Peter Kay
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Complement system in diseases
- Genetics top 10%
- Diabetes and associated disorders
Papers in
-
- Epigenetics and DNA Methylation 15
- Cancer-related gene regulation 11
- RNA modifications and cancer 11
- Muscle Physiology and Disorders 9
- Immunology 25
- Complement system in diseases 10
- T-cell and B-cell Immunology 9
- Co-authors
- Roger L. Dawkins (30 shared papers)Frank Christiansen (15 shared papers)P. J. Zilko (6 shared papers)James McCluskey (8 shared papers)M.J. Garlepp (6 shared papers)Mel Ziman (10 shared papers)Peter Hollingsworth (1 shared paper)Maria Franchina (7 shared papers)
- Journals
- Gene (10 papers)Immunogenetics (5 papers)Human Immunology (5 papers)Human Heredity (4 papers)International Journal of Immunogenetics (4 papers)
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
Peter Kay
86 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 118
- Immunology 585
- Genetics 312
- Rheumatology 134
- Hematology 95
- Neurology 111
Countries citing papers authored by Peter Kay
This map shows the geographic impact of Peter 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 Peter Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kay more than expected).
Fields of papers citing papers by Peter Kay
This network shows the impact of papers produced by Peter 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 Peter Kay. The network helps show where Peter Kay may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 247 | |
| 2 | 1983 | 78 | |
| 3 | 1988 | 75 | |
| 4 | 1989 | 71 | |
| 5 | 1986 | 59 | |
| 6 | 1983 | 54 | |
| 7 | 1985 | 44 | |
| 8 | 1983 | 36 | |
| 9 | 1988 | 33 | |
| 10 | 1986 | 32 | |
| 11 | 1997 | 31 | |
| 12 | 2000 | 30 | |
| 13 | 1982 | 28 | |
| 14 | 1989 | 26 | |
| 15 | 1994 | 26 | |
| 16 | 1985 | 25 | |
| 17 | 1984 | 24 | |
| 18 | 1988 | 22 | |
| 19 | 1998 | 21 | |
| 20 | 1981 | 20 |
About Peter Kay
Peter Kay is a scholar working on Molecular Biology, Immunology, Genetics, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 86 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (15 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Cancer-related gene regulation (11 papers), RNA modifications and cancer (11 papers), Complement system in diseases (10 papers), Muscle Physiology and Disorders (9 papers), T-cell and B-cell Immunology (9 papers) and Blood groups and transfusion (7 papers). The work is most often cited by research in Immunology (585 citations), Genetics (312 citations), Rheumatology (134 citations), Hematology (95 citations) and Neurology (111 citations). Peter Kay has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Roger L. Dawkins, Frank Christiansen, P. J. Zilko, James McCluskey, M.J. Garlepp, Mel Ziman, Peter Hollingsworth, Maria Franchina, V. J. McCann and Dominic V. Spagnolo. Their work appears in journals such as Gene, Immunogenetics, Human Immunology, Human Heredity and International Journal of Immunogenetics.
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.