John D. Chodera
Impact in
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
- Molecular Biology top 0.2%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
Papers in
-
- Computational Drug Discovery Methods 36
- Co-authors
- Michael R. ShirtsDavid L. MobleyVijay S. PandeKen A. DillFrank NoéWilliam C. SwopePeter EastmanLee‐Ping Wang
- Journals
- Journal of Chemical Theory and Computation (17 papers)Journal of Computer-Aided Molecular Design (12 papers)The Journal of Physical Chemistry B (10 papers)The Journal of Chemical Physics (9 papers)Journal of Chemical Information and Modeling (7 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
John D. Chodera
121 papers receiving 15.0k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Computational Theory and Mathematics 2.9k
- Molecular Biology 10.5k
- Spectroscopy 2.0k
- Atomic and Molecular Physics, and Optics 3.6k
- Physical and Theoretical Chemistry 1.0k
Countries citing papers authored by John D. Chodera
This map shows the geographic impact of John D. Chodera'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 John D. Chodera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Chodera more than expected).
Fields of papers citing papers by John D. Chodera
This network shows the impact of papers produced by John D. Chodera. 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 John D. Chodera. The network helps show where John D. Chodera may publish in the future.
Co-authors
The 25 scholars most cited alongside John D. Chodera, 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 | 6 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 19 | |
| 4 | 2024 | 18 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 49 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 40 | |
| 10 | 2021 | 40 | |
| 11 | 2021 | 45 | |
| 12 | 2020 | 138 | |
| 13 | 2020 | 50 | |
| 14 | 2019 | 42 | |
| 15 | 2018 | 26 | |
| 16 | 2018 | 79 | |
| 17 | 2018 | 64 | |
| 18 | 2018 | 39 | |
| 19 | 2016 | 1 | |
| 20 | 2012 | 75 |
About John D. Chodera
John D. Chodera is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry, Molecular Biology, Spectroscopy and Atomic and Molecular Physics, and Optics, having authored 125 papers that have together received 15.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (67 papers), Computational Drug Discovery Methods (36 papers), Spectroscopy and Quantum Chemical Studies (22 papers), Machine Learning in Materials Science (20 papers), Enzyme Structure and Function (16 papers), Mass Spectrometry Techniques and Applications (13 papers), Advanced Thermodynamics and Statistical Mechanics (8 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Computational Theory and Mathematics (2.9k citations), Molecular Biology (10.5k citations), Spectroscopy (2.0k citations), Atomic and Molecular Physics, and Optics (3.6k citations) and Physical and Theoretical Chemistry (1.0k citations). John D. Chodera has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Michael R. Shirts, David L. Mobley, Vijay S. Pande, Ken A. Dill, Frank Noé, William C. Swope, Peter Eastman, Lee‐Ping Wang, Jed W. Pitera and Kyle A. Beauchamp. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Computer-Aided Molecular Design, The Journal of Physical Chemistry B, The Journal of Chemical Physics and Journal of Chemical Information and Modeling.
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.