Tom Vogwill
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Genetics top 5%
- Evolution and Genetic Dynamics
Papers in
- Genetics 15
- Evolution and Genetic Dynamics 14
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- Evolutionary Game Theory and Cooperation 5
- Co-authors
- R. Craig MacLean (7 shared papers)Michael A. Brockhurst (6 shared papers)Andy Fenton (5 shared papers)Angus Buckling (2 shared papers)Mila Kojadinovic (2 shared papers)Mike Quail (1 shared paper)Frances J.D. Smith (1 shared paper)Ben Libberton (1 shared paper)
- Journals
- Journal of Evolutionary Biology (3 papers)Evolutionary Applications (2 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)Evolution Medicine and Public Health (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- United KingdomFranceSpain
In The Last Decade
Tom Vogwill
16 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Molecular Medicine 308
- Genetics 599
- Endocrinology 80
- Applied Microbiology and Biotechnology 26
- Ecology 363
Countries citing papers authored by Tom Vogwill
This map shows the geographic impact of Tom Vogwill'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 Tom Vogwill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Vogwill more than expected).
Fields of papers citing papers by Tom Vogwill
This network shows the impact of papers produced by Tom Vogwill. 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 Tom Vogwill. The network helps show where Tom Vogwill may publish in the future.
Co-authors
The 22 scholars most cited alongside Tom Vogwill, 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 | 2010 | 397 | |
| 2 | 2014 | 300 | |
| 3 | 2016 | 72 | |
| 4 | 2013 | 65 | |
| 5 | 2016 | 47 | |
| 6 | 2014 | 43 | |
| 7 | 2014 | 40 | |
| 8 | 2018 | 40 | |
| 9 | 2009 | 39 | |
| 10 | 2016 | 35 | |
| 11 | 2008 | 30 | |
| 12 | 2012 | 29 | |
| 13 | 2009 | 27 | |
| 14 | 2009 | 22 | |
| 15 | 2012 | 20 | |
| 16 | 2011 | 14 |
About Tom Vogwill
Tom Vogwill is a scholar working on Genetics, Sociology and Political Science, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Ecology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (14 papers), Plant and animal studies (5 papers), Evolutionary Game Theory and Cooperation (5 papers), Genomics and Phylogenetic Studies (4 papers), Antibiotic Resistance in Bacteria (4 papers), Ecology and Vegetation Dynamics Studies (3 papers), Bacteriophages and microbial interactions (3 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (2 papers). The work is most often cited by research in Molecular Medicine (308 citations), Genetics (599 citations), Endocrinology (80 citations), Applied Microbiology and Biotechnology (26 citations) and Ecology (363 citations). Tom Vogwill has collaborated with scholars based in United Kingdom, France and Spain. Frequent co-authors include R. Craig MacLean, Michael A. Brockhurst, Andy Fenton, Angus Buckling, Mila Kojadinovic, Mike Quail, Frances J.D. Smith, Ben Libberton, Neil Hall and Danielle Walker. Their work appears in journals such as Journal of Evolutionary Biology, Evolutionary Applications, Proceedings of the Royal Society B Biological Sciences, Evolution Medicine and Public Health and Molecular Biology and Evolution.
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.