John E. Kay

1.9k total citations
67 papers, 1.6k citations indexed

About

John E. Kay is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, John E. Kay has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 22 papers in Immunology and 13 papers in Oncology. Recurrent topics in John E. Kay's work include Toxin Mechanisms and Immunotoxins (13 papers), RNA and protein synthesis mechanisms (12 papers) and Signaling Pathways in Disease (12 papers). John E. Kay is often cited by papers focused on Toxin Mechanisms and Immunotoxins (13 papers), RNA and protein synthesis mechanisms (12 papers) and Signaling Pathways in Disease (12 papers). John E. Kay collaborates with scholars based in United Kingdom, United States and France. John E. Kay's co-authors include Herbert L. Cooper, Trevor J. Pemberton, Anthony E. Pegg, Stuart L. Rulten, J. H. Pearce, A G Lundemose, Jeffrey R. Sampson, Anne Cooke, Julian R. Thorpe and Angelo F. Borghetti and has published in prestigious journals such as Nature, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

John E. Kay

67 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John E. Kay United Kingdom 24 1.2k 383 276 236 180 67 1.6k
Kikuo Ogata Japan 28 2.1k 1.7× 202 0.5× 239 0.9× 77 0.3× 189 1.1× 123 2.5k
John P. Capone Canada 28 1.6k 1.3× 352 0.9× 326 1.2× 131 0.6× 79 0.4× 60 2.5k
Anne‐Laure Pauleau Germany 11 1.2k 1.0× 697 1.8× 348 1.3× 156 0.7× 190 1.1× 13 2.3k
T J Koerner United States 20 2.1k 1.7× 298 0.8× 135 0.5× 93 0.4× 358 2.0× 28 2.7k
Bettina Zanolari Switzerland 23 1.5k 1.2× 318 0.8× 93 0.3× 169 0.7× 662 3.7× 27 2.2k
Maximilian Tropschug Germany 27 2.9k 2.4× 527 1.4× 505 1.8× 92 0.4× 217 1.2× 43 3.1k
J A Rodkey United States 23 1.3k 1.1× 292 0.8× 182 0.7× 88 0.4× 238 1.3× 26 2.3k
Chaoneng Ji China 26 1.4k 1.2× 259 0.7× 137 0.5× 73 0.3× 184 1.0× 142 2.0k
C.J. Chesterton United Kingdom 25 1.3k 1.0× 159 0.4× 126 0.5× 67 0.3× 140 0.8× 43 1.7k
Christopher C. Widnell United States 20 806 0.7× 112 0.3× 152 0.6× 167 0.7× 249 1.4× 37 1.6k

Countries citing papers authored by John E. Kay

Since Specialization
Citations

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

Fields of papers citing papers by John E. Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John E. Kay

This figure shows the co-authorship network connecting the top 25 collaborators of John E. Kay. A scholar is included among the top collaborators of John E. 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 John E. Kay. John E. 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.
Rulten, Stuart L., et al.. (2006). The human FK506-binding proteins: characterization of human FKBP19. Mammalian Genome. 17(4). 322–331. 47 indexed citations
2.
Pemberton, Trevor J. & John E. Kay. (2005). Identification and comparative analysis of the peptidyl-prolyl cis/trans isomerase repertoires of H. sapiens, D. melanogaster, C. elegans, S. cerevisiae and Sz. pombe: Research Articles. Comparative and Functional Genomics. 6(5). 277–300. 4 indexed citations
3.
Pemberton, Trevor J. & John E. Kay. (2005). The cyclophilin repertoire of the fission yeastSchizosaccharomyces pombe. Yeast. 22(12). 927–945. 15 indexed citations
4.
Pemberton, Trevor J. & John E. Kay. (2005). Identification and comparative analysis of the peptidyl‐prolyl cis/trans isomerase repertoires of H. sapiens, D. melanogaster, C. elegans, S. cerevisiae and Sz. pombe. Comparative and Functional Genomics. 6(5-6). 277–300. 49 indexed citations
5.
Thorpe, Julian R., et al.. (2004). Shortfalls in the peptidyl-prolyl cis–trans isomerase protein Pin1 in neurons are associated with frontotemporal dementias. Neurobiology of Disease. 17(2). 237–249. 37 indexed citations
6.
Pemberton, Trevor J. & John E. Kay. (2003). Cyclophilin sensitivity to sanglifehrin A can be correlated to the same specific tryptophan residue as cyclosporin A. FEBS Letters. 555(2). 335–340. 5 indexed citations
7.
Gaymes, Terry J., Marek Cebrat, Ignacy Z. Siemion, & John E. Kay. (1997). Cyclolinopeptide A (CLA) mediates its immunosuppressive activity through cyclophilin‐dependent calcineurin inactivation. FEBS Letters. 418(1-2). 224–227. 52 indexed citations
8.
Kay, John E., et al.. (1994). A galactose-binding T-cell mitogenic lectin from the seeds of Telfairia occidentalis. Phytochemistry. 35(5). 1125–1130. 11 indexed citations
10.
Rao, Chetana, John E. Kay, Brian L. Batley, et al.. (1993). Specificity in the binding of inhibitors to the active site of human/primate aspartic proteinases: analysis of P2-P1-P1'-P2' variation. Journal of Medicinal Chemistry. 36(18). 2614–2620. 16 indexed citations
11.
Morley, Simon, Michael Rau, John E. Kay, & Virginia M. Pain. (1993). Increased phosphorylation of eukaryotic initiation factor 4α during early activation of T lymphocytes correlates with increased initiation factor 4F complex formation. European Journal of Biochemistry. 218(1). 39–48. 61 indexed citations
12.
Goodier, Martin R. & John E. Kay. (1991). Post-transcriptional regulation of cytoskeletal actin and T lymphocyte receptor β chain mRNA by phorbol ester. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1092(1). 124–127. 4 indexed citations
13.
Kay, John E.. (1991). Mechanisms of T lymphocyte activation. Immunology Letters. 29(1-2). 51–54. 41 indexed citations
14.
Petronini, Pier Giorgio, et al.. (1989). Control of protein synthesis by extracellular Na+ in cultured fibroblasts. Journal of Cellular Physiology. 140(2). 202–211. 22 indexed citations
15.
Petronini, Pier Giorgio, et al.. (1986). Adaptive response of cultured fibroblasts to hyperosmolarity. Experimental Cell Research. 165(1). 180–190. 35 indexed citations
16.
Kay, John E., et al.. (1986). The role of the transferrin receptor in lymphocyte activation. Immunology Letters. 12(1). 55–58. 7 indexed citations
17.
Kay, John E., et al.. (1983). Activation of T lymphocytes by 12-O-tetradecanoylphorbol-13-acetate is resistant to inhibition by cyclosporin A. Immunology Letters. 7(3). 151–156. 11 indexed citations
18.
Kay, John E., et al.. (1982). Initiation reactions in the mRNA-dependent reticulocyte lysate. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 698(2). 218–221. 3 indexed citations
19.
Margulies, Linda J. & John E. Kay. (1976). The mechanism of inhibition of initiation of protein synthesis in reticulocyte lysates by pyrocatechol violet. Biochimica et Biophysica Acta (BBA) - Nucleic Acids and Protein Synthesis. 435(2). 152–158. 3 indexed citations
20.
Kay, John E. & Anthony E. Pegg. (1973). Effect of inhibition of spermidine formation on protein and nucleic acid synthesis during lymphocyte activation. FEBS Letters. 29(3). 301–304. 69 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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