Sean Ekins
Impact in
- Pharmacology top 0.01%
- Pharmacogenetics and Drug Metabolism
- Computational Theory and Mathematics top 0.01%
- Computational Drug Discovery Methods
Papers in
- Pharmacology 101
- Pharmacogenetics and Drug Metabolism 95
-
- Computational Drug Discovery Methods 170
- Co-authors
- Steven WrightonAntony WilliamsMatthew D. KrasowskiPeter W. SwaanBernard TestaJordi MestresAlex M. ClarkJoel S. Freundlich
- Journals
- Pharmaceutical Research (32 papers)Drug Metabolism and Disposition (26 papers)Drug Discovery Today (25 papers)Journal of Chemical Information and Modeling (17 papers)Molecular Pharmaceutics (15 papers)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Sean Ekins
369 papers receiving 15.1k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Pharmacology 3.9k
- Computational Theory and Mathematics 6.3k
- Infectious Diseases 2.1k
- Oncology 2.5k
- Molecular Biology 6.1k
Countries citing papers authored by Sean Ekins
This map shows the geographic impact of Sean Ekins'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 Sean Ekins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Ekins more than expected).
Fields of papers citing papers by Sean Ekins
This network shows the impact of papers produced by Sean Ekins. 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 Sean Ekins. The network helps show where Sean Ekins may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean Ekins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 29 | |
| 7 | 2020 | 17 | |
| 8 | Exploiting machine learning for end-to-end drug discovery and development Hit paper breakdown → | 2019 | 352 |
| 9 | 2018 | 26 | |
| 10 | 2018 | 48 | |
| 11 | 2015 | 30 | |
| 12 | 2015 | 11 | |
| 13 | 2014 | 5 | |
| 14 | 2013 | 2 | |
| 15 | 2013 | 32 | |
| 16 | 2013 | 32 | |
| 17 | 2010 | 68 | |
| 18 | 2010 | 57 | |
| 19 | 2008 | 92 | |
| 20 | Computational Toxicology: Risk Assessment for Pharmaceutical and Environmental Chemicals (Wiley Series on Technologies for the Pharmaceutical Industry) | 2007 | 2 |
About Sean Ekins
Sean Ekins is a scholar working on Pharmacology, Computational Theory and Mathematics, Infectious Diseases, Oncology and Molecular Biology, having authored 383 papers that have together received 15.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (170 papers), Pharmacogenetics and Drug Metabolism (95 papers), Drug Transport and Resistance Mechanisms (53 papers), Tuberculosis Research and Epidemiology (45 papers), Analytical Chemistry and Chromatography (31 papers), Estrogen and related hormone effects (23 papers), HIV/AIDS drug development and treatment (18 papers) and Bioinformatics and Genomic Networks (18 papers). The work is most often cited by research in Pharmacology (3.9k citations), Computational Theory and Mathematics (6.3k citations), Infectious Diseases (2.1k citations), Oncology (2.5k citations) and Molecular Biology (6.1k citations). Sean Ekins has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Steven Wrighton, Antony Williams, Matthew D. Krasowski, Peter W. Swaan, Bernard Testa, Jordi Mestres, Alex M. Clark, Joel S. Freundlich, Kimberley M. Zorn and James H. Wikel. Their work appears in journals such as Pharmaceutical Research, Drug Metabolism and Disposition, Drug Discovery Today, Journal of Chemical Information and Modeling and Molecular Pharmaceutics.
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.