Nicholas E. Charron
Impact in
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- Advanced Physical and Chemical Molecular Interactions
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
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- Protein Structure and Dynamics 7
- Lipid Membrane Structure and Behavior 3
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- Advanced Physical and Chemical Molecular Interactions 2
- Co-authors
- Cecilia Clementi (7 shared papers)Frank Noé (7 shared papers)Jiang Wang (3 shared papers)Simon Olsson (3 shared papers)Adrià Pérez (3 shared papers)Gianni De Fabritiis (3 shared papers)Christoph Wehmeyer (1 shared paper)Brooke E. Husic (4 shared papers)
- Journals
- Biophysical Journal (2 papers)The Journal of Physical Chemistry Letters (1 paper)Nature Communications (1 paper)ACS Central Science (1 paper)The Journal of Chemical Physics (1 paper)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Nicholas E. Charron
13 papers receiving 1k citations
Nicholas E. Charron's Hit Papers
Peers
Comparison fields: 5 of 72
- Physical and Theoretical Chemistry 207
- Microbiology 61
- Materials Chemistry 355
- Molecular Biology 419
- Statistical and Nonlinear Physics 67
Countries citing papers authored by Nicholas E. Charron
This map shows the geographic impact of Nicholas E. Charron'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 Nicholas E. Charron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas E. Charron more than expected).
Fields of papers citing papers by Nicholas E. Charron
This network shows the impact of papers produced by Nicholas E. Charron. 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 Nicholas E. Charron. The network helps show where Nicholas E. Charron may publish in the future.
Co-authors
The 22 scholars most cited alongside Nicholas E. Charron, 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 | Machine Learning of Coarse-Grained Molecular Dynamics Force Fields Hit paper breakdown → | 2019 | 418 |
| 2 | 2020 | 132 | |
| 3 | 2023 | 81 | |
| 4 | 2023 | 63 | |
| 5 | 2022 | 61 | |
| 6 | 2017 | 55 | |
| 7 | 2021 | 54 | |
| 8 | 2018 | 36 | |
| 9 | 2016 | 33 | |
| 10 | 2025 | 32 | |
| 11 | 2023 | 28 | |
| 12 | 2022 | 22 | |
| 13 | 2019 | 1 | |
| 14 | 2025 | 0 |
About Nicholas E. Charron
Nicholas E. Charron is a scholar working on Molecular Biology, Physical and Theoretical Chemistry, Statistical and Nonlinear Physics, Materials Chemistry and Microbiology, having authored 14 papers that have together received 1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Lipid Membrane Structure and Behavior (3 papers), Machine Learning in Materials Science (3 papers), Advanced Chemical Physics Studies (2 papers), Advanced Physical and Chemical Molecular Interactions (2 papers), Model Reduction and Neural Networks (2 papers), Antimicrobial Peptides and Activities (1 paper) and nanoparticles nucleation surface interactions (1 paper). The work is most often cited by research in Physical and Theoretical Chemistry (207 citations), Microbiology (61 citations), Materials Chemistry (355 citations), Molecular Biology (419 citations) and Statistical and Nonlinear Physics (67 citations). Nicholas E. Charron has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Cecilia Clementi, Frank Noé, Jiang Wang, Simon Olsson, Adrià Pérez, Gianni De Fabritiis, Christoph Wehmeyer, Brooke E. Husic, Huey Wen Huang and Yaoyi Chen. Their work appears in journals such as Biophysical Journal, The Journal of Physical Chemistry Letters, Nature Communications, ACS Central Science and The Journal of Chemical Physics.
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.