Keith P. Ray

2.9k citations
56 papers · 2.4k · h-index 22

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

Keith P. Ray

54 papers receiving 2.3k citations

Peers

Keith P. Ray
Comparison fields: 5 of 111
  • Aging 209
  • Immunology 1.1k
  • Microbiology 154
  • Cancer Research 333
  • Insect Science 224
Replace Marian J.A. Groot Koerkamp with:
Marian J.A. Groot Koerkamp Netherlands
Akiko Shiratsuchi Japan
Xavier Préville France
Daniel Wong United Kingdom
Cliff J. Luke United States
Esther Caparrós Spain
William J. Quinn United States
Elena Bonzón‐Kulichenko Spain
Gisela Heidecker United States
Paul H. Naylor United States
Keith P. Ray relative to Marian J.A. Groot Koerkamp Netherlands Marian J.A. Groot Koerkamp's profile →
Citations per field
00.5×2×4×6×7.5×
Marian J.A. Groot Koerkamp · 1×
Citations per year

Countries citing papers authored by Keith P. Ray

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Keith P. Ray Line = papers co-authored together Keith P. Ray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000468
2 2003372
3 2001357
4 1976170
5
Overexpression of an enzymically inactive interleukin-1-receptor-associated kinase activates nuclear factor-kappaB.
199979
6 199963
7 201061
8 201852
9 200650
10 199747
11 198041
12 198438
13 201037
14 201835
15 200131
16 201931
17 198727
18 198226
19 200625
20 202125

About Keith P. Ray

Keith P. Ray is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism, Immunology and Allergy, Cancer Research and Behavioral Neuroscience, having authored 56 papers that have together received 2.4k 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 Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Aging (209 citations), Immunology (1.1k citations), Microbiology (154 citations), Cancer Research (333 citations) and Insect Science (224 citations). Keith P. Ray has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Filippo Giovanni Volpe, Barbara Maschera, Kimberly Burns, PAUL J. ENGLAND, Michael Wallis, Jonathan Clatworthy, Mary A. Morse, Laurence Martin, Chris Plumpton and Jürg Tschopp. Their work appears in journals such as Molecular and Cellular Endocrinology, Biochemical Journal, FEBS Letters, 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.

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