Tom Vogwill

1.8k total citations
16 papers, 1.2k citations indexed

About

Tom Vogwill is a scholar working on Genetics, Sociology and Political Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Tom Vogwill has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 5 papers in Sociology and Political Science and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Tom Vogwill's work include Evolution and Genetic Dynamics (14 papers), Plant and animal studies (5 papers) and Evolutionary Game Theory and Cooperation (5 papers). Tom Vogwill is often cited by papers focused on Evolution and Genetic Dynamics (14 papers), Plant and animal studies (5 papers) and Evolutionary Game Theory and Cooperation (5 papers). Tom Vogwill collaborates with scholars based in United Kingdom, France and United States. Tom Vogwill's co-authors include R. Craig MacLean, Andy Fenton, Michael A. Brockhurst, Angus Buckling, Mila Kojadinovic, Frances J.D. Smith, Steve Paterson, Ben Libberton, Neil Hall and Nicholas R. Thomson and has published in prestigious journals such as Nature, The American Naturalist and New Phytologist.

In The Last Decade

Tom Vogwill

16 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tom Vogwill United Kingdom 15 603 389 368 325 237 16 1.2k
Véronique Perrot United States 8 646 1.1× 405 1.0× 234 0.6× 345 1.1× 130 0.5× 9 1.4k
François Blanquart France 20 633 1.0× 312 0.8× 377 1.0× 173 0.5× 161 0.7× 50 1.6k
Ben Raymond United Kingdom 31 469 0.8× 1.3k 3.2× 228 0.6× 163 0.5× 517 2.2× 76 2.1k
Jan Engelstädter Australia 28 1.1k 1.9× 589 1.5× 276 0.8× 283 0.9× 457 1.9× 71 3.3k
Ellie Harrison United Kingdom 26 753 1.2× 922 2.4× 862 2.3× 727 2.2× 349 1.5× 47 2.2k
Michel Blot France 15 665 1.1× 764 2.0× 273 0.7× 77 0.2× 241 1.0× 28 1.2k
D E Dykhuizen United States 18 784 1.3× 849 2.2× 323 0.9× 60 0.2× 206 0.9× 25 1.7k
Alex Betts United Kingdom 13 365 0.6× 524 1.3× 372 1.0× 57 0.2× 147 0.6× 15 1.0k
Stineke van Houte United Kingdom 24 558 0.9× 1.3k 3.3× 1.1k 3.1× 98 0.3× 282 1.2× 43 2.1k
Jorge A. Moura de Sousa France 17 265 0.4× 529 1.4× 645 1.8× 226 0.7× 169 0.7× 22 1.1k

Countries citing papers authored by Tom Vogwill

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tom Vogwill

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Vogwill. A scholar is included among the top collaborators of Tom Vogwill 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 Tom Vogwill. Tom Vogwill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Gifford, Danna R., Victoria Furió, Andrei Papkou, et al.. (2018). Identifying and exploiting genes that potentiate the evolution of antibiotic resistance. Nature Ecology & Evolution. 2(6). 1033–1039. 39 indexed citations
2.
Vogwill, Tom, et al.. (2016). Divergent evolution peaks under intermediate population bottlenecks during bacterial experimental evolution. Proceedings of the Royal Society B Biological Sciences. 283(1835). 20160749–20160749. 35 indexed citations
3.
Vogwill, Tom, Mila Kojadinovic, & R. Craig MacLean. (2016). Epistasis between antibiotic resistance mutations and genetic background shape the fitness effect of resistance across species ofPseudomonas. Proceedings of the Royal Society B Biological Sciences. 283(1830). 20160151–20160151. 71 indexed citations
4.
Vogwill, Tom, et al.. (2016). Persistence and resistance as complementary bacterial adaptations to antibiotics. Journal of Evolutionary Biology. 29(6). 1223–1233. 47 indexed citations
5.
Vogwill, Tom, Mila Kojadinovic, Victoria Furió, & R. Craig MacLean. (2014). Testing the Role of Genetic Background in Parallel Evolution Using the Comparative Experimental Evolution of Antibiotic Resistance. Molecular Biology and Evolution. 31(12). 3314–3323. 42 indexed citations
6.
MacLean, R. Craig & Tom Vogwill. (2014). Limits to compensatory adaptation and the persistence of antibiotic resistance in pathogenic bacteria. Evolution Medicine and Public Health. 2015(1). 4–12. 40 indexed citations
7.
Vogwill, Tom & R. Craig MacLean. (2014). The genetic basis of the fitness costs of antimicrobial resistance: a meta‐analysis approach. Evolutionary Applications. 8(3). 284–295. 291 indexed citations
8.
Lagator, Mato, Tom Vogwill, Andrew Mead, Nick Colegrave, & Paul Neve. (2013). Herbicide mixtures at high doses slow the evolution of resistance in experimentally evolving populations of Chlamydomonas reinhardtii. New Phytologist. 198(3). 938–945. 65 indexed citations
9.
Vogwill, Tom, Mato Lagator, Nick Colegrave, & Paul Neve. (2012). The experimental evolution of herbicide resistance in Chlamydomonas reinhardtii results in a positive correlation between fitness in the presence and absence of herbicides. Journal of Evolutionary Biology. 25(10). 1955–1964. 19 indexed citations
10.
Lagator, Mato, Tom Vogwill, Nick Colegrave, & Paul Neve. (2012). Herbicide cycling has diverse effects on evolution of resistance in Chlamydomonas reinhardtii. Evolutionary Applications. 6(2). 197–206. 28 indexed citations
11.
Vogwill, Tom, Andy Fenton, & Michael A. Brockhurst. (2011). Coevolving parasites enhance the diversity-decreasing effect of dispersal. Biology Letters. 7(4). 578–580. 14 indexed citations
12.
Paterson, Steve, Tom Vogwill, Angus Buckling, et al.. (2010). Antagonistic coevolution accelerates molecular evolution. Nature. 464(7286). 275–278. 392 indexed citations
13.
Vogwill, Tom, Andy Fenton, Angus Buckling, Michael Hochberg, & Michael A. Brockhurst. (2009). Source Populations Act as Coevolutionary Pacemakers in Experimental Selection Mosaics Containing Hotspots and Coldspots. The American Naturalist. 173(5). E171–E176. 27 indexed citations
14.
Vogwill, Tom, Andy Fenton, & Michael A. Brockhurst. (2009). HOW DOES SPATIAL DISPERSAL NETWORK AFFECT THE EVOLUTION OF PARASITE LOCAL ADAPTATION?. Evolution. 64(6). 1795–1801. 22 indexed citations
15.
Vogwill, Tom, Andy Fenton, & Michael A. Brockhurst. (2009). Dispersal and natural enemies interact to drive spatial synchrony and decrease stability in patchy populations. Ecology Letters. 12(11). 1194–1200. 38 indexed citations
16.
Vogwill, Tom, Andy Fenton, & Michael A. Brockhurst. (2008). The impact of parasite dispersal on antagonistic host–parasite coevolution. Journal of Evolutionary Biology. 21(5). 1252–1258. 30 indexed citations

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.

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