Seongok Ryu
Impact in
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- Computational Drug Discovery Methods
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- Machine Learning in Materials Science
Papers in
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- Protein Structure and Dynamics 5
- Chemical Synthesis and Analysis 2
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- Computational Drug Discovery Methods 7
- Co-authors
- Woo Youn Kim (6 shared papers)Jaechang Lim (2 shared papers)Yo Joong Choe (1 shared paper)Jiyeon Ham (1 shared paper)Yongchan Kwon (2 shared papers)Sunghwan Choi (3 shared papers)Jaewook Kim (2 shared papers)Grace Lee (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (3 papers)International Journal of Quantum Chemistry (1 paper)The Journal of Chemical Physics (1 paper)Journal of Chemical Theory and Computation (1 paper)Physical Chemistry Chemical Physics (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Seongok Ryu
9 papers receiving 441 citations
Peers
Comparison fields: 5 of 76
- Computational Theory and Mathematics 294
- Materials Chemistry 195
- Molecular Biology 237
- Pharmacology 28
- Computational Mathematics 1
Countries citing papers authored by Seongok Ryu
This map shows the geographic impact of Seongok Ryu'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 Seongok Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seongok Ryu more than expected).
Fields of papers citing papers by Seongok Ryu
This network shows the impact of papers produced by Seongok Ryu. 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 Seongok Ryu. The network helps show where Seongok Ryu may publish in the future.
Co-authors
The 16 scholars most cited alongside Seongok Ryu, 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 | 276 | |
| 2 | 2019 | 102 | |
| 3 | 2020 | 23 | |
| 4 | 2017 | 13 | |
| 5 | 2016 | 8 | |
| 6 | 2016 | 8 | |
| 7 | Deeply learning molecular structure-property relationships using graph attention neural network. | 2018 | 5 |
| 8 | 2024 | 5 | |
| 9 | 2024 | 2 | |
| 10 | 2025 | 0 |
About Seongok Ryu
Seongok Ryu is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 10 papers that have together received 442 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Machine Learning in Materials Science (6 papers), Protein Structure and Dynamics (5 papers), Chemical Synthesis and Analysis (2 papers), Advanced Chemical Physics Studies (2 papers), Luminescence Properties of Advanced Materials (1 paper), Catalysis and Oxidation Reactions (1 paper) and Atomic and Molecular Physics (1 paper). The work is most often cited by research in Computational Theory and Mathematics (294 citations), Materials Chemistry (195 citations), Molecular Biology (237 citations), Pharmacology (28 citations) and Computational Mathematics (1 citation). Seongok Ryu has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Woo Youn Kim, Jaechang Lim, Yo Joong Choe, Jiyeon Ham, Yongchan Kwon, Sunghwan Choi, Jaewook Kim, Grace Lee, Kyung Hoon Lee and Soojung Yang. Their work appears in journals such as Journal of Chemical Information and Modeling, International Journal of Quantum Chemistry, The Journal of Chemical Physics, Journal of Chemical Theory and Computation and Physical Chemistry Chemical Physics.
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.