Sohee Kwon
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 8
- Machine Learning in Bioinformatics 4
- RNA and protein synthesis mechanisms 3
- Receptor Mechanisms and Signaling 2
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- Computational Drug Discovery Methods 6
- Co-authors
- Chaok Seok (11 shared papers)Jonghun Won (3 shared papers)Andriy Kryshtafovych (2 shared papers)Ji‐Hyun Lee (1 shared paper)Hyeonuk Woo (2 shared papers)Seeun Kim (1 shared paper)Gyu Rie Lee (1 shared paper)Hahnbeom Park (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (3 papers)Computational and Structural Biotechnology Journal (2 papers)Journal of Computational Chemistry (1 paper)Journal of Biological Chemistry (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Sohee Kwon
12 papers receiving 183 citations
Peers
Comparison fields: 5 of 62
- Computational Theory and Mathematics 45
- Structural Biology 4
- Molecular Biology 120
- Cellular and Molecular Neuroscience 16
- Molecular Medicine 4
Countries citing papers authored by Sohee Kwon
This map shows the geographic impact of Sohee Kwon'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 Sohee Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sohee Kwon more than expected).
Fields of papers citing papers by Sohee Kwon
This network shows the impact of papers produced by Sohee Kwon. 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 Sohee Kwon. The network helps show where Sohee Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Sohee Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 38 | |
| 2 | 2020 | 38 | |
| 3 | 2022 | 27 | |
| 4 | 2021 | 17 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2024 | 3 | |
| 12 | 2023 | 2 |
About Sohee Kwon
Sohee Kwon is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Materials Chemistry and Organic Chemistry, having authored 12 papers that have together received 185 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (6 papers), Machine Learning in Bioinformatics (4 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (2 papers), Receptor Mechanisms and Signaling (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Computational Theory and Mathematics (45 citations), Structural Biology (4 citations), Molecular Biology (120 citations), Cellular and Molecular Neuroscience (16 citations) and Molecular Medicine (4 citations). Sohee Kwon has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Chaok Seok, Jonghun Won, Andriy Kryshtafovych, Ji‐Hyun Lee, Hyeonuk Woo, Seeun Kim, Gyu Rie Lee, Hahnbeom Park, Sumin Lee and Krzysztof Fidelis. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Computational and Structural Biotechnology Journal, Journal of Computational Chemistry, Journal of Biological Chemistry and Journal of Chemical Information and Modeling.
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.