Ron O. Dror
Impact in
- Cellular and Molecular Neuroscience top 0.1%
- Neuropeptides and Animal Physiology
- Molecular Biology top 0.05%
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- RNA and protein synthesis mechanisms
Papers in
-
- Neuropeptides and Animal Physiology 37
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- Receptor Mechanisms and Signaling 62
- Protein Structure and Dynamics 37
- RNA and protein synthesis mechanisms 14
- Co-authors
- David Elliot Shaw (74 shared papers)Kresten Lindorff‐Larsen (11 shared papers)Stefano Piana (9 shared papers)Paul Maragakis (15 shared papers)Scott A. Hollingsworth (9 shared papers)John L. Klepeis (11 shared papers)Michael P. Eastwood (21 shared papers)Kim Palmö (1 shared paper)
- Journals
- Nature (21 papers)Cell (12 papers)Biophysical Journal (11 papers)Proceedings of the National Academy of Sciences (10 papers)Science (10 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Ron O. Dror
182 papers receiving 35.5k citations
Ron O. Dror's Hit Papers
Peers
Comparison fields: 5 of 199
- Cellular and Molecular Neuroscience 7.4k
- Molecular Biology 26.3k
- Computational Theory and Mathematics 4.4k
- Spectroscopy 3.5k
- Structural Biology 182
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-authors
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
Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Improved side‐chain torsion potentials for the Amber ff99SB protein force field Hit paper breakdown → | 2010 | 5030 |
| 2 | Molecular Dynamics Simulation for All Hit paper breakdown → | 2018 | 2194 |
| 3 | How Fast-Folding Proteins Fold Hit paper breakdown → | 2011 | 1597 |
| 4 | Atomic-Level Characterization of the Structural Dynamics of Proteins Hit paper breakdown → | 2010 | 1552 |
| 5 | Scalable Algorithms for Molecular Dynamics Simulations on Commodity Clusters Hit paper breakdown → | 2006 | 1301 |
| 6 | Biomolecular Simulation: A Computational Microscope for Molecular Biology Hit paper breakdown → | 2012 | 950 |
| 7 | Structural insights into µ-opioid receptor activation Hit paper breakdown → | 2015 | 759 |
| 8 | The Dynamic Process of β2-Adrenergic Receptor Activation Hit paper breakdown → | 2013 | 706 |
| 9 | Structure and dynamics of the M3 muscarinic acetylcholine receptor Hit paper breakdown → | 2012 | 697 |
| 10 | Structure and function of an irreversible agonist-β2 adrenoceptor complex Hit paper breakdown → | 2011 | 682 |
| 11 | Anton, a special-purpose machine for molecular dynamics simulation Hit paper breakdown → | 2008 | 668 |
| 12 | GPCR Dynamics: Structures in Motion Hit paper breakdown → | 2016 | 638 |
| 13 | Long-timescale molecular dynamics simulations of protein structure and function Hit paper breakdown → | 2009 | 635 |
| 14 | Pathway and mechanism of drug binding to G-protein-coupled receptors Hit paper breakdown → | 2011 | 631 |
| 15 | Systematic Validation of Protein Force Fields against Experimental Data Hit paper breakdown → | 2012 | 569 |
| 16 | Structure of the µ-opioid receptor–Gi protein complex Hit paper breakdown → | 2018 | 548 |
| 17 | Activation mechanism of the β 2 -adrenergic receptor Hit paper breakdown → | 2011 | 524 |
| 18 | How Does a Drug Molecule Find Its Target Binding Site? Hit paper breakdown → | 2011 | 518 |
| 19 | 2012 | 499 | |
| 20 | Anton 2: Raising the Bar for Performance and Programmability in a Special-Purpose Molecular Dynamics Supercomputer Hit paper breakdown → | 2014 | 498 |
About Ron O. Dror
Ron O. Dror is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Spectroscopy, Hardware and Architecture and Computational Theory and Mathematics, having authored 187 papers that have together received 36.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (62 papers), Neuropeptides and Animal Physiology (37 papers), Protein Structure and Dynamics (37 papers), Mass Spectrometry Techniques and Applications (28 papers), Parallel Computing and Optimization Techniques (22 papers), Computational Drug Discovery Methods (18 papers), RNA and protein synthesis mechanisms (14 papers) and Enzyme Structure and Function (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (7.4k citations), Molecular Biology (26.3k citations), Computational Theory and Mathematics (4.4k citations), Spectroscopy (3.5k citations) and Structural Biology (182 citations). Ron O. Dror has collaborated with scholars based in United States, Japan and China. Frequent co-authors include David Elliot Shaw, Kresten Lindorff‐Larsen, Stefano Piana, Paul Maragakis, Scott A. Hollingsworth, John L. Klepeis, Michael P. Eastwood, Kim Palmö, Yibing Shan and Huafeng Xu. Their work appears in journals such as Nature, Cell, Biophysical Journal, Proceedings of the National Academy of Sciences and Science.
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.