Keith Davidson

2.5k citations
14 papers · 1.7k · h-index 14

Impact in

  • Immunology top 5%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation
  • Physiology top 2%

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 10
    • Immune Response and Inflammation 8
    • Protein Kinase Regulation and GTPase Signaling 3
    • PI3K/AKT/mTOR signaling in cancer 3

Keith Davidson

14 papers receiving 1.7k citations

Peers

Keith Davidson
Comparison fields: 5 of 82
  • Immunology 638
  • Physiology 116
  • Cell Biology 370
  • Immunology and Allergy 124
  • Molecular Biology 972
Replace María-Isabel Yuseff with:
María-Isabel Yuseff Chile
Seiichi Mizushima Japan
Zhong Ma United States
Elisabetta Bianchi France
Juliane Lüscher‐Firzlaff Germany
Masaharu Kotani Japan
J. Román Cabrero Spain
Stefan Tomiuk Germany
Heidi C. E. Welch United Kingdom
Martin ter Beest Netherlands
Keith Davidson relative to María-Isabel Yuseff Chile María-Isabel Yuseff's profile →
Citations per field
00.5×1.5×1.8×
María-Isabel Yuseff · 1×
Citations per year

Countries citing papers authored by Keith Davidson

Since Specialization
Citations

This map shows the geographic impact of Keith Davidson'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 Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Davidson more than expected).

Fields of papers citing papers by Keith Davidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith Davidson. 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 Davidson. The network helps show where Keith Davidson may publish in the future.

Co-authors

The 25 scholars most cited alongside Keith Davidson, 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 Davidson Line = papers co-authored together Keith Davidson links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2006444
2 2001344
3 2005142
4 2006140
5 2006140
6 2006103
7 200192
8 200875
9 201259
10 201051
11 200736
12 200632
13 200723
14 201918

About Keith Davidson

Keith Davidson is a scholar working on Immunology, Molecular Biology, Genetics, Immunology and Allergy and Genetics, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (10 papers), Immune Response and Inflammation (8 papers), Blood disorders and treatments (5 papers), Cell Adhesion Molecules Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Nitric Oxide and Endothelin Effects (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Immunology (638 citations), Physiology (116 citations), Cell Biology (370 citations), Immunology and Allergy (124 citations) and Molecular Biology (972 citations). Keith Davidson has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Len Stephens, Phillip T. Hawkins, Karen E. Anderson, Chris D. Ellson, John Coadwell, Gail Ferguson, Sabine Suire, Edwin R. Chilvers, Matthew A. Cooper and Paul Tempst. Their work appears in journals such as Biochemical Society Symposia, Blood, The EMBO Journal, Nature Cell Biology and Journal of Leukocyte 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.

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