Sung‐Gwon Lee
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- interferon and immune responses
Papers in
-
- RNA modifications and cancer 3
- RNA Research and Splicing 2
- Epigenetics and DNA Methylation 2
-
- Aquaculture disease management and microbiota 1
- Biomarkers in Disease Mechanisms 1
- Co-authors
- Chungoo Park (22 shared papers)Kee K. Kim (5 shared papers)Prashanta Silwal (3 shared papers)In Soo Kim (5 shared papers)Eun‐Kyeong Jo (5 shared papers)Young Jae Kim (4 shared papers)Jihoon Jo (4 shared papers)Chaeuk Chung (3 shared papers)
- Journals
- Scientific Reports (3 papers)BMC Bioinformatics (3 papers)GigaScience (2 papers)Cellular and Molecular Immunology (1 paper)Nature Communications (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Sung‐Gwon Lee
22 papers receiving 459 citations
Peers
Comparison fields: 5 of 92
- Infectious Diseases 108
- Immunology 69
- Cancer Research 47
- Aquatic Science 23
- Neurology 42
Countries citing papers authored by Sung‐Gwon Lee
This map shows the geographic impact of Sung‐Gwon 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 Sung‐Gwon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Gwon Lee more than expected).
Fields of papers citing papers by Sung‐Gwon Lee
This network shows the impact of papers produced by Sung‐Gwon 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 Sung‐Gwon Lee. The network helps show where Sung‐Gwon Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Sung‐Gwon 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 158 | |
| 2 | 2017 | 57 | |
| 3 | 2019 | 47 | |
| 4 | 2019 | 37 | |
| 5 | 2019 | 26 | |
| 6 | 2021 | 24 | |
| 7 | 2021 | 17 | |
| 8 | 2018 | 16 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2022 | 9 | |
| 12 | 2020 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2021 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2017 | 2 |
About Sung‐Gwon Lee
Sung‐Gwon Lee is a scholar working on Molecular Biology, Immunology, Epidemiology, Ecology and Cancer Research, having authored 26 papers that have together received 462 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers), Echinoderm biology and ecology (2 papers), Epigenetics and DNA Methylation (2 papers), Mycobacterium research and diagnosis (2 papers), Aquaculture disease management and microbiota (1 paper) and Biomarkers in Disease Mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (108 citations), Immunology (69 citations), Cancer Research (47 citations), Aquatic Science (23 citations) and Neurology (42 citations). Sung‐Gwon Lee has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Chungoo Park, Kee K. Kim, Prashanta Silwal, In Soo Kim, Eun‐Kyeong Jo, Young Jae Kim, Jihoon Jo, Chaeuk Chung, Kim Ys and Seungwha Paik. Their work appears in journals such as Scientific Reports, BMC Bioinformatics, GigaScience, Cellular and Molecular Immunology and Nature Communications.
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.