John Davey

4.4k citations
104 papers · 3.5k indexed · 1 hit paper · h-index 34

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Cellular transport and secretion

Papers in

    • Cellular transport and secretion 15
    • Biotin and Related Studies 8
    • Fungal and yeast genetics research 53
    • Protein Kinase Regulation and GTPase Signaling 15
    • Plant Reproductive Biology 14
    • Receptor Mechanisms and Signaling 13
    • Microbial Metabolic Engineering and Bioproduction 7

John Davey

97 papers receiving 3.3k citations

Hit Papers

Cytotoxic T cells recognize fragments of the influenza nucleoprotein 1985 · 569 citations
5691985202619982012100200300400500

Peers

John Davey
Comparison fields: 5 of 131
  • Immunology 792
  • Cell Biology 590
  • Molecular Biology 2.3k
  • Biotechnology 141
  • Virology 65
Replace Do Hee Lee with:
Do Hee Lee South Korea
Simone Ottonello Italy
Jochen Heukeshoven Germany
Michael H. Brodsky United States
Tobias Ternent United Kingdom
Tianyuan Zhang China
Marc Dieu Belgium
Érika Suzuki Brazil
Marina V. Serebryakova Russia
U.I. Flügge Germany
John Davey relative to Do Hee Lee South Korea Do Hee Lee's profile →
Citations per field
00.5×1.5×2.2×
Do Hee Lee · 1×
Citations per year

Countries citing papers authored by John Davey

Since Specialization
Citations

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

Fields of papers citing papers by John Davey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20132
2 200967
3 20099
4 20074
5 20068
6 20046
7 200431
8 200342
9 200226
10 199925
11 1999122
12 199824
13 199816
14 199875
15 19961
16 199571
17 199452
18 199333
19 1987137
20 198792

About John Davey

John Davey is a scholar working on Cell Biology, Molecular Biology, Biotechnology, Food Science and Physiology, having authored 104 papers that have together received 3.5k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (53 papers), Protein Kinase Regulation and GTPase Signaling (15 papers), Cellular transport and secretion (15 papers), Plant Reproductive Biology (14 papers), Receptor Mechanisms and Signaling (13 papers), Biotin and Related Studies (8 papers), Fermentation and Sensory Analysis (8 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). The work is most often cited by research in Immunology (792 citations), Cell Biology (590 citations), Molecular Biology (2.3k citations), Biotechnology (141 citations) and Virology (65 citations). John Davey has collaborated with scholars based in United Kingdom, Denmark and Japan. Frequent co-authors include Alain Townsend, Frances Gotch, Olaf Nielsen, Graham Ladds, Alan Colman, Nigel J. Dimmock, R. Whittenbury, Richard Egel, David T. Gibson and Jonathan B. Rothbard. Their work appears in journals such as Biochemical Society Transactions, Yeast, Molecular Microbiology, Molecular and Cellular Biology and Seminars in Cell and Developmental 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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