Gye Won Han
Impact in
- Cellular and Molecular Neuroscience top 0.2%
- Neuropeptides and Animal Physiology
- Physiology top 0.2%
- Adenosine and Purinergic Signaling
Papers in
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- Adenosine and Purinergic Signaling 8
-
- Neuropeptides and Animal Physiology 19
- Co-authors
- Raymond C. StevensVadim CherezovVsevolod KatritchHuixian WuWei LiuFei XuQiang ZhaoMichael A. Hanson
- Journals
- Nature (12 papers)Science (10 papers)Nature Communications (6 papers)Structure (6 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Gye Won Han
83 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cellular and Molecular Neuroscience 4.6k
- Physiology 813
- Molecular Biology 9.0k
- Computational Theory and Mathematics 1.1k
- Radiology, Nuclear Medicine and Imaging 1.5k
Countries citing papers authored by Gye Won Han
This map shows the geographic impact of Gye Won Han'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 Gye Won Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gye Won Han more than expected).
Fields of papers citing papers by Gye Won Han
This network shows the impact of papers produced by Gye Won Han. 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 Gye Won Han. The network helps show where Gye Won Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Gye Won Han, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 42 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 103 | |
| 10 | 2020 | 13 | |
| 11 | 2020 | 85 | |
| 12 | 2019 | 86 | |
| 13 | 2019 | 34 | |
| 14 | Structure of the CCR5 Chemokine Receptor–HIV Entry Inhibitor Maraviroc Complex Hit paper breakdown → | 2013 | 552 |
| 15 | Structural Features for Functional Selectivity at Serotonin Receptors Hit paper breakdown → | 2013 | 543 |
| 16 | Crystal Structure of a Lipid G Protein–Coupled Receptor Hit paper breakdown → | 2012 | 544 |
| 17 | Structural Basis for Allosteric Regulation of GPCRs by Sodium Ions Hit paper breakdown → | 2012 | 777 |
| 18 | 2012 | 1 | |
| 19 | Structure of an Agonist-Bound Human A 2A Adenosine Receptor Hit paper breakdown → | 2011 | 679 |
| 20 | Structure of the Human Dopamine D3 Receptor in Complex with a D2/D3 Selective Antagonist Hit paper breakdown → | 2010 | 956 |
About Gye Won Han
Gye Won Han is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Structural Biology and Virology, having authored 90 papers that have together received 10.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (33 papers), Neuropeptides and Animal Physiology (19 papers), RNA and protein synthesis mechanisms (9 papers), Enzyme Structure and Function (9 papers), Chemical Synthesis and Analysis (9 papers), Adenosine and Purinergic Signaling (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.6k citations), Physiology (813 citations), Molecular Biology (9.0k citations), Computational Theory and Mathematics (1.1k citations) and Radiology, Nuclear Medicine and Imaging (1.5k citations). Gye Won Han has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Raymond C. Stevens, Vadim Cherezov, Vsevolod Katritch, Huixian Wu, Wei Liu, Fei Xu, Qiang Zhao, Michael A. Hanson, Zhan‐Guo Gao and Kenneth A. Jacobson. Their work appears in journals such as Nature, Science, Nature Communications, Structure and Proceedings of the National Academy of Sciences.
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.