Tom R. Bishop

1.9k total citations
30 papers, 895 citations indexed

About

Tom R. Bishop is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Ecological Modeling. According to data from OpenAlex, Tom R. Bishop has authored 30 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Ecology, Evolution, Behavior and Systematics, 26 papers in Genetics and 9 papers in Ecological Modeling. Recurrent topics in Tom R. Bishop's work include Insect and Arachnid Ecology and Behavior (26 papers), Plant and animal studies (24 papers) and Animal Behavior and Reproduction (12 papers). Tom R. Bishop is often cited by papers focused on Insect and Arachnid Ecology and Behavior (26 papers), Plant and animal studies (24 papers) and Animal Behavior and Reproduction (12 papers). Tom R. Bishop collaborates with scholars based in United Kingdom, South Africa and Australia. Tom R. Bishop's co-authors include Catherine L. Parr, Mark P. Robertson, Berndt J. van Rensburg, Heloise Gibb, Sarah H. Luke, Stefan H. Foord, Thinandavha C. Munyai, Victoria Werenkraut, Alan N. Andersen and Steven L. Chown and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Ecology.

In The Last Decade

Tom R. Bishop

29 papers receiving 880 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 R. Bishop United Kingdom 16 625 522 319 242 209 30 895
Victoria Werenkraut Argentina 13 420 0.7× 357 0.7× 218 0.7× 185 0.8× 143 0.7× 30 656
Dirk Zeuss Germany 12 438 0.7× 224 0.4× 303 0.9× 436 1.8× 316 1.5× 30 843
Maartje Liefting Netherlands 9 427 0.7× 261 0.5× 219 0.7× 208 0.9× 329 1.6× 13 781
Karl A. Roeder United States 14 409 0.7× 363 0.7× 127 0.4× 112 0.5× 196 0.9× 38 665
Lacy D. Chick United States 15 451 0.7× 386 0.7× 95 0.3× 235 1.0× 302 1.4× 23 725
Milan Janda Czechia 18 1.0k 1.7× 569 1.1× 653 2.0× 314 1.3× 312 1.5× 33 1.4k
Oliver Mitesser Germany 16 495 0.8× 323 0.6× 168 0.5× 79 0.3× 211 1.0× 70 851
Enrique García‐Barros Spain 20 896 1.4× 506 1.0× 665 2.1× 582 2.4× 316 1.5× 68 1.4k
Chris J. Burwell Australia 18 641 1.0× 263 0.5× 265 0.8× 242 1.0× 354 1.7× 65 951
Kirsten M. Prior United States 13 408 0.7× 212 0.4× 357 1.1× 175 0.7× 325 1.6× 34 789

Countries citing papers authored by Tom R. Bishop

Since Specialization
Citations

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

Fields of papers citing papers by Tom R. Bishop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom R. Bishop

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

All Works

20 of 20 papers shown
1.
Leahy, Lily, Steven L. Chown, Ian J. Wright, et al.. (2025). Metabolic traits are shaped by phylogenetic conservatism and environment, not just body size. Proceedings of the National Academy of Sciences. 122(29). e2501541122–e2501541122. 1 indexed citations
2.
3.
Tercel, Maximillian P. T. G., et al.. (2025). Threatened endemic arthropods and vertebrates partition their diets with non‐native ants in an isolated island ecosystem. Ecology. 106(7). e70158–e70158. 1 indexed citations
4.
Plowman, Nichola S., et al.. (2024). Forest disturbance increases functional diversity but decreases phylogenetic diversity of an arboreal tropical ant community. Journal of Animal Ecology. 93(4). 501–516. 5 indexed citations
5.
Bishop, Tom R., et al.. (2023). A simple method to account for thermal boundary layers during the estimation of CTmax in small ectotherms. Journal of Thermal Biology. 116. 103673–103673. 1 indexed citations
6.
Bishop, Tom R., Catherine L. Parr, Antônio C. M. Queiroz, et al.. (2023). Testing the context dependence of ant nutrient preference across habitat strata and trophic levels in Neotropical biomes. Ecology. 104(4). e3975–e3975. 9 indexed citations
7.
Bishop, Tom R., et al.. (2023). Using computer vision to understand the global biogeography of ant color. Ecography. 2023(3). 5 indexed citations
8.
Parr, Catherine L. & Tom R. Bishop. (2022). The response of ants to climate change. Global Change Biology. 28(10). 3188–3205. 79 indexed citations
9.
Gibb, Heloise, Tom R. Bishop, Lily Leahy, et al.. (2022). Ecological strategies of (pl)ants: Towards a world‐wide worker economic spectrum for ants. Functional Ecology. 37(1). 13–25. 24 indexed citations
10.
11.
Bishop, Tom R., et al.. (2021). Geographical variation in ant foraging activity and resource use is driven by climate and net primary productivity. Journal of Biogeography. 48(6). 1448–1459. 19 indexed citations
12.
Klimeš, Petr, Tom R. Bishop, Tom M. Fayle, & Shuang Xing. (2021). Reported climate change impacts on cloud forest ants are driven by sampling bias: A critical evaluation of Warne et al. (2020). Biotropica. 53(4). 982–986. 1 indexed citations
13.
Bishop, Tom R., et al.. (2020). Elevational gradients of reptile richness in the southern Western Ghats of India: Evaluating spatial and bioclimatic drivers. Biotropica. 53(1). 317–328. 5 indexed citations
14.
Boyle, Michael J. W., Tom R. Bishop, Sarah H. Luke, et al.. (2020). Localised climate change defines ant communities in human‐modified tropical landscapes. Functional Ecology. 35(5). 1094–1108. 37 indexed citations
15.
Bishop, Tom R., et al.. (2019). Darker ants dominate the canopy: Testing macroecological hypotheses for patterns in colour along a microclimatic gradient. Journal of Animal Ecology. 89(2). 347–359. 50 indexed citations
16.
Bishop, Tom R., Catherine L. Parr, Heloise Gibb, et al.. (2019). Thermoregulatory traits combine with range shifts to alter the future of montane ant assemblages. Global Change Biology. 25(6). 2162–2173. 17 indexed citations
17.
Robertson, Mark P., et al.. (2019). Low levels of intraspecific trait variation in a keystone invertebrate group. Oecologia. 190(4). 725–735. 28 indexed citations
18.
Joseph, Grant S., et al.. (2019). Stability of Afromontane ant diversity decreases across an elevation gradient. Global Ecology and Conservation. 17. e00596–e00596. 10 indexed citations
19.
Gibb, Heloise, Nathan J. Sanders, Robert R. Dunn, et al.. (2017). Habitat disturbance selects against both small and large species across varying climates. Ecography. 41(7). 1184–1193. 53 indexed citations
20.
Májeková, Maria, Taavi Paal, Nichola S. Plowman, et al.. (2016). Evaluating Functional Diversity: Missing Trait Data and the Importance of Species Abundance Structure and Data Transformation. PLoS ONE. 11(2). e0149270–e0149270. 100 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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