Jonghun Won
Impact in
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- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Biochemical and Structural Characterization
Papers in
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- Protein Structure and Dynamics 7
- RNA and protein synthesis mechanisms 3
- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 1
- Glycosylation and Glycoproteins Research 1
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- Enzyme Structure and Function 6
- Co-authors
- Chaok Seok (9 shared papers)Gyu Rie Lee (3 shared papers)Lim Heo (1 shared paper)Minkyung Baek (3 shared papers)Andriy Kryshtafovych (3 shared papers)Sohee Kwon (3 shared papers)Hahnbeom Park (3 shared papers)Martin Steinegger (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (4 papers)Nucleic Acids Research (2 papers)Journal of Chemical Information and Modeling (1 paper)Journal of Chemical Theory and Computation (1 paper)
- Partner nations
- South KoreaUnited StatesLithuania
In The Last Decade
Jonghun Won
9 papers receiving 266 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 226
- Structural Biology 4
- Biotechnology 15
- Computational Theory and Mathematics 27
- Infectious Diseases 27
Countries citing papers authored by Jonghun Won
This map shows the geographic impact of Jonghun Won'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 Jonghun Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonghun Won more than expected).
Fields of papers citing papers by Jonghun Won
This network shows the impact of papers produced by Jonghun Won. 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 Jonghun Won. The network helps show where Jonghun Won may publish in the future.
Co-authors
The 17 scholars most cited alongside Jonghun Won, 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 | 2019 | 91 | |
| 2 | 2021 | 47 | |
| 3 | 2019 | 42 | |
| 4 | 2021 | 38 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 14 | |
| 7 | 2018 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2024 | 5 |
About Jonghun Won
Jonghun Won is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 9 papers that have together received 268 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (6 papers), RNA and protein synthesis mechanisms (3 papers), Machine Learning in Bioinformatics (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Genomics and Phylogenetic Studies (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Molecular Biology (226 citations), Structural Biology (4 citations), Biotechnology (15 citations), Computational Theory and Mathematics (27 citations) and Infectious Diseases (27 citations). Jonghun Won has collaborated with scholars based in South Korea, United States and Lithuania. Frequent co-authors include Chaok Seok, Gyu Rie Lee, Lim Heo, Minkyung Baek, Andriy Kryshtafovych, Sohee Kwon, Hahnbeom Park, Martin Steinegger, Bohdan Monastyrskyy and Taeyong Park. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Nucleic Acids Research, Journal of Chemical Information and Modeling and Journal of Chemical Theory and Computation.
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.