David A. Pearlman
- Molecular Biology top 1%
- Materials Chemistry top 5%
- Atomic and Molecular Physics, and Optics top 2%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 2%
- Co-authors
- Peter A. KollmanDavid M. FergusonGeorge SeibelWilson S. RossThomas E. CheathamJames W. CaldwellDavid A. CasePaul S. Charifson
- Topics
- Protein Structure and Dynamics (33 papers)DNA and Nucleic Acid Chemistry (18 papers)Spectroscopy and Quantum Chemical Studies (14 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
David A. Pearlman
61 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 4.5k
- Materials Chemistry 1.2k
- Atomic and Molecular Physics, and Optics 1.2k
- Computational Theory and Mathematics 934
- Organic Chemistry 723
Countries citing papers authored by David A. Pearlman
This map shows the geographic impact of David A. Pearlman'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 David A. Pearlman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Pearlman more than expected).
Fields of papers citing papers by David A. Pearlman
This network shows the impact of papers produced by David A. Pearlman. 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 David A. Pearlman. The network helps show where David A. Pearlman may publish in the future.
Co-authorship network of co-authors of David A. Pearlman
This figure shows the co-authorship network connecting the top 25 collaborators of David A. Pearlman. A scholar is included among the top collaborators of David A. Pearlman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David A. Pearlman. David A. Pearlman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 125 | |
| 2 | Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discoverybreakdown → | 247 |
| 3 | 12 | |
| 4 | 84 | |
| 5 | 177 | |
| 6 | 24 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 18 | |
| 10 | 2 | |
| 11 | 35 | |
| 12 | 28 | |
| 13 | 24 | |
| 14 | 33 | |
| 15 | 24 | |
| 16 | 39 | |
| 17 | 2 | |
| 18 | 21 | |
| 19 | 14 | |
| 20 | 33 |
About David A. Pearlman
David A. Pearlman is a scholar working on Physical and Theoretical Chemistry, Molecular Biology and Spectroscopy, having authored 62 papers that have together received 6.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (33 papers), DNA and Nucleic Acid Chemistry (18 papers) and Spectroscopy and Quantum Chemical Studies (14 papers). The work is most often cited by research in Molecular Biology (4.5k citations), Computational Theory and Mathematics (934 citations) and Physical and Theoretical Chemistry (452 citations). David A. Pearlman has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Peter A. Kollman, David M. Ferguson, George Seibel, Wilson S. Ross, Thomas E. Cheatham, James W. Caldwell, David A. Case, Paul S. Charifson, Christophe Chipot and Woody Sherman. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.