Gestational Diabetes Research and Management (1 paper). The work is most often cited by research in Internal Medicine (81 citations), Physiology (404 citations), Rehabilitation (43 citations), Pathology and Forensic Medicine (103 citations) and Nutrition and Dietetics (81 citations). Won-Kee Lee has collaborated with scholars based in South Korea, China and Belgium. Frequent co-authors include Keun‐Gyu Park, In‐Kyu Lee, Yeon‐Kyung Choi, Jung‐Guk Kim, Hyun-Ae Seo, Ji-Yun Jeong, Kwi Hyun Bae, Mi Kyung Kim, Chang‐Ho Kim and Seung Soo Yoo. Their work appears in journals such as Diabetes Research and Clinical Practice, Thrombosis Research, The Spine Journal, Respirology and Journal of Thoracic Oncology.

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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