Sung‐Gwon Lee
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Phylogenetic Studies 4
- RNA Research and Splicing 4
- Molecular Biology Techniques and Applications 3
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 2
- Co-authors
- Chungoo Park (20 shared papers)Kee K. Kim (5 shared papers)Eun‐Kyeong Jo (4 shared papers)In Soo Kim (4 shared papers)Ji Eun Kim (2 shared papers)Young Jae Kim (3 shared papers)Chaeuk Chung (2 shared papers)Prashanta Silwal (3 shared papers)
- Journals
- BMC Bioinformatics (3 papers)Scientific Reports (2 papers)GigaScience (2 papers)Virulence (1 paper)Cellular and Molecular Immunology (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Sung‐Gwon Lee
21 papers receiving 429 citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 118
- Cancer Research 59
- Immunology 80
- Aquatic Science 23
- Molecular Biology 202
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 156 | |
| 2 | 2017 | 53 | |
| 3 | 2019 | 44 | |
| 4 | 2019 | 33 | |
| 5 | 2019 | 24 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 15 | |
| 8 | 2018 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 11 | |
| 11 | 2022 | 9 | |
| 12 | 2020 | 8 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2017 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2025 | 1 |
About Sung‐Gwon Lee
Sung‐Gwon Lee is a scholar working on Molecular Biology, Immunology, Ecology, Epidemiology and Cancer Research, having authored 24 papers that have together received 431 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), RNA Research and Splicing (4 papers), Cancer-related molecular mechanisms research (4 papers), Molecular Biology Techniques and Applications (3 papers), RNA modifications and cancer (3 papers), Echinoderm biology and ecology (2 papers), Epigenetics and DNA Methylation (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (118 citations), Cancer Research (59 citations), Immunology (80 citations), Aquatic Science (23 citations) and Molecular Biology (202 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, Eun‐Kyeong Jo, In Soo Kim, Ji Eun Kim, Young Jae Kim, Chaeuk Chung, Prashanta Silwal, Jihoon Jo and Kim Ys. Their work appears in journals such as BMC Bioinformatics, Scientific Reports, GigaScience, Virulence and Cellular and Molecular Immunology.
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.