Won Kee Lee

4.5k citations
202 papers · 3.3k · h-index 30

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 5%
    • Cancer-related Molecular Pathways

Papers in

    • Epigenetics and DNA Methylation 15
    • RNA modifications and cancer 14
    • DNA Repair Mechanisms 8
    • Cancer-related gene regulation 7
    • MicroRNA in disease regulation 7

Won Kee Lee

193 papers receiving 3.3k citations

Peers

Won Kee Lee
Comparison fields: 5 of 145
  • Cancer Research 544
  • Oncology 514
  • Molecular Biology 1.2k
  • Physiology 327
  • Hepatology 95
Replace Jianguang Ji with:
Jianguang Ji Sweden
Elizabeth A. Beierle United States
Romana T. Netea‐Maier Netherlands
Santos Castañeda Spain
Mónica Marazuela Spain
Nigel Armstrong United Kingdom
Paraskevi V. Voulgari Greece
Michèle T. Martin France
Rieke Alten Germany
Bobbie S. Gostout United States
Won Kee Lee relative to Jianguang Ji Sweden Jianguang Ji's profile →
Citations per field
00.5×1.7×
Jianguang Ji · 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 202 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008161
2 2005118
3 2014110
4 200793
5 200684
6 200576
7 201264
8 200654
9 200953
10 200951
11 201247
12 200647
13 201647
14 201746
15 201646
16 200445
17 201745
18 201345
19 201341
20 200740

About Won Kee Lee

Won Kee Lee is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 202 papers that have together received 3.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (15 papers), RNA modifications and cancer (14 papers), Lung Cancer Treatments and Mutations (12 papers), DNA Repair Mechanisms (8 papers), Cancer-related Molecular Pathways (7 papers), Cancer-related gene regulation (7 papers), MicroRNA in disease regulation (7 papers) and Lung Cancer Research Studies (7 papers). The work is most often cited by research in Cancer Research (544 citations), Oncology (514 citations), Molecular Biology (1.2k citations), Physiology (327 citations) and Hepatology (95 citations). Won Kee Lee has collaborated with scholars based in South Korea, Sudan and United States. Frequent co-authors include Jae Yong Park, Chang Ho Kim, Jin Eun Choi, Sin Kam, Tae Hoon Jung, Sung Ick, Jin Sung Jang, Young Mo Kang, Dong Sun Kim and Yi Young Choi. Their work appears in journals such as Lung Cancer, Journal of Korean Medical Science, Scientific Reports, Cancer Epidemiology Biomarkers & Prevention and Oncotarget.

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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