Michael J. Keiser
Impact in
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
- Pharmacology top 0.5%
- Microbial Natural Products and Biosynthesis
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Receptor Mechanisms and Signaling 9
- Protein Structure and Dynamics 7
- Chemical Synthesis and Analysis 4
-
- Computational Drug Discovery Methods 24
- Co-authors
- Brian K. Shoichet (12 shared papers)John J. Irwin (9 shared papers)Bryan L. Roth (7 shared papers)Blaine N. Armbruster (1 shared paper)Paul Ernsberger (1 shared paper)Jérôme Hert (4 shared papers)Christian Laggner (4 shared papers)Kangway V. Chuang (4 shared papers)
- Journals
- Journal of Chemical Information and Modeling (7 papers)Nature Communications (4 papers)Journal of Medicinal Chemistry (4 papers)Nature Chemical Biology (3 papers)Acta Neuropathologica Communications (3 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Michael J. Keiser
50 papers receiving 5.6k citations
Michael J. Keiser's Hit Papers
Peers
Comparison fields: 5 of 161
- Computational Theory and Mathematics 2.9k
- Pharmacology 603
- Pharmacology 780
- Molecular Biology 3.0k
- Health Informatics 53
Countries citing papers authored by Michael J. Keiser
This map shows the geographic impact of Michael J. Keiser'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 Michael J. Keiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Keiser more than expected).
Fields of papers citing papers by Michael J. Keiser
This network shows the impact of papers produced by Michael J. Keiser. 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 Michael J. Keiser. The network helps show where Michael J. Keiser may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J. Keiser, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Relating protein pharmacology by ligand chemistry Hit paper breakdown → | 2007 | 1693 |
| 2 | Predicting new molecular targets for known drugs Hit paper breakdown → | 2009 | 1257 |
| 3 | Large-scale prediction and testing of drug activity on side-effect targets Hit paper breakdown → | 2012 | 661 |
| 4 | 2010 | 175 | |
| 5 | 2009 | 175 | |
| 6 | 2020 | 142 | |
| 7 | 2019 | 138 | |
| 8 | 2020 | 138 | |
| 9 | 2008 | 126 | |
| 10 | 2016 | 120 | |
| 11 | 2011 | 96 | |
| 12 | 2016 | 90 | |
| 13 | 2017 | 87 | |
| 14 | 2010 | 82 | |
| 15 | 2010 | 53 | |
| 16 | 2017 | 53 | |
| 17 | 2018 | 45 | |
| 18 | 2015 | 41 | |
| 19 | 2017 | 38 | |
| 20 | 2019 | 34 |
About Michael J. Keiser
Michael J. Keiser is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 5.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (24 papers), Receptor Mechanisms and Signaling (9 papers), Protein Structure and Dynamics (7 papers), Machine Learning in Materials Science (7 papers), AI in cancer detection (6 papers), Cell Image Analysis Techniques (5 papers), Medical Imaging and Analysis (4 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Computational Theory and Mathematics (2.9k citations), Pharmacology (603 citations), Pharmacology (780 citations), Molecular Biology (3.0k citations) and Health Informatics (53 citations). Michael J. Keiser has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Brian K. Shoichet, John J. Irwin, Bryan L. Roth, Blaine N. Armbruster, Paul Ernsberger, Jérôme Hert, Christian Laggner, Kangway V. Chuang, Vincent Setola and Atheir I. Abbas. Their work appears in journals such as Journal of Chemical Information and Modeling, Nature Communications, Journal of Medicinal Chemistry, Nature Chemical Biology and Acta Neuropathologica Communications.
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.