Keith P. Ray
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 2%
- Immune Response and Inflammation
- Invertebrate Immune Response Mechanisms
- interferon and immune responses
Papers in
- Immunology 17
- Immune Response and Inflammation 9
- Co-authors
- Filippo Volpe (5 shared papers)Barbara Maschera (5 shared papers)Kimberly Burns (4 shared papers)P. England (1 shared paper)Michael Wallis (14 shared papers)J Tschopp (1 shared paper)Mary A. Morse (2 shared papers)Alan J. Lewis (1 shared paper)
- Journals
- Molecular and Cellular Endocrinology (7 papers)FEBS Letters (5 papers)Biochemical Journal (5 papers)Biochemical Society Transactions (4 papers)Scientific Reports (3 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Keith P. Ray
52 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 114
- Aging 197
- Immunology 1.1k
- Microbiology 150
- Cancer Research 334
- Insect Science 221
Countries citing papers authored by Keith P. Ray
This map shows the geographic impact of Keith P. Ray'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 Keith P. Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith P. Ray more than expected).
Fields of papers citing papers by Keith P. Ray
This network shows the impact of papers produced by Keith P. Ray. 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 Keith P. Ray. The network helps show where Keith P. Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith P. Ray, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 447 | |
| 2 | 2003 | 348 | |
| 3 | 2001 | 336 | |
| 4 | 1976 | 153 | |
| 5 | Overexpression of an enzymically inactive interleukin-1-receptor-associated kinase activates nuclear factor-kappaB. | 1999 | 80 |
| 6 | 1999 | 64 | |
| 7 | 2010 | 61 | |
| 8 | 2018 | 48 | |
| 9 | 1997 | 44 | |
| 10 | 2006 | 44 | |
| 11 | 1980 | 37 | |
| 12 | 1984 | 35 | |
| 13 | 2010 | 34 | |
| 14 | 2018 | 34 | |
| 15 | 2001 | 31 | |
| 16 | 2019 | 28 | |
| 17 | 1982 | 26 | |
| 18 | 2006 | 24 | |
| 19 | 2021 | 23 | |
| 20 | 2001 | 23 |
About Keith P. Ray
Keith P. Ray is a scholar working on Immunology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology and Cancer Research, having authored 53 papers that have together received 2.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (12 papers), Immune Response and Inflammation (9 papers), NF-κB Signaling Pathways (7 papers), Cytokine Signaling Pathways and Interactions (5 papers), Cell Adhesion Molecules Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Stress Responses and Cortisol (4 papers) and Inflammatory Bowel Disease (4 papers). The work is most often cited by research in Aging (197 citations), Immunology (1.1k citations), Microbiology (150 citations), Cancer Research (334 citations) and Insect Science (221 citations). Keith P. Ray has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Filippo Volpe, Barbara Maschera, Kimberly Burns, P. England, Michael Wallis, J Tschopp, Mary A. Morse, Alan J. Lewis, Laurence Martin and Fabio Martinon. Their work appears in journals such as Molecular and Cellular Endocrinology, FEBS Letters, Biochemical Journal, Biochemical Society Transactions and Scientific Reports.
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.