Sam P. Brown
- Endocrinology top 0.5%
- Genetics top 0.5%
- Evolution and Genetic Dynamics 66
- Bacterial Genetics and Biotechnology 10
- Molecular Medicine top 1%
- Insect Science top 0.5%
- Ecology top 1%
- Bacteriophages and microbial interactions 11
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- Evolutionary Game Theory and Cooperation 48
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- Plant and animal studies 19
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- Mathematical and Theoretical Epidemiology and Ecology Models 15
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- Gut microbiota and health 13
- Bacterial biofilms and quorum sensing 11
- Co-authors
- Luke McNallyDaniel M. CornforthRoman PopatStephen P. DiggleDaniel J. RankinMichael HochbergFrançois TaddéiBryan T. Grenfell
- Journals
- Proceedings of the Royal Society B Biological Sciences (11 papers)PLoS Biology (7 papers)Evolution (7 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Sam P. Brown
139 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Endocrinology 538
- Genetics 2.9k
- Molecular Medicine 430
- Insect Science 946
- Ecology 1.4k
Countries citing papers authored by Sam P. Brown
This map shows the geographic impact of Sam P. Brown'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 Sam P. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam P. Brown more than expected).
Fields of papers citing papers by Sam P. Brown
This network shows the impact of papers produced by Sam P. Brown. 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 Sam P. Brown. The network helps show where Sam P. Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sam P. Brown, 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 | 2025 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 6 | |
| 6 | 2020 | 10 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 39 | |
| 9 | 2020 | 7 | |
| 10 | 2019 | 64 | |
| 11 | 2017 | 31 | |
| 12 | 2017 | 118 | |
| 13 | 2016 | 208 | |
| 14 | 2016 | 18 | |
| 15 | 2012 | 20 | |
| 16 | 2011 | 6 | |
| 17 | 2008 | 55 | |
| 18 | 2003 | 96 | |
| 19 | 2003 | 35 | |
| 20 | Why are we still in Vietnam | 1970 | 2 |
About Sam P. Brown
Sam P. Brown is a scholar working on Genetics, Applied Microbiology and Biotechnology, Endocrinology, Sociology and Political Science and Insect Science, having authored 144 papers that have together received 6.6k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (66 papers), Evolutionary Game Theory and Cooperation (48 papers), Plant and animal studies (19 papers), Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Gut microbiota and health (13 papers), Bacterial biofilms and quorum sensing (11 papers), Bacteriophages and microbial interactions (11 papers) and Bacterial Genetics and Biotechnology (10 papers). The work is most often cited by research in Endocrinology (538 citations), Genetics (2.9k citations), Molecular Medicine (430 citations), Insect Science (946 citations) and Ecology (1.4k citations). Sam P. Brown has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Luke McNally, Daniel M. Cornforth, Roman Popat, Stephen P. Diggle, Daniel J. Rankin, Michael Hochberg, François Taddéi, Bryan T. Grenfell, Richard C. Allen and Sylvie Estrela. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, PLoS Biology, Evolution, Current Biology and mBio.
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.