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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- CRISPR and Genetic Engineering 3
- RNA modifications and cancer 3
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- Cancer Genomics and Diagnostics 8
- 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)Young Tae Kim (2 shared papers)Kun‐Ho Yoon (7 shared papers)
- Journals
- PLoS ONE (3 papers)Diabetes Care (2 papers)Clinical Endocrinology (2 papers)Cancer Research (2 papers)Genome Research (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Won‐Chul Lee
41 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 141
- Cancer Research 439
- Endocrinology, Diabetes and Metabolism 458
- Family Practice 41
- Pulmonary and Respiratory Medicine 512
- Oncology 370
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 427 | |
| 2 | 2011 | 351 | |
| 3 | 2013 | 248 | |
| 4 | 2004 | 152 | |
| 5 | 2006 | 150 | |
| 6 | 2004 | 121 | |
| 7 | 2014 | 93 | |
| 8 | 2013 | 84 | |
| 9 | 2013 | 73 | |
| 10 | 2008 | 37 | |
| 11 | 2013 | 37 | |
| 12 | 2014 | 36 | |
| 13 | 2010 | 35 | |
| 14 | 2012 | 34 | |
| 15 | 2012 | 31 | |
| 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, General Health Professions, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 45 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Diabetes Management and Research (4 papers), Health and Wellbeing Research (4 papers), Traditional Chinese Medicine Studies (4 papers), CRISPR and Genetic Engineering (3 papers), RNA modifications and cancer (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Nutritional Studies and Diet (3 papers). The work is most often cited by research in Cancer Research (439 citations), Endocrinology, Diabetes and Metabolism (458 citations), Family Practice (41 citations), Pulmonary and Respiratory Medicine (512 citations) and Oncology (370 citations). Won‐Chul Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hyuk‐Sang Kwon, Jong‐Il Kim, Jong-Yeon Shin, Jeong‐Sun Seo, Young Seok Ju, Thomas Bleazard, Young Tae Kim, Kun‐Ho Yoon, Jin Hyoung Kang and Ho‐Young Son. Their work appears in journals such as PLoS ONE, Diabetes Care, Clinical Endocrinology, Cancer Research and Genome 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.