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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- Antibiotic Resistance in Bacteria 4
- 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)Nicholas Robert Thomson (1 shared paper)Danielle Walker (1 shared paper)Mike A. Quail (1 shared paper)
- Journals
- Journal of Evolutionary Biology (3 papers)Evolutionary Applications (2 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)New Phytologist (1 paper)Nature Ecology & Evolution (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Tom Vogwill
16 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- Molecular Medicine 324
- Genetics 627
- Endocrinology 84
- Applied Microbiology and Biotechnology 30
- Ecology 392
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 | 431 | |
| 2 | 2014 | 321 | |
| 3 | 2016 | 73 | |
| 4 | 2013 | 66 | |
| 5 | 2016 | 52 | |
| 6 | 2018 | 45 | |
| 7 | 2014 | 45 | |
| 8 | 2014 | 42 | |
| 9 | 2009 | 42 | |
| 10 | 2016 | 35 | |
| 11 | 2008 | 31 | |
| 12 | 2012 | 30 | |
| 13 | 2009 | 27 | |
| 14 | 2009 | 24 | |
| 15 | 2012 | 20 | |
| 16 | 2011 | 14 |
About Tom Vogwill
Tom Vogwill is a scholar working on Genetics, Molecular Medicine, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Ecology, having authored 16 papers that have together received 1.3k 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), Bacteriophages and microbial interactions (3 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Burkholderia infections and melioidosis (2 papers). The work is most often cited by research in Molecular Medicine (324 citations), Genetics (627 citations), Endocrinology (84 citations), Applied Microbiology and Biotechnology (30 citations) and Ecology (392 citations). Tom Vogwill has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include R. Craig MacLean, Michael A. Brockhurst, Andy Fenton, Angus Buckling, Mila Kojadinovic, Nicholas Robert Thomson, Danielle Walker, Mike A. Quail, Frances J.D. Smith and Ben Libberton. Their work appears in journals such as Journal of Evolutionary Biology, Evolutionary Applications, Proceedings of the Royal Society B Biological Sciences, New Phytologist and Nature Ecology & 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.