Britton Boras
Impact in
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- Computational Drug Discovery Methods
Papers in
- Oncology 4
- Neutropenia and Cancer Infections 3
- Lung Cancer Research Studies 2
- Cancer Treatment and Pharmacology 1
-
- Computational Drug Discovery Methods 4
- Co-authors
- Andrew D. McCulloch (3 shared papers)Micky D. Tortorella (1 shared paper)Michael M. Morgen (1 shared paper)Anne‐Marie Malfait (1 shared paper)David Tung (1 shared paper)Alexandr P. Kornev (1 shared paper)Susan S. Taylor (1 shared paper)Amit S. Kalgutkar (2 shared papers)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (2 papers)Drug Metabolism and Disposition (2 papers)Journal of Pharmacokinetics and Pharmacodynamics (2 papers)Pharmaceutical Research (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Britton Boras
11 papers receiving 274 citations
Peers
Comparison fields: 5 of 79
- Computational Theory and Mathematics 47
- Pharmaceutical Science 17
- Rheumatology 41
- Infectious Diseases 49
- Pharmacology 19
Countries citing papers authored by Britton Boras
This map shows the geographic impact of Britton Boras'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 Britton Boras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Britton Boras more than expected).
Fields of papers citing papers by Britton Boras
This network shows the impact of papers produced by Britton Boras. 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 Britton Boras. The network helps show where Britton Boras may publish in the future.
Co-authors
The 25 scholars most cited alongside Britton Boras, 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 | 2022 | 77 | |
| 2 | 2012 | 73 | |
| 3 | 2016 | 40 | |
| 4 | 2014 | 28 | |
| 5 | 2015 | 19 | |
| 6 | 2022 | 16 | |
| 7 | 2020 | 11 | |
| 8 | 2024 | 6 | |
| 9 | 2020 | 6 | |
| 10 | 2021 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 0 |
About Britton Boras
Britton Boras is a scholar working on Oncology, Computational Theory and Mathematics, Molecular Biology, Genetics and Statistics and Probability, having authored 12 papers that have together received 279 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Blood disorders and treatments (3 papers), Neutropenia and Cancer Infections (3 papers), Protein Structure and Dynamics (2 papers), Receptor Mechanisms and Signaling (2 papers), Statistical Methods in Clinical Trials (2 papers), Lung Cancer Research Studies (2 papers) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Computational Theory and Mathematics (47 citations), Pharmaceutical Science (17 citations), Rheumatology (41 citations), Infectious Diseases (49 citations) and Pharmacology (19 citations). Britton Boras has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Andrew D. McCulloch, Micky D. Tortorella, Michael M. Morgen, Anne‐Marie Malfait, David Tung, Alexandr P. Kornev, Susan S. Taylor, Amit S. Kalgutkar, Ravi Shankar Prasad Singh and Jonathan J. Novak. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Drug Metabolism and Disposition, Journal of Pharmacokinetics and Pharmacodynamics, Pharmaceutical Research and PLoS Computational Biology.
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.