S. M. Cook

4.5k total citations · 1 hit paper
78 papers, 3.2k citations indexed

About

S. M. Cook is a scholar working on Insect Science, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, S. M. Cook has authored 78 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Insect Science, 33 papers in Plant Science and 23 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in S. M. Cook's work include Insect and Pesticide Research (36 papers), Insect-Plant Interactions and Control (32 papers) and Plant and animal studies (18 papers). S. M. Cook is often cited by papers focused on Insect and Pesticide Research (36 papers), Insect-Plant Interactions and Control (32 papers) and Plant and animal studies (18 papers). S. M. Cook collaborates with scholars based in United Kingdom, United States and Germany. S. M. Cook's co-authors include John A. Pickett, Zeyaur R. Khan, I. H. Williams, D. A. Murray, Charles W. LeBaron, Roger I. Glass, Ming‐sho Ho, Ashley Fowlkes, M. P. Skellern and N. P. Watts and has published in prestigious journals such as PLoS ONE, Ecology and The Science of The Total Environment.

In The Last Decade

S. M. Cook

75 papers receiving 3.1k citations

Hit Papers

The Use of Push-Pull Strategies in Integrated Pest Manage... 2006 2026 2012 2019 2006 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. M. Cook United Kingdom 23 1.9k 1.4k 888 413 392 78 3.2k
Michael J. Brewer United States 28 1.7k 0.9× 1.6k 1.2× 590 0.7× 521 1.3× 429 1.1× 144 3.3k
Laura M. Boykin Australia 31 2.7k 1.4× 2.3k 1.7× 628 0.7× 1.0k 2.5× 382 1.0× 59 4.3k
Robert K. D. Peterson United States 30 1.1k 0.6× 1.3k 1.0× 396 0.4× 552 1.3× 180 0.5× 147 2.8k
Philip J. McCall United Kingdom 43 1.8k 0.9× 1.9k 1.4× 679 0.8× 756 1.8× 377 1.0× 153 6.2k
Ortrud Monika Barth Brazil 32 2.0k 1.1× 559 0.4× 1.7k 1.9× 395 1.0× 184 0.5× 232 4.1k
T.A. Jackson New Zealand 28 1.9k 1.0× 1.1k 0.8× 361 0.4× 1.3k 3.1× 386 1.0× 162 3.2k
Guiyun Yan United States 46 848 0.4× 967 0.7× 432 0.5× 532 1.3× 610 1.6× 144 6.0k
Gregor J. Devine Australia 42 2.4k 1.3× 1.9k 1.4× 305 0.3× 1000 2.4× 323 0.8× 171 5.1k
John M. Kean New Zealand 23 1.3k 0.7× 471 0.3× 626 0.7× 133 0.3× 866 2.2× 86 2.1k
Colin Dale United States 29 1.9k 1.0× 615 0.4× 423 0.5× 809 2.0× 370 0.9× 52 3.1k

Countries citing papers authored by S. M. Cook

Since Specialization
Citations

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

Fields of papers citing papers by S. M. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. M. Cook. 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 S. M. Cook. The network helps show where S. M. Cook may publish in the future.

Co-authorship network of co-authors of S. M. Cook

This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Cook. A scholar is included among the top collaborators of S. M. Cook 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 S. M. Cook. S. M. Cook 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.
Loveridge, E. Joel, et al.. (2025). Semiochemical applications for managing the grey field slug ( Deroceras reticulatum Müller), a major pest of arable crops. Pest Management Science. 81(11). 7288–7301.
2.
Hood, Thomas, et al.. (2024). Identifying insect predators using camera traps reveal unexpected predator communities in oilseed rape fields. Biological Control. 198. 105636–105636. 1 indexed citations
3.
4.
Cook, S. M., et al.. (2024). Bugs and bytes: Entomological biomonitoring through the integration of deep learning and molecular analysis for merged community and network analysis. Agricultural and Forest Entomology. 27(1). 35–49. 2 indexed citations
6.
Coston, Duncan J., Suzanne J. Clark, Tom D. Breeze, et al.. (2023). Quantifying the impact of Psylliodes chrysocephala injury on the productivity of oilseed rape. Pest Management Science. 80(5). 2383–2392. 5 indexed citations
7.
Sigsgaard, Lene, et al.. (2023). Dynamics of pollen beetle (Brassicogethes aeneus) immigration and colonization of oilseed rape (Brassica napus) in Europe. Pest Management Science. 80(5). 2306–2313. 2 indexed citations
8.
Baverstock, J., et al.. (2014). Field margins for biocontrol and biodiversity across crop rotations: overview of the aims and approaches of Defra project IF01122. Rothamsted Repository (Rothamsted Repository). 2 indexed citations
9.
Kaasik, Riina, N. P. Watts, D. A. Murray, Eve Veromann, & S. M. Cook. (2013). Effects of monitoring position and time of day on pollen beetle numbers in crops of oilseed rape. Rothamsted Repository (Rothamsted Repository). 3 indexed citations
10.
Ferguson, A. W., et al.. (2013). Comparing the performance of two decision-support systems for management of pollen beetles in oilseed rape in the UK. Rothamsted Repository (Rothamsted Repository). 1 indexed citations
11.
Cook, S. M., et al.. (2012). Are agronomic practices favouring certain brome species?. Rothamsted Repository (Rothamsted Repository). 1 indexed citations
12.
Orson, J., et al.. (2011). The impact of close rotation systems on the performance of oilseed rape.. Aspects of applied biology. 209–212. 3 indexed citations
13.
Orson, J., et al.. (2011). Feedback from the EPPO Septoria tritici azole resistance workshop 2010.. Aspects of applied biology. 97–101. 2 indexed citations
14.
Cook, S. M., et al.. (2006). Determining the sex of insect pests of oilseed rape for behavioural bioassays. Rothamsted Repository (Rothamsted Repository). 10 indexed citations
15.
Cook, S. M., D. A. Murray, N. P. Watts, & I. H. Williams. (2005). Responses of pollen beetles (Meligethes aeneus) to conspecific odours. Rothamsted Repository (Rothamsted Repository). 4 indexed citations
16.
Cook, S. M., N. P. Watts, Fiona F. Hunter, Lesley E. Smart, & I. H. Williams. (2004). Effects of a turnip rape trap crop on the spatial distribution of Meligethes aeneus and Ceutorhynchus assimilis in oilseed rape. Rothamsted Repository (Rothamsted Repository). 16 indexed citations
17.
Cook, S. M., et al.. (2004). Rearing and identification of the larval parasitoids of Psylliodes chrysocephala and Ceutorhynchus pallidactylus from field-collected specimens. Rothamsted Repository (Rothamsted Repository). 5 indexed citations
18.
Cook, S. M., Lesley E. Smart, E. Bartlet, et al.. (2002). Turnip rape (Brassica rapa) as a trap crop to protect oilseed rape (Brassica napus) from infestation by insect pests: potential and mechanisms of action. Rothamsted Repository (Rothamsted Repository). 7 indexed citations
19.
Bell, R.W., et al.. (2000). A system to reduce risk in the adoption of new rice production technologies in Cambodia. Murdoch Research Repository (Murdoch University). 2 indexed citations
20.
Cook, S. M., D. A. Murray, & I. H. Williams. (1999). Pollen beetle, Meligethes aeneus Fabricius, incidence in the composite hybrid winter oilseed rape, Synergy. Rothamsted Repository (Rothamsted Repository). 1 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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