Sun Min Lee
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Hematology top 10%
Papers in
- Epidemiology 14
- Mycobacterium research and diagnosis 5
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- Tuberculosis Research and Epidemiology 6
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Chulhun L. Chang (23 shared papers)John Qian (3 shared papers)Eun Yup Lee (15 shared papers)Y Suen (2 shared papers)Mitchell S. Cairo (2 shared papers)Hyung Hoi Kim (14 shared papers)Shigeru Ikeda (4 shared papers)Michio Matsumura (4 shared papers)
- Journals
- Annals of Laboratory Medicine (10 papers)Journal of Korean Medical Science (3 papers)American Journal of Clinical Pathology (2 papers)Vaccines (2 papers)Journal of Clinical Microbiology (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Sun Min Lee
68 papers receiving 687 citations
Peers
Comparison fields: 5 of 108
- Infectious Diseases 125
- Hematology 69
- Epidemiology 180
- Internal Medicine 18
- Immunology 112
Countries citing papers authored by Sun Min Lee
This map shows the geographic impact of Sun Min 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 Sun Min Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Min Lee more than expected).
Fields of papers citing papers by Sun Min Lee
This network shows the impact of papers produced by Sun Min 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 Sun Min Lee. The network helps show where Sun Min Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun Min 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 55 | |
| 2 | 1998 | 52 | |
| 3 | 2004 | 44 | |
| 4 | 2011 | 41 | |
| 5 | 2011 | 36 | |
| 6 | 2010 | 34 | |
| 7 | 2012 | 34 | |
| 8 | 2007 | 30 | |
| 9 | 2007 | 29 | |
| 10 | 2010 | 26 | |
| 11 | 2014 | 17 | |
| 12 | 2013 | 17 | |
| 13 | 2012 | 17 | |
| 14 | 2010 | 16 | |
| 15 | 1999 | 15 | |
| 16 | 2006 | 14 | |
| 17 | 2015 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2015 | 11 | |
| 20 | 2007 | 10 |
About Sun Min Lee
Sun Min Lee is a scholar working on Epidemiology, Infectious Diseases, Physiology, Public Health, Environmental and Occupational Health and Hematology, having authored 77 papers that have together received 713 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (5 papers), Blood groups and transfusion (4 papers), Quantum Dots Synthesis And Properties (4 papers), Chalcogenide Semiconductor Thin Films (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Copper-based nanomaterials and applications (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Infectious Diseases (125 citations), Hematology (69 citations), Epidemiology (180 citations), Internal Medicine (18 citations) and Immunology (112 citations). Sun Min Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Chulhun L. Chang, John Qian, Eun Yup Lee, Y Suen, Mitchell S. Cairo, Hyung Hoi Kim, Shigeru Ikeda, Michio Matsumura, Takashi Harada and Eva Knoppel. Their work appears in journals such as Annals of Laboratory Medicine, Journal of Korean Medical Science, American Journal of Clinical Pathology, Vaccines and Journal of Clinical Microbiology.
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.