John Kay
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 5
- Glycosylation and Glycoproteins Research 3
- Molecular Biology Techniques and Applications 3
- RNA and protein synthesis mechanisms 3
- Oncology 11
- Peptidase Inhibition and Analysis 11
- Co-authors
- Martin J. Valler (6 shared papers)Ben M. Dunn (10 shared papers)William A. Reid (4 shared papers)Carole E. Rolph (1 shared paper)Wendy E. Lees (3 shared papers)Peter J. Tatnell (3 shared papers)I. Michael Samloff (4 shared papers)Anthony Cryer (2 shared papers)
- Journals
- FEBS Letters (4 papers)Biochemical Journal (4 papers)The Political Quarterly (2 papers)Journal of Clinical Pathology (2 papers)Advances in experimental medicine and biology (2 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
John Kay
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 136
- Biotechnology 152
- Cancer Research 214
- Molecular Biology 550
- Virology 35
- Cell Biology 118
Countries citing papers authored by John Kay
This map shows the geographic impact of John 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 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 Kay more than expected).
Fields of papers citing papers by John Kay
This network shows the impact of papers produced by John 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 Kay. The network helps show where John Kay may publish in the future.
Co-authors
The 25 scholars most cited alongside John 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 148 | |
| 2 | 1986 | 111 | |
| 3 | 1987 | 87 | |
| 4 | 2000 | 80 | |
| 5 | 1988 | 70 | |
| 6 | 1998 | 63 | |
| 7 | 1997 | 63 | |
| 8 | Obliquity: Why Our Goals Are Best Achieved Indirectly | 2010 | 62 |
| 9 | 1990 | 56 | |
| 10 | 1988 | 51 | |
| 11 | 1987 | 41 | |
| 12 | 1984 | 36 | |
| 13 | 1992 | 36 | |
| 14 | 1990 | 34 | |
| 15 | 1990 | 34 | |
| 16 | 1990 | 34 | |
| 17 | 1991 | 28 | |
| 18 | 1989 | 27 | |
| 19 | 1985 | 26 | |
| 20 | 1990 | 22 |
About John Kay
John Kay is a scholar working on Molecular Biology, Oncology, Biotechnology, Cancer Research and Hematology, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (11 papers), Enzyme Production and Characterization (7 papers), Protein Hydrolysis and Bioactive Peptides (5 papers), Protease and Inhibitor Mechanisms (5 papers), Glycosylation and Glycoproteins Research (3 papers), Trace Elements in Health (3 papers), Molecular Biology Techniques and Applications (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Biotechnology (152 citations), Cancer Research (214 citations), Molecular Biology (550 citations), Virology (35 citations) and Cell Biology (118 citations). John Kay has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Martin J. Valler, Ben M. Dunn, William A. Reid, Carole E. Rolph, Wendy E. Lees, Peter J. Tatnell, I. Michael Samloff, Anthony Cryer, R A Jupp and Peter Kille. Their work appears in journals such as FEBS Letters, Biochemical Journal, The Political Quarterly, Journal of Clinical Pathology and Advances in experimental medicine and biology.
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.