Tom W. Pope

1.2k total citations
60 papers, 828 citations indexed

About

Tom W. Pope is a scholar working on Insect Science, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Tom W. Pope has authored 60 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Insect Science, 32 papers in Plant Science and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Tom W. Pope's work include Insect-Plant Interactions and Control (33 papers), Insect and Pesticide Research (21 papers) and Insect Pest Control Strategies (21 papers). Tom W. Pope is often cited by papers focused on Insect-Plant Interactions and Control (33 papers), Insect and Pesticide Research (21 papers) and Insect Pest Control Strategies (21 papers). Tom W. Pope collaborates with scholars based in United Kingdom, Ireland and Zambia. Tom W. Pope's co-authors include John T. Rossiter, Glen Powell, John A. Pickett, Simon R. Leather, Guy M. Poppy, Atle M. Bones, Eleanna Kazana, Alex Stewart‐Jones, Corin F. Pratt and J. Fitzgerald and has published in prestigious journals such as Scientific Reports, Annual Review of Entomology and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Tom W. Pope

55 papers receiving 800 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 W. Pope United Kingdom 16 569 525 218 184 63 60 828
Maurício Ursi Ventura Brazil 15 471 0.8× 537 1.0× 180 0.8× 172 0.9× 91 1.4× 118 831
Yajun Yang China 18 559 1.0× 409 0.8× 146 0.7× 364 2.0× 44 0.7× 63 857
J. L. Bi United States 12 685 1.2× 722 1.4× 203 0.9× 247 1.3× 108 1.7× 24 1.1k
Júlio Cláudio Martins Brazil 16 685 1.2× 598 1.1× 132 0.6× 283 1.5× 89 1.4× 39 914
Mari Inês Caríssimi Boff Brazil 12 490 0.9× 564 1.1× 149 0.7× 217 1.2× 45 0.7× 117 773
J. H. Tolman Canada 15 556 1.0× 417 0.8× 104 0.5× 239 1.3× 51 0.8× 34 685
Carmelo Rapisarda Italy 18 995 1.7× 1.0k 2.0× 288 1.3× 325 1.8× 130 2.1× 70 1.5k
S. M. Greenberg United States 19 938 1.6× 753 1.4× 205 0.9× 437 2.4× 116 1.8× 70 1.2k
Silvia I. Rondon United States 21 997 1.8× 924 1.8× 265 1.2× 378 2.1× 125 2.0× 107 1.5k
Arturo Cocco Italy 17 598 1.1× 406 0.8× 194 0.9× 131 0.7× 108 1.7× 38 788

Countries citing papers authored by Tom W. Pope

Since Specialization
Citations

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

Fields of papers citing papers by Tom W. Pope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom W. Pope

This figure shows the co-authorship network connecting the top 25 collaborators of Tom W. Pope. A scholar is included among the top collaborators of Tom W. Pope 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 W. Pope. Tom W. Pope 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
3.
Karley, Alison J., et al.. (2024). The clip cage conundrum: Assessing the interplay of confinement method and aphid genotype in fitness studies. Insect Science. 31(5). 1591–1602. 5 indexed citations
4.
Bruce, Toby J. A., et al.. (2024). ‘The Garlic Gambit’: an alternative strategy for controlling vine weevil (Otiorhynchus sulcatus F.; Coleoptera: Curculionidae). Journal of Economic Entomology. 117(5). 1968–1976.
5.
Azevedo, Ricardo Antunes, et al.. (2024). Special issue on entomology: A tribute to Prof. Simon R. Leather. Annals of Applied Biology. 185(2). 120–123. 2 indexed citations
6.
Campbell, Heather, et al.. (2023). Assessing the potential of biopesticides to control the cabbage stem flea beetle Psylliodes chrysocephala. Pest Management Science. 80(5). 2471–2479. 2 indexed citations
7.
Bruce, Toby J. A., et al.. (2023). Decoding attraction: Improving vine weevil monitoring by exploiting key sensory cues. Pest Management Science. 79(11). 4635–4643. 1 indexed citations
8.
Pope, Tom W., et al.. (2023). Exploiting volatile organic compounds in crop protection: A systematic review of 1‐octen‐3‐ol and 3‐octanone. Annals of Applied Biology. 183(2). 121–134. 10 indexed citations
9.
Bruce, Toby J. A., et al.. (2022). Optimising Vine Weevil, Otiorhynchus sulcatus F. (Coleoptera: Curculionidae), Monitoring Tool Design. Insects. 13(1). 80–80. 5 indexed citations
10.
Pope, Tom W., et al.. (2021). Effect of host plant on the life history of the carnation tortrix moth Cacoecimorpha pronubana (Lepidoptera: Tortricidae). Harper Adams University Repository (GuildHE Research). 2 indexed citations
11.
Subramanian, Sevgan, et al.. (2021). Mating behaviour, mate choice and female resistance in the bean flower thrips (Megalurothrips sjostedti). Scientific Reports. 11(1). 14504–14504. 4 indexed citations
12.
Pope, Tom W., et al.. (2020). Could bacterial associations determine the success of weevil species?. Annals of Applied Biology. 178(1). 51–61. 6 indexed citations
13.
Cherrill, Andrew, et al.. (2017). Factors affecting trap catch in pheromone‐based monitoring of saddle gall midge Haplodiplosis marginata (Diptera: Cecidomyiidae). Pest Management Science. 74(2). 406–412. 5 indexed citations
14.
Cherrill, Andrew, et al.. (2017). Degree-day based phenological forecasting model of saddle gall midge ( Haplodiplosis marginata ) (Diptera: Cecidomyiidae) emergence. Crop Protection. 102. 154–160. 4 indexed citations
15.
Pope, Tom W., et al.. (2017). Development and optimisation of a sex pheromone lure for monitoring populations of saddle gall midge, Haplodiplosis marginata. Entomologia Experimentalis et Applicata. 163(1). 82–92. 9 indexed citations
16.
Kissen, Ralph, Tom W. Pope, Murray Grant, et al.. (2009). Modifying the Alkylglucosinolate Profile in Arabidopsis thaliana Alters the Tritrophic Interaction with the Herbivore Brevicoryne brassicae and Parasitoid Diaeretiella rapae. Journal of Chemical Ecology. 35(8). 958–969. 17 indexed citations
17.
Pope, Tom W., Ralph Kissen, Murray Grant, et al.. (2008). Comparative Innate Responses of the Aphid Parasitoid Diaeretiella rapae to Alkenyl Glucosinolate Derived Isothiocyanates, Nitriles, and Epithionitriles. Journal of Chemical Ecology. 34(10). 1302–1310. 36 indexed citations
18.
Pratt, Corin F., Tom W. Pope, Glen Powell, & John T. Rossiter. (2008). Accumulation of Glucosinolates by the Cabbage Aphid Brevicoryne brassicae as a Defense Against Two Coccinellid Species. Journal of Chemical Ecology. 34(3). 323–329. 54 indexed citations
19.
Fitzgerald, J., et al.. (2007). Interactions among phytophagous mites, and introduced and naturally occurring predatory mites, on strawberry in the UK. Experimental and Applied Acarology. 43(1). 33–47. 21 indexed citations
20.
Campbell, C. A. M., et al.. (2003). Responses of the Aphids Phorodon humuli and Rhopalosiphum padi to Sex Pheromone Stereochemistry in the Field. Journal of Chemical Ecology. 29(10). 2225–2234. 15 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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