Tom Clegg

449 total citations
10 papers, 252 citations indexed

About

Tom Clegg is a scholar working on Ecology, Genetics and Sociology and Political Science. According to data from OpenAlex, Tom Clegg has authored 10 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 7 papers in Genetics and 3 papers in Sociology and Political Science. Recurrent topics in Tom Clegg's work include Evolution and Genetic Dynamics (6 papers), Physiological and biochemical adaptations (3 papers) and Microbial Community Ecology and Physiology (3 papers). Tom Clegg is often cited by papers focused on Evolution and Genetic Dynamics (6 papers), Physiological and biochemical adaptations (3 papers) and Microbial Community Ecology and Physiology (3 papers). Tom Clegg collaborates with scholars based in United Kingdom, Germany and United States. Tom Clegg's co-authors include Samraat Pawar, Tom Smith, Andrew P. Beckerman, Thomas Bell, M. W. Holdgate, Francisca C. García, Ruth Warfield, Gabriel Yvon‐Durocher, Aurélie Garnier and Julia L. Blanchard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Ecology and The American Naturalist.

In The Last Decade

Tom Clegg

10 papers receiving 251 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 Clegg United Kingdom 7 133 56 42 40 34 10 252
Ruth Warfield United Kingdom 4 145 1.1× 71 1.3× 59 1.4× 52 1.3× 34 1.0× 6 308
C. Anderson United States 9 70 0.5× 21 0.4× 44 1.0× 24 0.6× 26 0.8× 21 286
Jennifer Learned United States 5 91 0.7× 130 2.3× 68 1.6× 25 0.6× 17 0.5× 9 297
Antti Kanninen Finland 10 230 1.7× 38 0.7× 93 2.2× 17 0.4× 36 1.1× 16 355
Romana K. Salis Sweden 8 259 1.9× 32 0.6× 130 3.1× 61 1.5× 8 0.2× 17 361
Toru Okamoto Japan 11 57 0.4× 101 1.8× 116 2.8× 33 0.8× 28 0.8× 23 304
Robyn Adams Australia 11 167 1.3× 138 2.5× 70 1.7× 13 0.3× 16 0.5× 24 325
Sam B. Duggan United States 3 265 2.0× 70 1.3× 38 0.9× 136 3.4× 84 2.5× 4 371
Dieison A. Moi Brazil 14 220 1.7× 88 1.6× 242 5.8× 23 0.6× 20 0.6× 32 409
Jens Thaulow Norway 11 129 1.0× 59 1.1× 44 1.0× 81 2.0× 4 0.1× 18 273

Countries citing papers authored by Tom Clegg

Since Specialization
Citations

This map shows the geographic impact of Tom Clegg'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 Clegg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Clegg more than expected).

Fields of papers citing papers by Tom Clegg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Clegg. 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 Clegg. The network helps show where Tom Clegg may publish in the future.

Co-authorship network of co-authors of Tom Clegg

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

All Works

10 of 10 papers shown
1.
Clegg, Tom & Thilo Groß. (2025). Cross-feeding creates tipping points in microbiome diversity. Proceedings of the National Academy of Sciences. 122(19). e2425603122–e2425603122. 1 indexed citations
2.
Smith, Tom, Tom Clegg, Emma Ransome, et al.. (2024). High-throughput characterization of bacterial responses to complex mixtures of chemical pollutants. Nature Microbiology. 9(4). 938–948. 19 indexed citations
3.
Clegg, Tom, Joey R. Bernhardt, Tess Nahanni Grainger, et al.. (2024). Toward a More Dynamic Metabolic Theory of Ecology to Predict Climate Change Effects on Biological Systems. The American Naturalist. 205(3). 285–305. 6 indexed citations
4.
Clegg, Tom & Samraat Pawar. (2024). Variation in thermal physiology can drive the temperature-dependence of microbial community richness. eLife. 13. 4 indexed citations
5.
García, Francisca C., et al.. (2023). The temperature dependence of microbial community respiration is amplified by changes in species interactions. Nature Microbiology. 8(2). 272–283. 44 indexed citations
6.
Smith, Tom, Tom Clegg, Thomas Bell, & Samraat Pawar. (2021). Systematic variation in the temperature dependence of bacterial carbon use efficiency. Ecology Letters. 24(10). 2123–2133. 31 indexed citations
7.
Simmons, Benno I., Julia L. Blanchard, Tom Clegg, et al.. (2021). Refocusing multiple stressor research around the targets and scales of ecological impacts. Nature Ecology & Evolution. 5(11). 1478–1489. 82 indexed citations
8.
Clegg, Tom, et al.. (2021). The role of competition versus cooperation in microbial community coalescence. PLoS Computational Biology. 17(11). e1009584–e1009584. 30 indexed citations
9.
Clegg, Tom, et al.. (2018). The impact of intraspecific variation on food web structure. Ecology. 99(12). 2712–2720. 18 indexed citations
10.
Clegg, Tom & M. W. Holdgate. (1970). Antarctic Ecology. Vol. 1.. Journal of Applied Ecology. 7(3). 659–659. 17 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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