Jack F. Kay

46 total papers · 505 total citations
20 papers, 401 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 401 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, James D. MacNeil, P. Teale, J. A. Tarbin, Bruno Le Bizec, Brian H. Johnston and Helen Ashwin 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jack F. Kay 118 98 97 97 91 20 401
Henri H. Heskamp 118 1.0× 126 1.3× 89 0.9× 104 1.1× 52 0.6× 19 405
E.O. van Bennekom 86 0.7× 162 1.7× 130 1.3× 161 1.7× 18 0.2× 13 372
Nora Cesbron 157 1.3× 161 1.6× 198 2.0× 126 1.3× 22 0.2× 24 443
Defu Zhang 151 1.3× 78 0.8× 11 0.1× 85 0.9× 24 0.3× 28 430
Agostino Macrı̀ 105 0.9× 220 2.2× 24 0.2× 90 0.9× 25 0.3× 10 365
Deborah S. Tsang 41 0.3× 143 1.5× 108 1.1× 74 0.8× 9 0.1× 17 394
Rocío Barreiro 91 0.8× 26 0.3× 21 0.2× 83 0.9× 71 0.8× 24 417
Monique Bienenmann-Ploum 149 1.3× 87 0.9× 7 0.1× 59 0.6× 95 1.0× 17 347
Sanhu Wang 111 0.9× 50 0.5× 11 0.1× 36 0.4× 29 0.3× 19 420
William H. H. Farrington 95 0.8× 119 1.2× 11 0.1× 163 1.7× 41 0.5× 12 404

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

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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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