Jeff Holderness

607 citations
14 papers · 514 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities

Papers in

    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 6
    • Immune Response and Inflammation 4
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • S100 Proteins and Annexins 1

Jeff Holderness

13 papers receiving 505 citations

Peers

Jeff Holderness
Comparison fields: 5 of 71
  • Immunology 218
  • Biochemistry 43
  • Complementary and alternative medicine 34
  • Small Animals 31
  • Microbiology 21
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Citations per year

Countries citing papers authored by Jeff Holderness

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Holderness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201385
2 201169
3 200859
4 200954
5 200753
6 201344
7 201240
8 200839
9 200925
10 201122
11 201115
12 20145
13 20164
14 20110

About Jeff Holderness

Jeff Holderness is a scholar working on Immunology, Molecular Biology, Plant Science, Small Animals and Pathology and Forensic Medicine, having authored 14 papers that have together received 514 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers), Immune Response and Inflammation (4 papers), Polysaccharides and Plant Cell Walls (2 papers), Diabetes Management and Research (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Phytochemicals and Antioxidant Activities (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Immunology (218 citations), Biochemistry (43 citations), Complementary and alternative medicine (34 citations), Small Animals (31 citations) and Microbiology (21 citations). Jeff Holderness has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Mark A. Jutila, Jodi F. Hedges, Brett A. Freedman, Andrew G. Ramstead, Igor A. Schepetkin, Mark T. Quinn, Liliya N. Kirpotina, Katie F. Daughenbaugh, Edwin Liu and Krisna Wells. Their work appears in journals such as The Journal of Immunology, Annual Review of Animal Biosciences, Critical Reviews in Immunology, Veterinary Immunology and Immunopathology 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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