Won‐Chul Lee
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
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- Diabetes Management and Education
- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 3
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- Cancer Genomics and Diagnostics 7
- Co-authors
- Hyuk‐Sang Kwon (9 shared papers)Jong‐Il Kim (7 shared papers)Jong-Yeon Shin (5 shared papers)Jeong‐Sun Seo (5 shared papers)Young Seok Ju (4 shared papers)Thomas Bleazard (2 shared papers)Kun‐Ho Yoon (7 shared papers)Young Tae Kim (2 shared papers)
- Journals
- PLoS ONE (3 papers)Genome Research (2 papers)Diabetes Care (2 papers)Clinical Endocrinology (2 papers)Cancer Research (2 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Won‐Chul Lee
41 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 134
- Cancer Research 343
- Endocrinology, Diabetes and Metabolism 316
- Pulmonary and Respiratory Medicine 454
- Oncology 292
- Molecular Biology 678
Countries citing papers authored by Won‐Chul Lee
This map shows the geographic impact of Won‐Chul 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‐Chul 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‐Chul Lee more than expected).
Fields of papers citing papers by Won‐Chul Lee
This network shows the impact of papers produced by Won‐Chul 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‐Chul Lee. The network helps show where Won‐Chul Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Won‐Chul Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 433 | |
| 2 | 2011 | 350 | |
| 3 | 2013 | 251 | |
| 4 | 2004 | 152 | |
| 5 | 2006 | 151 | |
| 6 | 2004 | 121 | |
| 7 | 2014 | 94 | |
| 8 | 2013 | 86 | |
| 9 | 2013 | 73 | |
| 10 | 2013 | 38 | |
| 11 | 2008 | 37 | |
| 12 | 2014 | 37 | |
| 13 | 2010 | 34 | |
| 14 | 2012 | 34 | |
| 15 | 2012 | 32 | |
| 16 | 2008 | 26 | |
| 17 | 2011 | 26 | |
| 18 | 2014 | 25 | |
| 19 | 2020 | 24 | |
| 20 | 2010 | 24 |
About Won‐Chul Lee
Won‐Chul Lee is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and General Health Professions, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Traditional Chinese Medicine Studies (3 papers), Ferroptosis and cancer prognosis (3 papers), Health and Wellbeing Research (3 papers), RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers), Blood Pressure and Hypertension Studies (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Cancer Research (343 citations), Endocrinology, Diabetes and Metabolism (316 citations), Pulmonary and Respiratory Medicine (454 citations), Oncology (292 citations) and Molecular Biology (678 citations). Won‐Chul Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Hyuk‐Sang Kwon, Jong‐Il Kim, Jong-Yeon Shin, Jeong‐Sun Seo, Young Seok Ju, Thomas Bleazard, Kun‐Ho Yoon, Young Tae Kim, Jin Hyoung Kang and Ho‐Young Son. Their work appears in journals such as PLoS ONE, Genome Research, Diabetes Care, Clinical Endocrinology and Cancer Research.
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.