Jack F. Kay

506 total citations
20 papers, 402 citations indexed

About

Jack F. Kay is a scholar working on Food Science, Animal Science and Zoology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jack F. Kay has authored 20 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Food Science, 8 papers in Animal Science and Zoology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jack F. Kay's work include Pesticide Residue Analysis and Safety (11 papers), Pharmacological Effects and Assays (8 papers) and Hormonal and reproductive studies (6 papers). Jack F. Kay is often cited by papers focused on Pesticide Residue Analysis and Safety (11 papers), Pharmacological Effects and Assays (8 papers) and Hormonal and reproductive studies (6 papers). Jack F. Kay collaborates with scholars based in United Kingdom, United States and Belgium. Jack F. Kay's co-authors include Mark Hows, David I. Perrett, James Scarth, Matthew Sharman, P. Teale, James D. MacNeil, J. A. Tarbin, Bruno Le Bizec, Sara Stead and Brendan J. Keely and has published in prestigious journals such as Analytical Chemistry, Journal of Agricultural and Food Chemistry and Journal of Chromatography A.

In The Last Decade

Jack F. Kay

17 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack F. Kay United Kingdom 11 118 98 97 97 91 20 402
Henri H. Heskamp Netherlands 13 118 1.0× 127 1.3× 90 0.9× 104 1.1× 52 0.6× 19 406
Decheng Suo China 14 83 0.7× 96 1.0× 17 0.2× 82 0.8× 57 0.6× 42 400
Carolin S. Stachel Germany 12 69 0.6× 164 1.7× 29 0.3× 275 2.8× 45 0.5× 20 472
H. Hooijerink Netherlands 16 191 1.6× 209 2.1× 103 1.1× 260 2.7× 82 0.9× 21 622
Agostino Macrı̀ Italy 7 105 0.9× 220 2.2× 24 0.2× 90 0.9× 25 0.3× 10 365
Imelda M. Traynor United Kingdom 14 284 2.4× 189 1.9× 12 0.1× 169 1.7× 179 2.0× 21 590
Edward Malone Ireland 14 49 0.4× 250 2.6× 59 0.6× 300 3.1× 44 0.5× 19 614
Yawen Guo China 11 136 1.2× 82 0.8× 11 0.1× 81 0.8× 77 0.8× 36 337
Monique Bienenmann-Ploum Netherlands 11 149 1.3× 88 0.9× 8 0.1× 59 0.6× 95 1.0× 17 348
L. Kovacsics United Kingdom 5 36 0.3× 133 1.4× 25 0.3× 204 2.1× 29 0.3× 5 405

Countries citing papers authored by Jack F. Kay

Since Specialization
Citations

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

Fields of papers citing papers by Jack F. Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack F. Kay. 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 Jack F. Kay. The network helps show where Jack F. Kay may publish in the future.

Co-authorship network of co-authors of Jack F. Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Jack F. Kay. A scholar is included among the top collaborators of Jack F. Kay 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 Jack F. Kay. Jack F. Kay 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.
Mears, Stephen A., et al.. (2017). Perception of Breakfast Ingestion Enhances High-Intensity Cycling Performance. International Journal of Sports Physiology and Performance. 13(4). 504–509. 23 indexed citations
2.
Kay, Jack F.. (2016). Effective management tools for participants at Codex Committee on Residues of Veterinary Drugs meetings. Drug Testing and Analysis. 8(5-6). 445–447.
3.
Heinrich, Katharina, Danny Chan, Richard J. Fussell, Jack F. Kay, & Matthew Sharman. (2013). Can the unauthorised use of ceftiofur be detected in poultry?. Food Additives & Contaminants Part A. 30(10). 1733–1738. 17 indexed citations
4.
Chan, Danny, Richard J. Fussell, Chris Sinclair, et al.. (2013). Investigation of the Fate of Trifluralin in Shrimp. Journal of Agricultural and Food Chemistry. 61(10). 2371–2377. 14 indexed citations
5.
MacNeil, James D., et al.. (2012). Chemical analysis of antibiotic residues in food. 37 indexed citations
6.
Scarth, James, Jack F. Kay, P. Teale, et al.. (2012). A review of analytical strategies for the detection of ‘endogenous’ steroid abuse in food production. Drug Testing and Analysis. 4(S1). 40–49. 21 indexed citations
7.
Fussell, Richard J., Katharina Heinrich, Michael Dickinson, et al.. (2012). Investigation into the experimental protocols required to determine maximum residue limits (MRLs) in honey. Drug Testing and Analysis. 4(S1). 118–124. 3 indexed citations
8.
9.
Morris, David J., Alison Gray, Jack F. Kay, & G. Gettinby. (2012). EU sampling strategies for the detection of veterinary drug residues in aquaculture species: Are they working?. Drug Testing and Analysis. 4(S1). 1–9. 10 indexed citations
10.
Tarbin, J. A., Dick C. Chan, Jack F. Kay, Matthew Sharman, & R. Schilt. (2012). Identification of markers of compounds with complex MRLs for inclusion in a generic screening method.. 65–71. 1 indexed citations
11.
Wang, Jian, James D. MacNeil, & Jack F. Kay. (2012). CHEMICAL analysis of antibiotics residues in food. 1 indexed citations
12.
13.
Scarth, James, A. Clarke, P. Teale, et al.. (2011). Detection of endogenous steroid abuse in cattle: results from population studies in the UK. Food Additives & Contaminants Part A. 28(1). 44–61. 16 indexed citations
14.
Scarth, James, et al.. (2011). Detection of Nandrolone and Boldenone Abuse in the Ovine by GC–MS–MS. Chromatographia. 73(11-12). 1155–1169. 6 indexed citations
15.
Stead, Sara, Helen Ashwin, Brian H. Johnston, et al.. (2010). An RNA-Aptamer-Based Assay for the Detection and Analysis of Malachite Green and Leucomalachite Green Residues in Fish Tissue. Analytical Chemistry. 82(7). 2652–2660. 83 indexed citations
16.
Scarth, James, et al.. (2010). Validation of an Analytical Biomarker Approach for the Detection of Nandrolone Abuse in the Porcine. Chromatographia. 72(3-4). 297–305. 7 indexed citations
17.
Scarth, James, et al.. (2009). Presence and metabolism of endogenous androgenic–anabolic steroid hormones in meat-producing animals: a review. Food Additives & Contaminants Part A. 26(5). 640–671. 73 indexed citations
18.
Scarth, James, et al.. (2009). Validation of a Quantitative Multi-Residue Urinary Assay for the Detection of Androgen, Oestrogen and Progestagen Abuse in the Bovine. Chromatographia. 71(3-4). 241–252. 20 indexed citations
19.
Hows, Mark, David I. Perrett, & Jack F. Kay. (1997). Optimisation of a simultaneous separation of sulphonamides, dihydrofolate reductase inhibitors and β-lactam antibiotics by capillary electrophoresis. Journal of Chromatography A. 768(1). 97–104. 65 indexed citations
20.
Kay, Jack F.. (1986). Genes and proteins in immunity.. PubMed. 51. 1–235. 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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