Chun Wu
- Molecular Biology top 1%
- Protein Structure and Dynamics 32
- Receptor Mechanisms and Signaling 17
- DNA and Nucleic Acid Chemistry 16
- Advanced biosensing and bioanalysis techniques 11
- Physiology top 1%
- Alzheimer's disease research and treatments 20
- Spectroscopy top 1%
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 17
- Biomaterials top 2%
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- SARS-CoV-2 and COVID-19 Research 11
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- Enzyme Structure and Function 10
- Co-authors
- Yong DuanJoan–Emma SheaPiotr CieplakWei ZhangShibasish ChowdhuryGuoming XiongRay LuoTai‐Sung Lee
- Journals
- Journal of the American Chemical Society (9 papers)Journal of Chemical Information and Modeling (7 papers)Life Sciences (6 papers)
- Partner nations
- United StatesChinaIndonesia
In The Last Decade
Chun Wu
111 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 5.6k
- Physiology 1.5k
- Spectroscopy 873
- Computational Theory and Mathematics 788
- Biomaterials 650
Countries citing papers authored by Chun Wu
This map shows the geographic impact of Chun Wu'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 Chun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Wu more than expected).
Fields of papers citing papers by Chun Wu
This network shows the impact of papers produced by Chun Wu. 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 Chun Wu. The network helps show where Chun Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chun Wu, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 15 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 31 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 22 | |
| 16 | 2017 | 22 | |
| 17 | 2013 | 83 | |
| 18 | 2007 | 207 | |
| 19 | 2005 | 56 | |
| 20 | A point‐charge force field for molecular mechanics simulations of proteins based on condensed‐phase quantum mechanical calculationsbreakdown → | 2003 | 3867 |
About Chun Wu
Chun Wu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Catalysis, having authored 114 papers that have together received 8.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (32 papers), Alzheimer's disease research and treatments (20 papers), Computational Drug Discovery Methods (17 papers), Receptor Mechanisms and Signaling (17 papers), DNA and Nucleic Acid Chemistry (16 papers), Advanced biosensing and bioanalysis techniques (11 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and Enzyme Structure and Function (10 papers). The work is most often cited by research in Molecular Biology (5.6k citations), Physiology (1.5k citations) and Spectroscopy (873 citations). Chun Wu has collaborated with scholars based in United States, China and Indonesia. Frequent co-authors include Yong Duan, Joan–Emma Shea, Piotr Cieplak, Wei Zhang, Shibasish Chowdhury, Guoming Xiong, Ray Luo, Tai‐Sung Lee, Rong Yang and Peter A. Kollman. Their work appears in journals such as Journal of the American Chemical Society, Journal of Chemical Information and Modeling, Life Sciences, Biophysical Journal and Journal of Molecular Graphics and Modelling.
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.