Jacob D. Durrant
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Molecular Biology top 2%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Receptor Mechanisms and Signaling
- Bioinformatics and Genomic Networks
Papers in
-
- Protein Structure and Dynamics 29
- RNA and protein synthesis mechanisms 12
- Receptor Mechanisms and Signaling 8
- Biochemical and Molecular Research 7
- Genomics and Phylogenetic Studies 5
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- Computational Drug Discovery Methods 35
- Co-authors
- J. Andrew McCammon (26 shared papers)Rommie E. Amaro (17 shared papers)Lane Votapka (3 shared papers)César Augusto F. de Oliveira (3 shared papers)Victoria A. Feher (2 shared papers)Jesper Givskov Sørensen (1 shared paper)Robert D. Malmstrom (1 shared paper)Christopher T. Lee (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (10 papers)Journal of Cheminformatics (7 papers)PLoS Computational Biology (5 papers)Journal of Molecular Graphics and Modelling (4 papers)Journal of Chemical Theory and Computation (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Jacob D. Durrant
76 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Computational Theory and Mathematics 1.7k
- Molecular Biology 2.9k
- Pharmacology 336
- Biophysics 104
- Pharmacology 156
Countries citing papers authored by Jacob D. Durrant
This map shows the geographic impact of Jacob D. Durrant'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 Jacob D. Durrant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob D. Durrant more than expected).
Fields of papers citing papers by Jacob D. Durrant
This network shows the impact of papers produced by Jacob D. Durrant. 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 Jacob D. Durrant. The network helps show where Jacob D. Durrant may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob D. Durrant, 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 | Molecular dynamics simulations and drug discovery Hit paper breakdown → | 2011 | 924 |
| 2 | 2011 | 267 | |
| 3 | 2016 | 188 | |
| 4 | 2014 | 187 | |
| 5 | 2010 | 184 | |
| 6 | 2011 | 180 | |
| 7 | 2010 | 177 | |
| 8 | 2014 | 143 | |
| 9 | 2014 | 113 | |
| 10 | 2020 | 97 | |
| 11 | 2020 | 83 | |
| 12 | 2009 | 82 | |
| 13 | 2011 | 73 | |
| 14 | 2020 | 73 | |
| 15 | 2021 | 66 | |
| 16 | 2010 | 65 | |
| 17 | 2010 | 64 | |
| 18 | 2021 | 61 | |
| 19 | 2010 | 60 | |
| 20 | 2014 | 58 |
About Jacob D. Durrant
Jacob D. Durrant is a scholar working on Molecular Biology, Computational Theory and Mathematics, Epidemiology, Materials Chemistry and Organic Chemistry, having authored 78 papers that have together received 4.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (35 papers), Protein Structure and Dynamics (29 papers), RNA and protein synthesis mechanisms (12 papers), Receptor Mechanisms and Signaling (8 papers), Trypanosoma species research and implications (8 papers), Biochemical and Molecular Research (7 papers), Microbial Natural Products and Biosynthesis (6 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Computational Theory and Mathematics (1.7k citations), Molecular Biology (2.9k citations), Pharmacology (336 citations), Biophysics (104 citations) and Pharmacology (156 citations). Jacob D. Durrant has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include J. Andrew McCammon, Rommie E. Amaro, Lane Votapka, César Augusto F. de Oliveira, Victoria A. Feher, Jesper Givskov Sørensen, Robert D. Malmstrom, Christopher T. Lee, Jeffrey Wagner and Bennett Van Houten. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Cheminformatics, PLoS Computational Biology, Journal of Molecular Graphics and Modelling and Journal of Chemical Theory and Computation.
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.