Keith Davidson

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

Impact in

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

Papers in

    • Cell Adhesion Molecules Research 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 10
    • Immune Response and Inflammation 8

Keith Davidson

14 papers receiving 1.7k citations

Peers

Keith Davidson
Comparison fields: 5 of 85
  • Immunology 665
  • Physiology 116
  • Cell Biology 385
  • Immunology and Allergy 132
  • Molecular Biology 1.0k
Replace María-Isabel Yuseff with:
María-Isabel Yuseff Chile
Jonathan Clark United Kingdom
Seiichi Mizushima Japan
Elisabetta Bianchi France
Zhong Ma United States
Naishadh Desai United States
J. Román Cabrero Spain
Stefan Tomiuk Germany
Juliane Lüscher‐Firzlaff Germany
Zhangguo Chen United States
Keith Davidson relative to María-Isabel Yuseff Chile María-Isabel Yuseff's profile →
Citations per field
00.5×1.5×1.9×
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-authorship network

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 201918
2 201259
3 201051
4 200875
5 200736
6 200723
7 200632
8 2006103
9 2006140
10 2006139
11 2006442
12 2005142
13 2001342
14 200191

About Keith Davidson

Keith Davidson is a scholar working on Immunology and Allergy, Immunology, Genetics, Genetics and Molecular Biology, 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), Protein Kinase Regulation and GTPase Signaling (3 papers), Cell Adhesion Molecules Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Immunology (665 citations), Physiology (116 citations), Cell Biology (385 citations), Immunology and Allergy (132 citations) and Molecular Biology (1.0k citations). Keith Davidson has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Phillip T. Hawkins, Len Stephens, Karen E. Anderson, Chris D. Ellson, John Coadwell, Gail Ferguson, Sabine Suire, Edwin R. Chilvers, Hediye Erdjument‐Bromage and Paul Tempst. Their work appears in journals such as The EMBO Journal, Nature Cell Biology, Biochemical Society Symposia, Blood and Biochemical Society Transactions.

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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