J. Cotterill

521 total citations
18 papers, 403 citations indexed

About

J. Cotterill is a scholar working on Immunology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, J. Cotterill has authored 18 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 4 papers in Plant Science and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in J. Cotterill's work include Aquaculture disease management and microbiota (4 papers), Computational Drug Discovery Methods (3 papers) and Insect and Pesticide Research (3 papers). J. Cotterill is often cited by papers focused on Aquaculture disease management and microbiota (4 papers), Computational Drug Discovery Methods (3 papers) and Insect and Pesticide Research (3 papers). J. Cotterill collaborates with scholars based in United Kingdom, Spain and Netherlands. J. Cotterill's co-authors include Richard M. Wilkins, David P. Cowan, Richard W. Watkins, Qasim Chaudhry, Geert Cornelis, Denise M. Mitrano, Bernd Nowack, Andreas Gondikas, Jamie R. Lead and Frank von der Kammer and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Controlled Release and Food and Chemical Toxicology.

In The Last Decade

J. Cotterill

17 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Cotterill United Kingdom 12 105 97 86 81 45 18 403
Savita Kerkar India 16 42 0.4× 88 0.9× 99 1.2× 58 0.7× 184 4.1× 44 672
Ivan Sazykin Russia 14 231 2.2× 31 0.3× 60 0.7× 38 0.5× 178 4.0× 51 588
Keshav Singh India 14 45 0.4× 46 0.5× 167 1.9× 18 0.2× 43 1.0× 56 511
María José López Barragán Spain 11 255 2.4× 54 0.6× 127 1.5× 71 0.9× 392 8.7× 17 888
Muhammad Ammar Javed Pakistan 13 59 0.6× 82 0.8× 431 5.0× 45 0.6× 72 1.6× 33 624
Mohd Faheem Khan Ireland 14 91 0.9× 38 0.4× 128 1.5× 65 0.8× 164 3.6× 39 520
Marta Filipa Simões Macao 15 35 0.3× 139 1.4× 135 1.6× 82 1.0× 161 3.6× 33 657
Philippe Ruiz France 13 156 1.5× 28 0.3× 38 0.4× 33 0.4× 94 2.1× 25 478
Amit Srivastava India 14 80 0.8× 76 0.8× 165 1.9× 59 0.7× 220 4.9× 50 637
Javiera Norambuena United States 12 27 0.3× 44 0.5× 33 0.4× 85 1.0× 130 2.9× 26 383

Countries citing papers authored by J. Cotterill

Since Specialization
Citations

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

Fields of papers citing papers by J. Cotterill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Cotterill

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

All Works

18 of 18 papers shown
1.
Cotterill, J., N.R. Price, Emiel Rorije, & Ad Peijnenburg. (2020). Development of a QSAR model to predict hepatic steatosis using freely available machine learning tools. Food and Chemical Toxicology. 142. 111494–111494. 15 indexed citations
2.
Cotterill, J., Luca Palazzolo, N.R. Price, et al.. (2019). Predicting estrogen receptor binding of chemicals using a suite of in silico methods – Complementary approaches of (Q)SAR, molecular docking and molecular dynamics. Toxicology and Applied Pharmacology. 378. 114630–114630. 27 indexed citations
3.
Cotterill, J., et al.. (2019). Euromix Deliverable 2.2. Report on the use of in-silico methods for the prioritisation of substances and mixtures thereof. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
4.
Prado-Álvarez, María, Sharon A. Lynch, Adam Kane, et al.. (2015). Oral immunostimulation of the oyster Ostrea edulis: Impacts on the parasite Bonamia ostreae. Fish & Shellfish Immunology. 45(1). 43–51. 19 indexed citations
5.
Nowack, Bernd, Mohammed Baalousha, Nikolaus A. Bornhöft, et al.. (2015). Progress towards the validation of modeled environmental concentrations of engineered nanomaterials by analytical measurements. Environmental Science Nano. 2(5). 421–428. 102 indexed citations
6.
7.
Maloy, Aaron P., et al.. (2014). Tissue targeting of the European flat oyster, Ostrea edulis, using microencapsulated microbeads as a biological proxy. Aquaculture International. 23(2). 647–659. 6 indexed citations
8.
Richards, Elaine H., et al.. (2014). Novel control methods for insect pests: development of a microencapsulation procedure for proteinaceous bioactives intended for oral delivery. Pest Management Science. 71(9). 1238–1246. 5 indexed citations
9.
Fajardo, Paula, et al.. (2013). Mitigation of pathogens and marine biotoxins contamination in shellfish. WIT transactions on the built environment. 1. 691–698. 1 indexed citations
10.
Chaudhry, Qasim, Nadège Piclin, J. Cotterill, et al.. (2010). Global QSAR models of skin sensitisers for regulatory purposes. Chemistry Central Journal. 4(S1). S5–S5. 53 indexed citations
11.
Cotterill, J., M. Q. Chaudhry, Wendy A. Matthews, & Richard W. Watkins. (2008). In silico assessment of toxicity of heat-generated food contaminants. Food and Chemical Toxicology. 46(6). 1905–1918. 17 indexed citations
12.
Massei, Giovanna, et al.. (2007). Can Batesian mimicry help plants to deter herbivores?. Pest Management Science. 63(6). 559–563. 12 indexed citations
13.
Cotterill, J., et al.. (2006). Boosting silica levels in wheat leaves reduces grazing by rabbits. Pest Management Science. 63(3). 247–253. 45 indexed citations
14.
Cotterill, J., Giovanna Massei, & David P. Cowan. (2005). Masking the taste of the conditioned taste aversion agent levamisole using an ion‐exchange resin, for practical application in wildlife management. Pest Management Science. 62(2). 120–125. 13 indexed citations
15.
Cotterill, J., et al.. (2004). Improving the persistence of a formulation of the avian repellent cinnamamide, for the protection of autumn‐sown oilseed rape. Pest Management Science. 60(10). 1019–1024. 4 indexed citations
16.
Cotterill, J. & Richard M. Wilkins. (1996). Controlled Release of Phenylurea Herbicides from a Lignin Matrix:  Release Kinetics and Modification with Urea. Journal of Agricultural and Food Chemistry. 44(9). 2908–2912. 23 indexed citations
17.
Cotterill, J., et al.. (1996). Controlled release of diuron from granules based on a lignin matrix system. Journal of Controlled Release. 40(1-2). 133–142. 41 indexed citations
18.
Cotterill, J. & K. Sivasithamparam. (1988). Effect of sowing date on take-all of wheat in Western Australia.. Phytophylactica. 20(1). 11–14. 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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