Matthew P. Repasky
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
- Cancer therapeutics and mechanisms
- Chemical Synthesis and Analysis
Papers in
-
- Computational Drug Discovery Methods 11
-
- Protein Structure and Dynamics 7
- Bioinformatics and Genomic Networks 2
- Co-authors
- Richard A. Friesner (6 shared papers)Robert B. Murphy (5 shared papers)Daniel T. Mainz (3 shared papers)Thomas A. Halgren (3 shared papers)Jeremy R. Greenwood (4 shared papers)Paul C. Sanschagrin (2 shared papers)Leah L. Frye (1 shared paper)Jay L. Banks (3 shared papers)
- Journals
- Journal of Computational Chemistry (5 papers)Journal of Medicinal Chemistry (3 papers)Journal of Chemical Theory and Computation (2 papers)Journal of Computer-Aided Molecular Design (2 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Matthew P. Repasky
21 papers receiving 16.2k citations
Matthew P. Repasky's Hit Papers
Peers
Comparison fields: 5 of 161
- Computational Theory and Mathematics 5.4k
- Molecular Biology 9.6k
- Toxicology 424
- Organic Chemistry 3.6k
- Pharmacology 1.8k
Countries citing papers authored by Matthew P. Repasky
This map shows the geographic impact of Matthew P. Repasky'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 Matthew P. Repasky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew P. Repasky more than expected).
Fields of papers citing papers by Matthew P. Repasky
This network shows the impact of papers produced by Matthew P. Repasky. 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 Matthew P. Repasky. The network helps show where Matthew P. Repasky may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew P. Repasky, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Glide: A New Approach for Rapid, Accurate Docking and Scoring. 1. Method and Assessment of Docking Accuracy Hit paper breakdown → | 2004 | 7949 |
| 2 | Extra Precision Glide: Docking and Scoring Incorporating a Model of Hydrophobic Enclosure for Protein−Ligand Complexes Hit paper breakdown → | 2006 | 5610 |
| 3 | Integrated Modeling Program, Applied Chemical Theory (IMPACT) Hit paper breakdown → | 2005 | 1232 |
| 4 | 2002 | 262 | |
| 5 | Efficient Exploration of Chemical Space with Docking and Deep Learning Hit paper breakdown → | 2021 | 258 |
| 6 | 2007 | 186 | |
| 7 | Epik: p K a and Protonation State Prediction through Machine Learning Hit paper breakdown → | 2023 | 166 |
| 8 | 2012 | 136 | |
| 9 | 2016 | 128 | |
| 10 | 2003 | 71 | |
| 11 | 2023 | 71 | |
| 12 | 2016 | 69 | |
| 13 | 2008 | 62 | |
| 14 | 2003 | 59 | |
| 15 | 2003 | 45 | |
| 16 | 2003 | 43 | |
| 17 | 2002 | 28 | |
| 18 | 2002 | 21 | |
| 19 | 1998 | 14 | |
| 20 | 1999 | 7 |
About Matthew P. Repasky
Matthew P. Repasky is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry, having authored 21 papers that have together received 16.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (7 papers), Advanced Chemical Physics Studies (5 papers), Click Chemistry and Applications (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Bioinformatics and Genomic Networks (2 papers), Crystallography and molecular interactions (2 papers) and Molecular Junctions and Nanostructures (2 papers). The work is most often cited by research in Computational Theory and Mathematics (5.4k citations), Molecular Biology (9.6k citations), Toxicology (424 citations), Organic Chemistry (3.6k citations) and Pharmacology (1.8k citations). Matthew P. Repasky has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Richard A. Friesner, Robert B. Murphy, Daniel T. Mainz, Thomas A. Halgren, Jeremy R. Greenwood, Paul C. Sanschagrin, Leah L. Frye, Jay L. Banks, Mee Shelley and Jasna Klicić. Their work appears in journals such as Journal of Computational Chemistry, Journal of Medicinal Chemistry, Journal of Chemical Theory and Computation, Journal of Computer-Aided Molecular Design 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.