Robert A. Pearlstein
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Cardiology and Cardiovascular Medicine top 10%
- Organic Chemistry top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Ramy FaridRichard A. FriesnerTyler DayA. J. HopfingerRoy J. VazDavid RampeCallum J. DicksonViktor Horn̆ák
- Topics
- Computational Drug Discovery Methods (7 papers)Protein Structure and Dynamics (5 papers)Cardiac electrophysiology and arrhythmias (5 papers)
- Cited by
- Computational Theory and MathematicsMolecular BiologyCardiology and Cardiovascular Medicine
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Robert A. Pearlstein
35 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 991
- Computational Theory and Mathematics 382
- Cardiology and Cardiovascular Medicine 298
- Organic Chemistry 272
- Cellular and Molecular Neuroscience 152
Countries citing papers authored by Robert A. Pearlstein
This map shows the geographic impact of Robert A. Pearlstein'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 Robert A. Pearlstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert A. Pearlstein more than expected).
Fields of papers citing papers by Robert A. Pearlstein
This network shows the impact of papers produced by Robert A. Pearlstein. 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 Robert A. Pearlstein. The network helps show where Robert A. Pearlstein may publish in the future.
Co-authorship network of co-authors of Robert A. Pearlstein
This figure shows the co-authorship network connecting the top 25 collaborators of Robert A. Pearlstein. A scholar is included among the top collaborators of Robert A. Pearlstein 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 Robert A. Pearlstein. Robert A. Pearlstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 10 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 29 | |
| 6 | 49 | |
| 7 | 36 | |
| 8 | 58 | |
| 9 | 406 | |
| 10 | 132 | |
| 11 | 168 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 22 | |
| 16 | 24 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 56 |
About Robert A. Pearlstein
Robert A. Pearlstein is a scholar working on Physical and Theoretical Chemistry, Filtration and Separation and Developmental Biology, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Computational Theory and Mathematics (382 citations), Molecular Biology (991 citations) and Cardiology and Cardiovascular Medicine (298 citations). Robert A. Pearlstein has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Ramy Farid, Richard A. Friesner, Tyler Day, A. J. Hopfinger, Roy J. Vaz, David Rampe, Callum J. Dickson, Viktor Horn̆ák, José S. Duca and A. J. Hopfinger. Their work appears in journals such as Journal of the American Chemical Society, PLoS ONE and Brain Research.
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.