David E. Shaw
- Computational Theory and Mathematics top 0.01%
- Molecular Biology top 0.02%
- Protein Structure and Dynamics 50
- Receptor Mechanisms and Signaling 25
- RNA and protein synthesis mechanisms 19
- Cellular and Molecular Neuroscience top 0.2%
- Neuropeptides and Animal Physiology 17
- Spectroscopy top 0.1%
- Oncology top 0.5%
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- Enzyme Structure and Function 28
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- Parallel Computing and Optimization Techniques 23
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- Monoclonal and Polyclonal Antibodies Research 18
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- Advanced Data Storage Technologies 15
- Co-authors
- Ron O. DrorStefano PianaKresten Lindorff‐LarsenJohn L. KlepeisPaul MaragakisRichard A. FriesnerYibing ShanMichael P. Eastwood
- Journals
- Proceedings of the National Academy of Sciences (19 papers)Biophysical Journal (15 papers)Journal of Chemical Theory and Computation (8 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
David E. Shaw
273 papers receiving 42.8k citations
Hit Papers
Peers
Comparison fields: 5 of 214
- Computational Theory and Mathematics 7.8k
- Molecular Biology 29.5k
- Cellular and Molecular Neuroscience 4.4k
- Spectroscopy 3.3k
- Oncology 4.2k
Countries citing papers authored by David E. Shaw
This map shows the geographic impact of David E. Shaw'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 E. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Shaw more than expected).
Fields of papers citing papers by David E. Shaw
This network shows the impact of papers produced by David E. Shaw. 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 E. Shaw. The network helps show where David E. Shaw may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David E. Shaw, 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 | 2022 | 48 | |
| 2 | 2022 | 15 | |
| 3 | 2021 | 40 | |
| 4 | 2021 | 84 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 44 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 48 | |
| 9 | 2019 | 148 | |
| 10 | Developing a molecular dynamics force field for both folded and disordered protein statesbreakdown → | 2018 | 736 |
| 11 | 2018 | 202 | |
| 12 | 2017 | 82 | |
| 13 | 2015 | 216 | |
| 14 | Pathway and mechanism of drug binding to G-protein-coupled receptorsbreakdown → | 2011 | 594 |
| 15 | 2009 | 127 | |
| 16 | 2008 | 216 | |
| 17 | 2007 | 124 | |
| 18 | 2005 | 2 | |
| 19 | Clinical risk factors and periventricular leucomalacia. | 1988 | 0 |
| 20 | 1987 | 0 |
About David E. Shaw
David E. Shaw is a scholar working on Hardware and Architecture, Molecular Biology and Spectroscopy, having authored 282 papers that have together received 43.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (50 papers), Enzyme Structure and Function (28 papers), Receptor Mechanisms and Signaling (25 papers), Parallel Computing and Optimization Techniques (23 papers), RNA and protein synthesis mechanisms (19 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Neuropeptides and Animal Physiology (17 papers) and Advanced Data Storage Technologies (15 papers). The work is most often cited by research in Computational Theory and Mathematics (7.8k citations), Molecular Biology (29.5k citations) and Cellular and Molecular Neuroscience (4.4k citations). David E. Shaw has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ron O. Dror, Stefano Piana, Kresten Lindorff‐Larsen, John L. Klepeis, Paul Maragakis, Richard A. Friesner, Yibing Shan, Michael P. Eastwood, Huafeng Xu and Kim Palmö. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal, Journal of Chemical Theory and Computation, Science 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.