Peter Eastman
Impact in
- Molecular Biology top 1%
- Protein Structure and Dynamics
- Lipid Membrane Structure and Behavior
- RNA and protein synthesis mechanisms
- Receptor Mechanisms and Signaling
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
- Spectroscopy 11
- Advanced NMR Techniques and Applications 6
- Mass Spectrometry Techniques and Applications 5
-
- Protein Structure and Dynamics 21
- Co-authors
- Vijay S. PandeJason SwailsJohn D. ChoderaLee‐Ping WangKyle A. BeauchampJustin A. LemkulAlexander D. MacKerellJeffery B. Klauda
- Journals
- Journal of Chemical Theory and Computation (7 papers)Journal of Computational Chemistry (4 papers)Proteins Structure Function and Bioinformatics (2 papers)The Journal of Chemical Physics (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Peter Eastman
29 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Biology 4.8k
- Computational Theory and Mathematics 951
- Spectroscopy 663
- Atomic and Molecular Physics, and Optics 1.2k
- Materials Chemistry 1.5k
Countries citing papers authored by Peter Eastman
This map shows the geographic impact of Peter Eastman'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 Peter Eastman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Eastman more than expected).
Fields of papers citing papers by Peter Eastman
This network shows the impact of papers produced by Peter Eastman. 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 Peter Eastman. The network helps show where Peter Eastman may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Eastman, 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 | 10 | |
| 2 | 2024 | 18 | |
| 3 | 2023 | 49 | |
| 4 | SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials Hit paper breakdown → | 2023 | 104 |
| 5 | 2018 | 121 | |
| 6 | 2018 | 28 | |
| 7 | OpenMM 7: Rapid development of high performance algorithms for molecular dynamics Hit paper breakdown → | 2017 | 1736 |
| 8 | 2017 | 193 | |
| 9 | 2014 | 4 | |
| 10 | 2013 | 276 | |
| 11 | OpenMM 4: A Reusable, Extensible, Hardware Independent Library for High Performance Molecular Simulation Hit paper breakdown → | 2012 | 540 |
| 12 | 2010 | 52 | |
| 13 | 2010 | 192 | |
| 14 | 2010 | 51 | |
| 15 | 2010 | 73 | |
| 16 | 2009 | 424 | |
| 17 | 2009 | 106 | |
| 18 | 2001 | 65 | |
| 19 | 2000 | 26 | |
| 20 | 1999 | 48 |
About Peter Eastman
Peter Eastman is a scholar working on Spectroscopy, Molecular Biology, Computational Theory and Mathematics, Materials Chemistry and Hardware and Architecture, having authored 29 papers that have together received 7.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (21 papers), Machine Learning in Materials Science (8 papers), Advanced NMR Techniques and Applications (6 papers), Enzyme Structure and Function (6 papers), Computational Drug Discovery Methods (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Spectroscopy and Quantum Chemical Studies (4 papers) and Advanced Chemical Physics Studies (3 papers). The work is most often cited by research in Molecular Biology (4.8k citations), Computational Theory and Mathematics (951 citations), Spectroscopy (663 citations), Atomic and Molecular Physics, and Optics (1.2k citations) and Materials Chemistry (1.5k citations). Peter Eastman has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Vijay S. Pande, Jason Swails, John D. Chodera, Lee‐Ping Wang, Kyle A. Beauchamp, Justin A. Lemkul, Alexander D. MacKerell, Jeffery B. Klauda, Jong Cheol Jeong and Sunhwan Jo. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Computational Chemistry, Proteins Structure Function and Bioinformatics, The Journal of Chemical Physics and PLoS Computational Biology.
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.