Ron O. Dror
- Cellular and Molecular Neuroscience top 0.1%
- Neuropeptides and Animal Physiology 38
- Molecular Biology top 0.05%
- Receptor Mechanisms and Signaling 59
- Protein Structure and Dynamics 34
- RNA and protein synthesis mechanisms 13
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods 21
- Spectroscopy top 0.1%
- Mass Spectrometry Techniques and Applications 24
- Structural Biology top 1%
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- Parallel Computing and Optimization Techniques 20
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- Enzyme Structure and Function 13
- Co-authors
- David E. ShawKresten Lindorff‐LarsenStefano PianaJohn L. KlepeisPaul MaragakisScott A. HollingsworthMichael P. EastwoodYibing Shan
- Partner nations
- United StatesJapanGermany
In The Last Decade
Ron O. Dror
169 papers receiving 31.4k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Cellular and Molecular Neuroscience 6.4k
- Molecular Biology 23.8k
- Computational Theory and Mathematics 4.3k
- Spectroscopy 3.0k
- Structural Biology 163
Countries citing papers authored by Ron O. Dror
This map shows the geographic impact of Ron O. Dror'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 Ron O. Dror with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ron O. Dror more than expected).
Fields of papers citing papers by Ron O. Dror
This network shows the impact of papers produced by Ron O. Dror. 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 Ron O. Dror. The network helps show where Ron O. Dror may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ron O. Dror, 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 | 4 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 29 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 29 | |
| 9 | 2022 | 72 | |
| 10 | Geometric deep learning of RNA structurebreakdown → | 2021 | 235 |
| 11 | 2021 | 60 | |
| 12 | 2021 | 92 | |
| 13 | Learning from Protein Structure with Geometric Vector Perceptrons | 2021 | 1 |
| 14 | 2020 | 167 | |
| 15 | 2018 | 22 | |
| 16 | 2015 | 216 | |
| 17 | Pathway and mechanism of drug binding to G-protein-coupled receptorsbreakdown → | 2011 | 594 |
| 18 | 2010 | 18 | |
| 19 | 2008 | 216 | |
| 20 | 2007 | 124 |
About Ron O. Dror
Ron O. Dror is a scholar working on Hardware and Architecture, Cellular and Molecular Neuroscience, Spectroscopy, Computational Theory and Mathematics and Molecular Biology, having authored 172 papers that have together received 31.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (59 papers), Neuropeptides and Animal Physiology (38 papers), Protein Structure and Dynamics (34 papers), Mass Spectrometry Techniques and Applications (24 papers), Computational Drug Discovery Methods (21 papers), Parallel Computing and Optimization Techniques (20 papers), RNA and protein synthesis mechanisms (13 papers) and Enzyme Structure and Function (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.4k citations), Molecular Biology (23.8k citations), Computational Theory and Mathematics (4.3k citations), Spectroscopy (3.0k citations) and Structural Biology (163 citations). Ron O. Dror has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include David E. Shaw, Kresten Lindorff‐Larsen, Stefano Piana, John L. Klepeis, Paul Maragakis, Scott A. Hollingsworth, Michael P. Eastwood, Yibing Shan, Kim Palmö and Huafeng Xu. Their work appears in journals such as Nature, Biophysical Journal, Science, Proceedings of the National Academy of Sciences and Cell.
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.