John R Rayner
Impact in
- Oncology top 2%
- Cytokine Signaling Pathways and Interactions
- Immunology top 2%
- interferon and immune responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- T-cell and B-cell Immunology
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 3
- RNA Interference and Gene Delivery 3
- CRISPR and Genetic Engineering 1
- Protein Hydrolysis and Bioactive Peptides 1
- Lipid Membrane Structure and Behavior 1
-
- Antimicrobial Peptides and Activities 2
- Co-authors
- Thomas J. Gonda (4 shared papers)Brendan John Jenkins (2 shared papers)Robyn Starr (2 shared papers)Donald Metcalf (1 shared paper)Leecia J. Murray (1 shared paper)Elizabeth M. Viney (1 shared paper)Warren S. Alexander (1 shared paper)Nicos Anthony Nicola (1 shared paper)
- Journals
- Molecular and Cellular Biology (2 papers)The Journal of Immunology (2 papers)Cell Death and Differentiation (1 paper)Nature (1 paper)Journal of Bacteriology (1 paper)
- Partner nations
- AustraliaUnited StatesMalaysia
In The Last Decade
John R Rayner
15 papers receiving 2.5k citations
John R Rayner's Hit Papers
Peers
Comparison fields: 5 of 93
- Oncology 1.4k
- Immunology 1.1k
- Pharmacology 273
- Microbiology 180
- Cancer Research 279
Countries citing papers authored by John R Rayner
This map shows the geographic impact of John R Rayner'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 R Rayner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R Rayner more than expected).
Fields of papers citing papers by John R Rayner
This network shows the impact of papers produced by John R Rayner. 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 R Rayner. The network helps show where John R Rayner may publish in the future.
Co-authors
The 25 scholars most cited alongside John R Rayner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A family of cytokine-inducible inhibitors of signalling Hit paper breakdown → | 1997 | 1841 |
| 2 | 2000 | 150 | |
| 3 | 1992 | 114 | |
| 4 | 1989 | 85 | |
| 5 | 1994 | 68 | |
| 6 | 2011 | 52 | |
| 7 | 1994 | 50 | |
| 8 | 1996 | 49 | |
| 9 | 1994 | 45 | |
| 10 | 1994 | 40 | |
| 11 | 1976 | 39 | |
| 12 | 2003 | 37 | |
| 13 | p53 represses SV40 transcription by preventing formation of transcription complexes. | 1995 | 17 |
| 14 | 1983 | 12 | |
| 15 | 1985 | 11 |
About John R Rayner
John R Rayner is a scholar working on Molecular Biology, Microbiology, Genetics, Cancer Research and Food Science, having authored 15 papers that have together received 2.6k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (3 papers), RNA Interference and Gene Delivery (3 papers), Virus-based gene therapy research (3 papers), Antimicrobial Peptides and Activities (2 papers), Animal Genetics and Reproduction (1 paper), CRISPR and Genetic Engineering (1 paper), Protein Hydrolysis and Bioactive Peptides (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Oncology (1.4k citations), Immunology (1.1k citations), Pharmacology (273 citations), Microbiology (180 citations) and Cancer Research (279 citations). John R Rayner has collaborated with scholars based in Australia, United States and Malaysia. Frequent co-authors include Thomas J. Gonda, Brendan John Jenkins, Robyn Starr, Donald Metcalf, Leecia J. Murray, Elizabeth M. Viney, Warren S. Alexander, Nicos Anthony Nicola, Tracy A. Willson and Douglas J. Hilton. Their work appears in journals such as Molecular and Cellular Biology, The Journal of Immunology, Cell Death and Differentiation, Nature and Journal of Bacteriology.
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.