H. C. Stephen Chan
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- Computational Drug Discovery Methods 8
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- Crystallography and molecular interactions 10
- Health Informatics top 5%
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling 10
- Protein Structure and Dynamics 4
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- Neuropeptides and Animal Physiology 6
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- Crystallization and Solubility Studies 7
- X-ray Diffraction in Crystallography 4
- Enzyme Structure and Function 4
- Co-authors
- Shuguang YuanZhenquan HuHorst VogelThamani DahounHanbin ShanJohn KendrickFrank J. J. LeusenSławomir Filipek
- Journals
- Journal of the American Chemical Society (1 paper)Angewandte Chemie International Edition (2 papers)Nature Communications (1 paper)
- Partner nations
- ChinaUnited KingdomSwitzerland
In The Last Decade
H. C. Stephen Chan
33 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Computational Theory and Mathematics 508
- Physical and Theoretical Chemistry 251
- Health Informatics 34
- Molecular Biology 983
- Cellular and Molecular Neuroscience 173
Countries citing papers authored by H. C. Stephen Chan
This map shows the geographic impact of H. C. Stephen Chan'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 H. C. Stephen Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. C. Stephen Chan more than expected).
Fields of papers citing papers by H. C. Stephen Chan
This network shows the impact of papers produced by H. C. Stephen Chan. 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 H. C. Stephen Chan. The network helps show where H. C. Stephen Chan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside H. C. Stephen Chan, 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 | 2023 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 23 | |
| 5 | 2020 | 27 | |
| 6 | 2019 | 99 | |
| 7 | Advancing Drug Discovery via Artificial Intelligencebreakdown → | 2019 | 400 |
| 8 | Using | 2017 | 617 |
| 9 | 2017 | 27 | |
| 10 | 2017 | 56 | |
| 11 | 2017 | 13 | |
| 12 | 2016 | 40 | |
| 13 | 2016 | 3 | |
| 14 | 2016 | 51 | |
| 15 | 2014 | 38 | |
| 16 | 2011 | 50 | |
| 17 | 2011 | 15 | |
| 18 | 2011 | 15 | |
| 19 | 2011 | 9 | |
| 20 | 1966 | 32 |
About H. C. Stephen Chan
H. C. Stephen Chan is a scholar working on Physical and Theoretical Chemistry, Computational Theory and Mathematics and Physiology, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Crystallography and molecular interactions (10 papers), Receptor Mechanisms and Signaling (10 papers), Computational Drug Discovery Methods (8 papers), Crystallization and Solubility Studies (7 papers), Neuropeptides and Animal Physiology (6 papers), Protein Structure and Dynamics (4 papers), X-ray Diffraction in Crystallography (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Computational Theory and Mathematics (508 citations), Physical and Theoretical Chemistry (251 citations) and Health Informatics (34 citations). H. C. Stephen Chan has collaborated with scholars based in China, United Kingdom and Switzerland. Frequent co-authors include Shuguang Yuan, Zhenquan Hu, Horst Vogel, Thamani Dahoun, Hanbin Shan, John Kendrick, Frank J. J. Leusen, Sławomir Filipek, Marcus A. Neumann and Krzysztof Palczewski. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.
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.