Sohee Kwon
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 6
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- Protein Structure and Dynamics 9
- Machine Learning in Bioinformatics 4
- RNA and protein synthesis mechanisms 3
- Receptor Mechanisms and Signaling 2
- 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)Sumin Lee (1 shared paper)Hahnbeom Park (1 shared paper)Seeun Kim (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (4 papers)Computational and Structural Biotechnology Journal (2 papers)Critical Care Clinics (1 paper)Journal of Computational Chemistry (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Sohee Kwon
13 papers receiving 290 citations
Peers
Comparison fields: 5 of 68
- Structural Biology 7
- Computational Theory and Mathematics 69
- Molecular Biology 210
- Materials Chemistry 67
- Cellular and Molecular Neuroscience 18
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 | 85 | |
| 2 | 2020 | 43 | |
| 3 | 2021 | 40 | |
| 4 | 2022 | 32 | |
| 5 | 2021 | 19 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2024 | 8 | |
| 11 | 2021 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 2 |
About Sohee Kwon
Sohee Kwon is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Health Informatics and Molecular Medicine, having authored 13 papers that have together received 293 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (6 papers), Machine Learning in Bioinformatics (4 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Receptor Mechanisms and Signaling (2 papers) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Structural Biology (7 citations), Computational Theory and Mathematics (69 citations), Molecular Biology (210 citations), Materials Chemistry (67 citations) and Cellular and Molecular Neuroscience (18 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, Sumin Lee, Hahnbeom Park, Seeun Kim, Gyu Rie Lee and Yeol Kyo Choi. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Computational and Structural Biotechnology Journal, Critical Care Clinics, Journal of Computational Chemistry and Nucleic Acids 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.