Robert Abel
Impact in
- Computational Theory and Mathematics top 0.02%
- Computational Drug Discovery Methods
- Molecular Biology top 0.5%
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
Papers in
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- Computational Drug Discovery Methods 49
-
- Protein Structure and Dynamics 11
- Phosphodiesterase function and regulation 1
- Co-authors
- Adrián E. Roitberg (1 shared paper)Asim Okur (1 shared paper)Carlos L. Simmerling (1 shared paper)Viktor Horn̆ák (1 shared paper)Richard A. Friesner (32 shared papers)Lingle Wang (38 shared papers)Edward D. Harder (12 shared papers)Markus K. Dahlgren (5 shared papers)
- Journals
- Journal of Chemical Theory and Computation (22 papers)Journal of Chemical Information and Modeling (14 papers)Proteins Structure Function and Bioinformatics (6 papers)Journal of Molecular Biology (5 papers)Journal of Medicinal Chemistry (5 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Robert Abel
78 papers receiving 18.7k citations
Robert Abel's Hit Papers
Peers
Comparison fields: 5 of 123
- Computational Theory and Mathematics 5.8k
- Molecular Biology 4.3k
- Physical and Theoretical Chemistry 195
- Pharmacology 304
- Organic Chemistry 564
Countries citing papers authored by Robert Abel
This map shows the geographic impact of Robert Abel'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 Abel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Abel more than expected).
Fields of papers citing papers by Robert Abel
This network shows the impact of papers produced by Robert Abel. 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 Abel. The network helps show where Robert Abel may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Abel, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparison of multiple Amber force fields and development of improved protein backbone parameters Hit paper breakdown → | 2006 | 6163 |
| 2 | OPLS3: A Force Field Providing Broad Coverage of Drug-like Small Molecules and Proteins Hit paper breakdown → | 2015 | 2615 |
| 3 | OPLS4: Improving Force Field Accuracy on Challenging Regimes of Chemical Space Hit paper breakdown → | 2021 | 1396 |
| 4 | Accurate and Reliable Prediction of Relative Ligand Binding Potency in Prospective Drug Discovery by Way of a Modern Free-Energy Calculation Protocol and Force Field Hit paper breakdown → | 2015 | 1052 |
| 5 | The VSGB 2.0 model: A next generation energy model for high resolution protein structure modeling Hit paper breakdown → | 2011 | 972 |
| 6 | OPLS3e: Extending Force Field Coverage for Drug-Like Small Molecules Hit paper breakdown → | 2019 | 966 |
| 7 | Motifs for molecular recognition exploiting hydrophobic enclosure in protein–ligand binding Hit paper breakdown → | 2007 | 601 |
| 8 | Role of the Active-Site Solvent in the Thermodynamics of Factor Xa Ligand Binding Hit paper breakdown → | 2008 | 588 |
| 9 | Docking Covalent Inhibitors: A Parameter Free Approach To Pose Prediction and Scoring Hit paper breakdown → | 2014 | 391 |
| 10 | Efficient Exploration of Chemical Space with Docking and Deep Learning Hit paper breakdown → | 2021 | 297 |
| 11 | Advancing Drug Discovery through Enhanced Free Energy Calculations Hit paper breakdown → | 2017 | 269 |
| 12 | 2016 | 200 | |
| 13 | 2013 | 183 | |
| 14 | 2021 | 144 | |
| 15 | 2013 | 127 | |
| 16 | 2015 | 124 | |
| 17 | 2016 | 121 | |
| 18 | 2011 | 118 | |
| 19 | The maximal and current accuracy of rigorous protein-ligand binding free energy calculations Hit paper breakdown → | 2023 | 118 |
| 20 | 2016 | 117 |
About Robert Abel
Robert Abel is a scholar working on Computational Theory and Mathematics, Molecular Biology, Physical and Theoretical Chemistry, Genetics and Materials Chemistry, having authored 78 papers that have together received 19.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (49 papers), Protein Structure and Dynamics (11 papers), Chronic Lymphocytic Leukemia Research (1 paper), Machine Learning in Materials Science (1 paper), Handwritten Text Recognition Techniques (1 paper), Phosphodiesterase function and regulation (1 paper), Advanced Physical and Chemical Molecular Interactions (1 paper) and Crystallization and Solubility Studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (5.8k citations), Molecular Biology (4.3k citations), Physical and Theoretical Chemistry (195 citations), Pharmacology (304 citations) and Organic Chemistry (564 citations). Robert Abel has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Adrián E. Roitberg, Asim Okur, Carlos L. Simmerling, Viktor Horn̆ák, Richard A. Friesner, Lingle Wang, Edward D. Harder, Markus K. Dahlgren, Chuanjie Wu and B. J. Berne. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Chemical Information and Modeling, Proteins Structure Function and Bioinformatics, Journal of Molecular Biology and Journal of Medicinal Chemistry.
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.