Keith Durkin

1.8k citations
36 papers · 719 · h-index 15

Impact in

Papers in

Keith Durkin

35 papers receiving 706 citations

Peers

Keith Durkin
Comparison fields: 5 of 75
  • Agronomy and Crop Science 214
  • Immunology 266
  • Infectious Diseases 193
  • Ecology, Evolution, Behavior and Systematics 153
  • Equine 13
Replace Natalia P. Smirnova with:
Natalia P. Smirnova United States
Minoru Kidokoro Japan
Ivan‐Chen Cheng Taiwan
Liz Medcalf United Kingdom
Patricia Jeannin France
Annalisa Oggiano Italy
Colleen Olmstead United States
Stéphanie Dabo France
Ana S. Gonzalez‐Reiche United States
Mohamed Nejmeddine Morocco
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Citations per field
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Natalia P. Smirnova · 1×
Citations per year

Countries citing papers authored by Keith Durkin

Since Specialization
Citations

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

Fields of papers citing papers by Keith Durkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020139
2 201389
3 201773
4 201664
5 202051
6 201040
7 201230
8 202129
9
Chromosome Research : An International Journal on the Molecular, Supramolecular and Evolutionary Aspects of Chromosome Biology
201126
10 200623
11 202021
12 201717
13 201215
14 201915
15 202214
16 200810
17 20218
18
Cytogenetic Evaluation of the Stallion
20117
19 20247
20 20066

About Keith Durkin

Keith Durkin is a scholar working on Immunology, Agronomy and Crop Science, Genetics, Infectious Diseases and Molecular Biology, having authored 36 papers that have together received 719 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (11 papers), Animal Disease Management and Epidemiology (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Vector-Borne Animal Diseases (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), SARS-CoV-2 detection and testing (5 papers), Chromosomal and Genetic Variations (5 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Agronomy and Crop Science (214 citations), Immunology (266 citations), Infectious Diseases (193 citations), Ecology, Evolution, Behavior and Systematics (153 citations) and Equine (13 citations). Keith Durkin has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Maria Artesi, Michel Georges, Anne Van den Broeke, Arsène Burny, Nicolas Rosewick, Vincent Bours, Vincent Hahaut, Sébastien Bontems, Cécile Meex and Marie‐Pierre Hayette. Their work appears in journals such as Animal Genetics, Nature Communications, Retrovirology, Leukemia and Frontiers in Microbiology.

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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