Wallace Chan
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Computational Drug Discovery Methods 11
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- Receptor Mechanisms and Signaling 6
- Protein Structure and Dynamics 2
- Nicotinic Acetylcholine Receptors Study 2
- Co-authors
- Yang Zhang (4 shared papers)Karl Wah Keung Tsim (6 shared papers)Junguk Hur (2 shared papers)Roy C.Y. Choi (6 shared papers)Vicky P. Chen (6 shared papers)Ka Wing Leung (5 shared papers)Arzucan Özgür (1 shared paper)Hongjiu Zhang (1 shared paper)
- Journals
- Bioinformatics (3 papers)Journal of Biological Chemistry (3 papers)Journal of Chemical Information and Modeling (2 papers)Chemico-Biological Interactions (1 paper)Journal of Computational Chemistry (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Wallace Chan
17 papers receiving 391 citations
Peers
Comparison fields: 5 of 58
- Computational Theory and Mathematics 211
- Pharmacology 95
- Molecular Biology 263
- Cellular and Molecular Neuroscience 51
- Complementary and alternative medicine 12
Countries citing papers authored by Wallace Chan
This map shows the geographic impact of Wallace 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 Wallace Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wallace Chan more than expected).
Fields of papers citing papers by Wallace Chan
This network shows the impact of papers produced by Wallace 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 Wallace Chan. The network helps show where Wallace Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wallace 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 | 2015 | 109 | |
| 2 | 2010 | 47 | |
| 3 | 2011 | 44 | |
| 4 | 2018 | 41 | |
| 5 | 2011 | 23 | |
| 6 | 2020 | 21 | |
| 7 | 2010 | 20 | |
| 8 | 2022 | 19 | |
| 9 | 2022 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2012 | 6 | |
| 16 | 2010 | 3 | |
| 17 | 2020 | 2 |
About Wallace Chan
Wallace Chan is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience and Physiology, having authored 17 papers that have together received 398 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Receptor Mechanisms and Signaling (6 papers), Alzheimer's disease research and treatments (3 papers), Protein Structure and Dynamics (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Computational Theory and Mathematics (211 citations), Pharmacology (95 citations), Molecular Biology (263 citations), Cellular and Molecular Neuroscience (51 citations) and Complementary and alternative medicine (12 citations). Wallace Chan has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Yang Zhang, Karl Wah Keung Tsim, Junguk Hur, Roy C.Y. Choi, Vicky P. Chen, Ka Wing Leung, Arzucan Özgür, Hongjiu Zhang, Jeffrey Brender and Jianyi Yang. Their work appears in journals such as Bioinformatics, Journal of Biological Chemistry, Journal of Chemical Information and Modeling, Chemico-Biological Interactions and Journal of Computational Chemistry.
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.