Jack F. Kay
- Molecular Biology
- Animal Science and Zoology top 5%
- Endocrinology, Diabetes and Metabolism
- Food Science top 10%
- Biomedical Engineering
- Co-authors
- Mark HowsDavid I. PerrettJames ScarthMatthew SharmanP. TealeJames D. MacNeilBruno Le BizecJ. A. Tarbin
- Topics
- Pesticide Residue Analysis and Safety (11 papers)Pharmacological Effects and Assays (8 papers)Hormonal and reproductive studies (6 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Jack F. Kay
17 papers receiving 387 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 118
- Animal Science and Zoology 98
- Endocrinology, Diabetes and Metabolism 97
- Food Science 97
- Biomedical Engineering 91
Countries citing papers authored by Jack F. Kay
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 0 | |
| 3 | 17 | |
| 4 | 14 | |
| 5 | Chemical analysis of antibiotic residues in food | 37 |
| 6 | 21 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | Identification of markers of compounds with complex MRLs for inclusion in a generic screening method. | 1 |
| 10 | 0 | |
| 11 | CHEMICAL analysis of antibiotics residues in food | 1 |
| 12 | 4 | |
| 13 | 16 | |
| 14 | 6 | |
| 15 | 83 | |
| 16 | 7 | |
| 17 | 73 | |
| 18 | 20 | |
| 19 | 65 | |
| 20 | Genes and proteins in immunity. | 1 |
About Jack F. Kay
Jack F. Kay is a scholar working on Animal Science and Zoology, Food Science and Analytical Chemistry, having authored 20 papers that have together received 402 indexed citations. Recurring topics across this work include Pesticide Residue Analysis and Safety (11 papers), Pharmacological Effects and Assays (8 papers) and Hormonal and reproductive studies (6 papers). The work is most often cited by research in Animal Science and Zoology (98 citations), Endocrinology, Diabetes and Metabolism (97 citations) and Food Science (97 citations). Jack F. Kay has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Mark Hows, David I. Perrett, James Scarth, Matthew Sharman, P. Teale, James D. MacNeil, Bruno Le Bizec, J. A. Tarbin, Helen Ashwin and Brian H. Johnston. Their work appears in journals such as Analytical Chemistry, Journal of Agricultural and Food Chemistry and Journal of Chromatography A.
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.