Arthur J. Olson
Impact in
- Computational Theory and Mathematics top 0.01%
- Computational Drug Discovery Methods
- Toxicology top 0.01%
Papers in
-
- Protein Structure and Dynamics 58
-
- Computational Drug Discovery Methods 43
- Co-authors
- Oleg Trott (2 shared papers)David S. Goodsell (67 shared papers)Garrett M. Morris (34 shared papers)Ruth Huey (12 shared papers)Michel F. Sanner (28 shared papers)Richard K. Belew (8 shared papers)William Lindstrom (6 shared papers)Sargis Dallakyan (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (14 papers)Journal of Molecular Biology (10 papers)Journal of Biological Chemistry (9 papers)Journal of Chemical Information and Modeling (8 papers)Biochemistry (7 papers)
- Partner nations
- United StatesThailandUnited Kingdom
In The Last Decade
Arthur J. Olson
207 papers receiving 81.3k citations
Arthur J. Olson's Hit Papers
Peers
Comparison fields: 5 of 204
- Computational Theory and Mathematics 18.0k
- Toxicology 2.2k
- Molecular Biology 43.0k
- Organic Chemistry 18.5k
- Pharmacology 4.3k
Countries citing papers authored by Arthur J. Olson
This map shows the geographic impact of Arthur J. Olson'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 Arthur J. Olson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur J. Olson more than expected).
Fields of papers citing papers by Arthur J. Olson
This network shows the impact of papers produced by Arthur J. Olson. 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 Arthur J. Olson. The network helps show where Arthur J. Olson may publish in the future.
Co-authors
The 25 scholars most cited alongside Arthur J. Olson, 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 208 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading Hit paper breakdown → | 2009 | 28018 |
| 2 | AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility Hit paper breakdown → | 2009 | 19679 |
| 3 | Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function Hit paper breakdown → | 1998 | 9341 |
| 4 | Small-Molecule Library Screening by Docking with PyRx Hit paper breakdown → | 2014 | 2735 |
| 5 | A semiempirical free energy force field with charge‐based desolvation Hit paper breakdown → | 2007 | 1851 |
| 6 | Computational protein–ligand docking and virtual drug screening with the AutoDock suite Hit paper breakdown → | 2016 | 1825 |
| 7 | Reduced surface: An efficient way to compute molecular surfaces Hit paper breakdown → | 1996 | 1713 |
| 8 | Automated docking of flexible ligands: Applications of autodock Hit paper breakdown → | 1996 | 1325 |
| 9 | Automated docking of substrates to proteins by simulated annealing Hit paper breakdown → | 1990 | 974 |
| 10 | Using AutoDock for Ligand‐Receptor Docking Hit paper breakdown → | 2008 | 964 |
| 11 | Distributed automated docking of flexible ligands to proteins: Parallel applications of AutoDock 2.4 Hit paper breakdown → | 1996 | 882 |
| 12 | Structural Symmetry and Protein Function Hit paper breakdown → | 2000 | 736 |
| 13 | Immunogenic structure of the influenza virus hemagglutinin Hit paper breakdown → | 1982 | 675 |
| 14 | Proteome-wide covalent ligand discovery in native biological systems Hit paper breakdown → | 2016 | 666 |
| 15 | Virtual screening with AutoDock: theory and practice Hit paper breakdown → | 2010 | 540 |
| 16 | Tomato bushy stunt virus at 2.9 Å resolution Hit paper breakdown → | 1978 | 527 |
| 17 | Reduced surface: an efficient way to compute molecular surfaces. Hit paper breakdown → | 1996 | 493 |
| 18 | Inhibitors of HIV‐1 Protease by Using In Situ Click Chemistry Hit paper breakdown → | 2006 | 462 |
| 19 | AutoDockFR: Advances in Protein-Ligand Docking with Explicitly Specified Binding Site Flexibility Hit paper breakdown → | 2015 | 459 |
| 20 | 1984 | 403 |
About Arthur J. Olson
Arthur J. Olson is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Virology and Materials Chemistry, having authored 208 papers that have together received 82.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (58 papers), Computational Drug Discovery Methods (43 papers), HIV/AIDS drug development and treatment (37 papers), HIV Research and Treatment (35 papers), Enzyme Structure and Function (23 papers), Click Chemistry and Applications (19 papers), Monoclonal and Polyclonal Antibodies Research (18 papers) and Bacteriophages and microbial interactions (13 papers). The work is most often cited by research in Computational Theory and Mathematics (18.0k citations), Toxicology (2.2k citations), Molecular Biology (43.0k citations), Organic Chemistry (18.5k citations) and Pharmacology (4.3k citations). Arthur J. Olson has collaborated with scholars based in United States, Thailand and United Kingdom. Frequent co-authors include Oleg Trott, David S. Goodsell, Garrett M. Morris, Ruth Huey, Michel F. Sanner, Richard K. Belew, William Lindstrom, Sargis Dallakyan, William E. Hart and Stefano Forli. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Molecular Biology, Journal of Biological Chemistry, Journal of Chemical Information and Modeling and Biochemistry.
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.