John E. Kay
Impact in
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism
- Molecular Biology top 5%
- Signaling Pathways in Disease
- Polyamine Metabolism and Applications
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
Papers in
-
- Signaling Pathways in Disease 13
- RNA and protein synthesis mechanisms 12
- DNA Repair Mechanisms 5
- RNA Research and Splicing 5
- Polyamine Metabolism and Applications 5
- Immunology 23
- Toxin Mechanisms and Immunotoxins 14
- Co-authors
- Herbert L. Cooper (3 shared papers)Trevor J. Pemberton (4 shared papers)Anthony E. Pegg (1 shared paper)Anne Cooke (2 shared papers)Stuart L. Rulten (4 shared papers)J. H. Pearce (1 shared paper)A G Lundemose (1 shared paper)Jeffrey R. Sampson (2 shared papers)
- Journals
- Biochemical Society Transactions (20 papers)FEBS Letters (10 papers)Immunology Letters (5 papers)Cellular Immunology (3 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
John E. Kay
71 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Biochemistry 256
- Molecular Biology 1.3k
- Immunology 380
- Cell Biology 195
- Clinical Biochemistry 71
Countries citing papers authored by John E. Kay
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
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-authors
The 25 scholars most cited alongside John E. Kay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 168 | |
| 2 | 1973 | 130 | |
| 3 | 1993 | 93 | |
| 4 | 1971 | 76 | |
| 5 | 1973 | 70 | |
| 6 | 1993 | 64 | |
| 7 | 1969 | 61 | |
| 8 | 1978 | 61 | |
| 9 | 1974 | 54 | |
| 10 | 1997 | 53 | |
| 11 | 2005 | 49 | |
| 12 | 2006 | 48 | |
| 13 | 1975 | 48 | |
| 14 | 1971 | 46 | |
| 15 | 1969 | 44 | |
| 16 | 1991 | 41 | |
| 17 | 1999 | 39 | |
| 18 | 2004 | 39 | |
| 19 | 1978 | 36 | |
| 20 | 1986 | 35 |
About John E. Kay
John E. Kay is a scholar working on Molecular Biology, Immunology, Oncology, Plant Science and Biotechnology, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (14 papers), Signaling Pathways in Disease (13 papers), RNA and protein synthesis mechanisms (12 papers), Peptidase Inhibition and Analysis (8 papers), DNA Repair Mechanisms (5 papers), RNA Research and Splicing (5 papers), Polyamine Metabolism and Applications (5 papers) and Amino Acid Enzymes and Metabolism (5 papers). The work is most often cited by research in Biochemistry (256 citations), Molecular Biology (1.3k citations), Immunology (380 citations), Cell Biology (195 citations) and Clinical Biochemistry (71 citations). John E. Kay has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Herbert L. Cooper, Trevor J. Pemberton, Anthony E. Pegg, Anne Cooke, Stuart L. Rulten, J. H. Pearce, A G Lundemose, Jeffrey R. Sampson, Angelo F. Borghetti and Simon Morley. Their work appears in journals such as Biochemical Society Transactions, FEBS Letters, Immunology Letters, Cellular Immunology and Biochemical and Biophysical Research Communications.
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.