Bryan T. Mott
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Virology top 5%
Papers in
-
- Biochemical and Molecular Research 4
- Epigenetics and DNA Methylation 3
-
- Computational Drug Discovery Methods 11
- Co-authors
- David J. Maloney (13 shared papers)Craig J. Thomas (11 shared papers)Anton Simeonov (8 shared papers)Ajit Jadhav (8 shared papers)Gary H. Posner (11 shared papers)Rafaela Salgado Ferreira (3 shared papers)Brian K. Shoichet (3 shared papers)James Inglese (5 shared papers)
- Journals
- Journal of Medicinal Chemistry (7 papers)PLoS ONE (4 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Antimicrobial Agents and Chemotherapy (2 papers)Blood Advances (1 paper)
- Partner nations
- United StatesUnited KingdomGhana
In The Last Decade
Bryan T. Mott
44 papers receiving 2.1k citations
Bryan T. Mott's Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 465
- Virology 100
- Molecular Biology 1.2k
- Computational Theory and Mathematics 269
- Toxicology 42
Countries citing papers authored by Bryan T. Mott
This map shows the geographic impact of Bryan T. Mott'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 Bryan T. Mott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan T. Mott more than expected).
Fields of papers citing papers by Bryan T. Mott
This network shows the impact of papers produced by Bryan T. Mott. 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 Bryan T. Mott. The network helps show where Bryan T. Mott may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan T. Mott, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Environment Impacts the Metabolic Dependencies of Ras-Driven Non-Small Cell Lung Cancer Hit paper breakdown → | 2016 | 562 |
| 2 | 2009 | 189 | |
| 3 | 2010 | 175 | |
| 4 | 2010 | 175 | |
| 5 | 2008 | 113 | |
| 6 | 2009 | 95 | |
| 7 | 2006 | 67 | |
| 8 | 2011 | 61 | |
| 9 | 2009 | 57 | |
| 10 | 2014 | 55 | |
| 11 | 2010 | 55 | |
| 12 | 2011 | 53 | |
| 13 | 2013 | 39 | |
| 14 | 2009 | 38 | |
| 15 | 2004 | 36 | |
| 16 | 2016 | 34 | |
| 17 | 2012 | 31 | |
| 18 | 2013 | 30 | |
| 19 | 2013 | 27 | |
| 20 | 2011 | 25 |
About Bryan T. Mott
Bryan T. Mott is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), HIV/AIDS drug development and treatment (9 papers), Malaria Research and Control (7 papers), Biochemical and Molecular Research (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Toxoplasma gondii Research Studies (4 papers), Epigenetics and DNA Methylation (3 papers) and Research on Leishmaniasis Studies (3 papers). The work is most often cited by research in Cancer Research (465 citations), Virology (100 citations), Molecular Biology (1.2k citations), Computational Theory and Mathematics (269 citations) and Toxicology (42 citations). Bryan T. Mott has collaborated with scholars based in United States, United Kingdom and Ghana. Frequent co-authors include David J. Maloney, Craig J. Thomas, Anton Simeonov, Ajit Jadhav, Gary H. Posner, Rafaela Salgado Ferreira, Brian K. Shoichet, James Inglese, Christopher P. Austin and Christopher R. Chin. Their work appears in journals such as Journal of Medicinal Chemistry, PLoS ONE, Bioorganic & Medicinal Chemistry Letters, Antimicrobial Agents and Chemotherapy and Blood Advances.
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.