G. Byrns

881 citations
16 papers · 630 · h-index 12

Impact in

  • Equine top 1%
    • Veterinary Equine Medical Research
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Ion channel regulation and function 4
    • Toxin Mechanisms and Immunotoxins 3
    • T-cell and B-cell Immunology 2
    • T-cell and Retrovirus Studies 2

G. Byrns

15 papers receiving 552 citations

Peers

G. Byrns
Comparison fields: 5 of 73
  • Equine 100
  • Immunology 156
  • Agronomy and Crop Science 77
  • Genetics 188
  • Microbiology 34
Replace J. Arnbjerg with:
J. Arnbjerg Denmark
Y. Chérel France
Donald C. Miller United States
Masaki Takasu Japan
Michaela Drögemüller Switzerland
Arcangelo Gentile Italy
Florian Hansmann Germany
Alvin F. Weber United States
U. Förster Switzerland
Robert Kreutzer Germany
G. Byrns relative to J. Arnbjerg Denmark J. Arnbjerg's profile →
Citations per field
00.5×2×3×3.9×
J. Arnbjerg · 1×
Citations per year

Countries citing papers authored by G. Byrns

Since Specialization
Citations

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

Fields of papers citing papers by G. Byrns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1992188
2 199795
3 198856
4 199451
5 199250
6 199140
7 198632
8 199630
9 199320
10 198719
11 200615
12 198713
13
Cold-reactive antibodies to B lymphocytes and their absorption by platelets and red cells.
19779
14 19877
15
Hyperkalemic periodic paralysis: an autosomal dominant heritable disease of horses.
19933
16 19912

About G. Byrns

G. Byrns is a scholar working on Molecular Biology, Immunology, Genetics, Equine and Sensory Systems, having authored 16 papers that have together received 630 indexed citations. Recurring topics across this work include Ion channel regulation and function (4 papers), Veterinary Equine Medical Research (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Ion Channels and Receptors (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Genetic and phenotypic traits in livestock (3 papers), T-cell and B-cell Immunology (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Equine (100 citations), Immunology (156 citations), Agronomy and Crop Science (77 citations), Genetics (188 citations) and Microbiology (34 citations). G. Byrns has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include D Bernoco, Sharon J. Spier, Jeffrey A. Rudolph, Eric P. Hoffman, Cecilia Rojas, A. T. Bowling, Robert S. Clark, Elizabeth J. Wictum, Ernest Bailey and Douglas F. Antczak. Their work appears in journals such as Animal Genetics, International Journal of Immunogenetics, Journal of the American Veterinary Medical Association, Nature Genetics and Animal Biotechnology.

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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