Keith Durkin
- Immunology top 10%
- Molecular Biology
- Agronomy and Crop Science top 5%
- Infectious Diseases top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Maria ArtesiMichel GeorgesAnne Van den BroekeArsène BurnyNicolas RosewickVincent BoursVincent HahautCécile Meex
- Topics
- T-cell and Retrovirus Studies (11 papers)Animal Disease Management and Epidemiology (9 papers)SARS-CoV-2 and COVID-19 Research (8 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Keith Durkin
35 papers receiving 706 citations
Peers
Comparison fields: 5 of 75
- Immunology 266
- Molecular Biology 220
- Agronomy and Crop Science 214
- Infectious Diseases 193
- Ecology, Evolution, Behavior and Systematics 153
Countries citing papers authored by Keith Durkin
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
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-authorship network of co-authors of Keith Durkin
This figure shows the co-authorship network connecting the top 25 collaborators of Keith Durkin. A scholar is included among the top collaborators of Keith Durkin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keith Durkin. Keith Durkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 29 | |
| 8 | 8 | |
| 9 | 51 | |
| 10 | 4 | |
| 11 | 21 | |
| 12 | 73 | |
| 13 | 17 | |
| 14 | Serial translocation via circular intermediates underlies color-sidedness in cattle. | 2 |
| 15 | Cytogenetic Evaluation of the Stallion | 7 |
| 16 | Molecular dissection of the color-sided phenotype in cattle reveals a novel mechanism of chromosome evolution involving circular shuttling intermediates. | 1 |
| 17 | 40 | |
| 18 | Characterization of two structural aberrations in the horse by FISH with BAC clones. | 1 |
| 19 | 6 | |
| 20 | 23 |
About Keith Durkin
Keith Durkin is a scholar working on Agronomy and Crop Science, Immunology and Modeling and Simulation, 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) and SARS-CoV-2 and COVID-19 Research (8 papers). The work is most often cited by research in Agronomy and Crop Science (214 citations), Immunology (266 citations) and Infectious Diseases (193 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, Cécile Meex, Marie‐Pierre Hayette and Sébastien Bontems. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.