Bryan T. Mott
- Molecular Biology top 10%
- Cancer Research top 5%
- Organic Chemistry top 5%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 10%
- Co-authors
- David J. MaloneyCraig J. ThomasAjit JadhavAnton SimeonovGary H. PosnerRafaela Salgado FerreiraBrian K. ShoichetJames Inglese
- Topics
- Computational Drug Discovery Methods (11 papers)HIV/AIDS drug development and treatment (9 papers)Malaria Research and Control (7 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Bryan T. Mott
44 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.3k
- Cancer Research 478
- Organic Chemistry 370
- Public Health, Environmental and Occupational Health 316
- Epidemiology 284
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-authorship network of co-authors of Bryan T. Mott
This figure shows the co-authorship network connecting the top 25 collaborators of Bryan T. Mott. A scholar is included among the top collaborators of Bryan T. Mott based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bryan T. Mott. Bryan T. Mott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | Environment Impacts the Metabolic Dependencies of Ras-Driven Non-Small Cell Lung Cancerbreakdown → | 554 |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 17 | |
| 10 | 55 | |
| 11 | 14 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 53 | |
| 16 | 61 | |
| 17 | 54 | |
| 18 | 173 | |
| 19 | 38 | |
| 20 | 56 |
About Bryan T. Mott
Bryan T. Mott is a scholar working on Parasitology, Virology and Computational Theory and Mathematics, 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) and Malaria Research and Control (7 papers). The work is most often cited by research in Cancer Research (478 citations), Virology (123 citations) and Molecular Biology (1.3k citations). Bryan T. Mott has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include David J. Maloney, Craig J. Thomas, Ajit Jadhav, Anton Simeonov, Gary H. Posner, Rafaela Salgado Ferreira, Brian K. Shoichet, James Inglese, Abhishek Jha and James P. O’Brien. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.