David Coote
Impact in
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
Papers in
-
- Muscle Physiology and Disorders 3
- Ion channel regulation and function 1
- Genetics 2
- Genetic and phenotypic traits in livestock 1
- Genomics and Rare Diseases 1
- Co-authors
- Nigel G. Laing (5 shared papers)Mark R. Davis (4 shared papers)Macarena Cabrera‐Serrano (4 shared papers)Hayley Goullée (2 shared papers)Gianina Ravenscroft (2 shared papers)Jean‐Michel Vallat (1 shared paper)Dimitar N. Azmanov (1 shared paper)Masaaki Komatsu (1 shared paper)
- Journals
- European Journal of Human Genetics (3 papers)Acta Neuropathologica Communications (1 paper)Journal of Medical Genetics (1 paper)Nature Genetics (1 paper)
- Partner nations
- AustraliaSpainNetherlands
In The Last Decade
David Coote
6 papers receiving 678 citations
David Coote's Hit Papers
Peers
Comparison fields: 5 of 37
- Genetics 617
- Equine 4
- Molecular Biology 69
- Urology 7
- Small Animals 8
Countries citing papers authored by David Coote
This map shows the geographic impact of David Coote'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 David Coote with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Coote more than expected).
Fields of papers citing papers by David Coote
This network shows the impact of papers produced by David Coote. 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 David Coote. The network helps show where David Coote may publish in the future.
Co-authors
The 23 scholars most cited alongside David Coote, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle Hit paper breakdown → | 2014 | 649 |
| 2 | 2020 | 22 | |
| 3 | 2020 | 4 | |
| 4 | 2018 | 3 | |
| 5 | 2018 | 2 | |
| 6 | 2018 | 2 |
About David Coote
David Coote is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 6 papers that have together received 682 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (3 papers), Hereditary Neurological Disorders (1 paper), Genetic and phenotypic traits in livestock (1 paper), Ion channel regulation and function (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Genetics (617 citations), Equine (4 citations), Molecular Biology (69 citations), Urology (7 citations) and Small Animals (8 citations). David Coote has collaborated with scholars based in Australia, Spain and Netherlands. Frequent co-authors include Nigel G. Laing, Mark R. Davis, Macarena Cabrera‐Serrano, Hayley Goullée, Gianina Ravenscroft, Jean‐Michel Vallat, Dimitar N. Azmanov, Masaaki Komatsu, Catriona McLean and Monique M. Ryan. Their work appears in journals such as European Journal of Human Genetics, Acta Neuropathologica Communications, Journal of Medical Genetics and Nature Genetics.
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.