David Garthwaite

1.0k total citations · 1 hit paper
24 papers, 713 citations indexed

About

David Garthwaite is a scholar working on Insect Science, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David Garthwaite has authored 24 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Insect Science, 10 papers in Plant Science and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David Garthwaite's work include Insect and Pesticide Research (9 papers), Pesticide Exposure and Toxicity (7 papers) and Insect-Plant Interactions and Control (7 papers). David Garthwaite is often cited by papers focused on Insect and Pesticide Research (9 papers), Pesticide Exposure and Toxicity (7 papers) and Insect-Plant Interactions and Control (7 papers). David Garthwaite collaborates with scholars based in United Kingdom, Malaysia and Canada. David Garthwaite's co-authors include Andrew Crowe, Nick J. B. Isaac, Richard F. Pywell, David B. Roy, Ben A. Woodcock, James M. Bullock, Colin D. Brown, Carmel Ramwell, Giles E. Budge and M. R. Fletcher and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David Garthwaite

22 papers receiving 691 citations

Hit Papers

Impacts of neonicotinoid use on long-term population chan... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Garthwaite United Kingdom 13 472 373 246 180 85 24 713
Suresh Raina Kenya 15 562 1.2× 393 1.1× 332 1.3× 159 0.9× 96 1.1× 38 857
Lennard Pisa United Kingdom 6 958 2.0× 615 1.6× 505 2.1× 230 1.3× 61 0.7× 6 1.1k
Louis Hautier Belgium 14 603 1.3× 365 1.0× 214 0.9× 212 1.2× 189 2.2× 28 796
George Ong’amo Kenya 19 739 1.6× 239 0.6× 280 1.1× 522 2.9× 107 1.3× 63 1.2k
Douglas B. Sponsler United States 16 630 1.3× 700 1.9× 473 1.9× 170 0.9× 133 1.6× 25 907
Silvio Knäbe Germany 5 545 1.2× 444 1.2× 316 1.3× 98 0.5× 33 0.4× 9 634
Roger E. Gold United States 19 467 1.0× 549 1.5× 574 2.3× 265 1.5× 117 1.4× 104 1.2k
A. K. Murchie United Kingdom 20 449 1.0× 431 1.2× 67 0.3× 410 2.3× 127 1.5× 69 1.0k
Betina Blochtein Brazil 20 966 2.0× 1.0k 2.7× 564 2.3× 231 1.3× 46 0.5× 85 1.2k

Countries citing papers authored by David Garthwaite

Since Specialization
Citations

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

Fields of papers citing papers by David Garthwaite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Garthwaite

This figure shows the co-authorship network connecting the top 25 collaborators of David Garthwaite. A scholar is included among the top collaborators of David Garthwaite 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 David Garthwaite. David Garthwaite 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.
Garthwaite, David, et al.. (2024). Assessment of rice growers’ exposure to pesticides applied in Kelantan, Malaysia. SHILAP Revista de lepidopterología. 131. 3008–3008.
2.
Cook, S. K., et al.. (2023). Herbicide resistance in Alopecurus myosuroides : The value of routine testing of seed samples submitted by farmers since 1985. Weed Research. 63(6). 339–347. 1 indexed citations
3.
Lewis, Kathleen, et al.. (2021). Application of the Danish pesticide load indicator to arable agriculture in the United Kingdom. Journal of Environmental Quality. 50(5). 1110–1122. 6 indexed citations
4.
Kennedy, Marc C., David Garthwaite, Waldo J. de Boer, & Johannes W. Kruisselbrink. (2019). Modelling aggregate exposure to pesticides from dietary and crop spray sources in UK residents. Environmental Science and Pollution Research. 26(10). 9892–9907. 13 indexed citations
5.
Lennon, Rosie J., Nick J. B. Isaac, Richard F. Shore, et al.. (2019). Using long-term datasets to assess the impacts of dietary exposure to neonicotinoids on farmland bird populations in England. PLoS ONE. 14(10). e0223093–e0223093. 14 indexed citations
6.
Garthwaite, David, et al.. (2018). Assessment of occupational exposure to pesticide mixtures with endocrine-disrupting activity. Environmental Science and Pollution Research. 26(2). 1642–1653. 12 indexed citations
7.
Garthwaite, David, et al.. (2017). Assessment of exposure of professional agricultural operators to pesticides. The Science of The Total Environment. 619-620. 874–882. 27 indexed citations
8.
Breeze, Tom D., et al.. (2017). Arthropod Pest Control for UK Oilseed Rape – Comparing Insecticide Efficacies, Side Effects and Alternatives. PLoS ONE. 12(1). e0169475–e0169475. 27 indexed citations
9.
Garthwaite, David, et al.. (2017). How does exposure to pesticides vary in space and time for residents living near to treated orchards?. Environmental Science and Pollution Research. 24(34). 26444–26461. 12 indexed citations
10.
Woodcock, Ben A., Nick J. B. Isaac, James M. Bullock, et al.. (2016). Impacts of neonicotinoid use on long-term population changes in wild bees in England. Nature Communications. 7(1). 12459–12459. 370 indexed citations breakdown →
11.
Budge, Giles E., David Garthwaite, Andrew Crowe, et al.. (2015). Evidence for pollinator cost and farming benefits of neonicotinoid seed coatings on oilseed rape. Scientific Reports. 5(1). 12574–12574. 64 indexed citations
12.
Kennedy, Marc C., C. R. Glass, Bas Bokkers, et al.. (2014). A European model and case studies for aggregate exposure assessment of pesticides. Food and Chemical Toxicology. 79. 32–44. 26 indexed citations
13.
Boatman, N. D., et al.. (2010). Implementation of Environmental Stewardship options - additionality and compliance.. Aspects of applied biology. 271–278. 2 indexed citations
14.
Mineau, Pierre, et al.. (2008). Using Reports of Bee Mortality in the Field to Calibrate Laboratory-Derived Pesticide Risk Indices. Environmental Entomology. 37(2). 546–554. 26 indexed citations
15.
Mineau, Pierre, et al.. (2008). Using Reports of Bee Mortality in the Field to Calibrate Laboratory-Derived Pesticide Risk Indices. Environmental Entomology. 37(2). 546–554. 21 indexed citations
16.
17.
Garthwaite, David. (2000). Changes in Biological Control Usage in Great Britain Between 1968 and 1995 with Particular Reference to Biological Control on Tomato Crops. Biocontrol Science and Technology. 10(4). 451–457. 7 indexed citations
18.
Wall, C., et al.. (1987). The efficacy of sex‐attractant monitoring for the pea moth, Cydia nigricana, in England, 1980–1985. Annals of Applied Biology. 110(2). 223–229. 8 indexed citations
19.
Wall, C., et al.. (1985). A female sex‐pheromone in the pea midge, Contarinia pisi. Entomologia Experimentalis et Applicata. 39(1). 11–14. 10 indexed citations
20.
Macaulay, E. D. M., et al.. (1985). Prediction of optimum spraying dates against pea moth, Cydia nigricana (F.), using pheromone traps and temperature measurements. Crop Protection. 4(1). 85–98. 18 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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