Chris Chipot
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Mitochondrial Function and Pathology
Papers in
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- Protein Structure and Dynamics 6
- ATP Synthase and ATPases Research 3
- Mitochondrial Function and Pathology 2
- RNA and protein synthesis mechanisms 2
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Wendy D. Cornell (1 shared paper)Andrew Pohorille (1 shared paper)Peter A. Kollman (1 shared paper)R. W. Dixon (1 shared paper)Thomas Fox (1 shared paper)François Dehez (4 shared papers)Benoı̂t Roux (2 shared papers)Ànna Pavlova (3 shared papers)
- Journals
- The Journal of Physical Chemistry Letters (2 papers)ACS Chemical Biology (1 paper)Chemical Science (1 paper)Journal of Chemical Theory and Computation (1 paper)Theoretical Chemistry Accounts (1 paper)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Chris Chipot
11 papers receiving 470 citations
Peers
Comparison fields: 5 of 83
- Computational Theory and Mathematics 97
- Molecular Biology 370
- Spectroscopy 67
- Infectious Diseases 59
- Clinical Biochemistry 20
Countries citing papers authored by Chris Chipot
This map shows the geographic impact of Chris Chipot'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 Chris Chipot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Chipot more than expected).
Fields of papers citing papers by Chris Chipot
This network shows the impact of papers produced by Chris Chipot. 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 Chris Chipot. The network helps show where Chris Chipot may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Chipot, 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 | 1997 | 223 | |
| 2 | 2020 | 49 | |
| 3 | 2012 | 48 | |
| 4 | 2021 | 40 | |
| 5 | 2019 | 37 | |
| 6 | 2021 | 28 | |
| 7 | 2018 | 17 | |
| 8 | 2019 | 12 | |
| 9 | 2012 | 11 | |
| 10 | 2019 | 7 | |
| 11 | 2018 | 2 |
About Chris Chipot
Chris Chipot is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Epidemiology, having authored 11 papers that have together received 474 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (3 papers), ATP Synthase and ATPases Research (3 papers), Mitochondrial Function and Pathology (2 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (97 citations), Molecular Biology (370 citations), Spectroscopy (67 citations), Infectious Diseases (59 citations) and Clinical Biochemistry (20 citations). Chris Chipot has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Wendy D. Cornell, Andrew Pohorille, Peter A. Kollman, R. W. Dixon, Thomas Fox, François Dehez, Benoı̂t Roux, Ànna Pavlova, James C. Gumbart and Diane L. Lynch. Their work appears in journals such as The Journal of Physical Chemistry Letters, ACS Chemical Biology, Chemical Science, Journal of Chemical Theory and Computation and Theoretical Chemistry Accounts.
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.