Keunwan Park
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Materials Chemistry
- Pharmacology
- Co-authors
- Dongsup KimDavid BakerPo‐Ssu HuangFabio ParmeggianiHae‐Kap CheongHak‐Sung KimPrasannavenkatesh DuraiJoong‐jae Lee
- Topics
- Computational Drug Discovery Methods (15 papers)Protein Structure and Dynamics (11 papers)Alzheimer's disease research and treatments (10 papers)
- Cited by
- Computational Theory and MathematicsMolecular BiologyRadiology, Nuclear Medicine and Imaging
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchAngewandte Chemie International Edition
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Keunwan Park
63 papers receiving 999 citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 688
- Computational Theory and Mathematics 158
- Radiology, Nuclear Medicine and Imaging 140
- Materials Chemistry 94
- Pharmacology 82
Countries citing papers authored by Keunwan Park
This map shows the geographic impact of Keunwan Park'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 Keunwan Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keunwan Park more than expected).
Fields of papers citing papers by Keunwan Park
This network shows the impact of papers produced by Keunwan Park. 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 Keunwan Park. The network helps show where Keunwan Park may publish in the future.
Co-authorship network of co-authors of Keunwan Park
This figure shows the co-authorship network connecting the top 25 collaborators of Keunwan Park. A scholar is included among the top collaborators of Keunwan Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keunwan Park. Keunwan Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | 57 | |
| 14 | 29 | |
| 15 | 78 | |
| 16 | 19 | |
| 17 | 4 | |
| 18 | 13 | |
| 19 | 44 | |
| 20 | 32 |
About Keunwan Park
Keunwan Park is a scholar working on Biological Psychiatry, Aging and Computational Theory and Mathematics, having authored 68 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Protein Structure and Dynamics (11 papers) and Alzheimer's disease research and treatments (10 papers). The work is most often cited by research in Computational Theory and Mathematics (158 citations), Molecular Biology (688 citations) and Radiology, Nuclear Medicine and Imaging (140 citations). Keunwan Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Dongsup Kim, David Baker, Po‐Ssu Huang, Fabio Parmeggiani, Hae‐Kap Cheong, Hak‐Sung Kim, Prasannavenkatesh Durai, Joong‐jae Lee, Byung‐Chul Lee and Soyoung Lee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Angewandte Chemie International Edition.
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.