W Rayner
Impact in
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- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genomics and Rare Diseases
- Genetic and phenotypic traits in livestock
- Genomic variations and chromosomal abnormalities
- Diabetes and associated disorders
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- Bioinformatics and Genomic Networks
Papers in
- Genetics 2
- Genetic Associations and Epidemiology 2
- Genetic Mapping and Diversity in Plants and Animals 1
- Genetic and phenotypic traits in livestock 1
- Nutrition, Genetics, and Disease 1
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- Machine Learning in Bioinformatics 1
- RNA and protein synthesis mechanisms 1
- Genomics and Phylogenetic Studies 1
- Co-authors
- Eleftheria Zeggini (1 shared paper)Mark S. Walker (1 shared paper)G. A. Hitman (1 shared paper)Panos Deloukas (1 shared paper)Mark I. McCarthy (1 shared paper)Lon R. Cardon (1 shared paper)Andrew P. Morris (1 shared paper)Andrew T. Hattersley (1 shared paper)
- Partner nations
- United KingdomGermany
In The Last Decade
W Rayner
3 papers receiving 84 citations
Peers
Comparison fields: 5 of 34
- Genetics 58
- Molecular Biology 38
- Ophthalmology 4
- Endocrinology, Diabetes and Metabolism 7
- Gastroenterology 2
Countries citing papers authored by W Rayner
This map shows the geographic impact of W Rayner'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 W Rayner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W Rayner more than expected).
Fields of papers citing papers by W Rayner
This network shows the impact of papers produced by W Rayner. 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 W Rayner. The network helps show where W Rayner may publish in the future.
Co-authors
The 22 scholars most cited alongside W Rayner, 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 | 2005 | 79 | |
| 2 | 2018 | 6 | |
| 3 | Genome-wide association (GWA) analysis in 4000 members of a Finnish birth cohort identifies common variants associated with fasting insulin levels and related metabolic traits | 2008 | 1 |
About W Rayner
W Rayner is a scholar working on Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 86 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), Birth, Development, and Health (1 paper), Machine Learning in Bioinformatics (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genetic and phenotypic traits in livestock (1 paper), RNA and protein synthesis mechanisms (1 paper), Genomics and Phylogenetic Studies (1 paper) and Nutrition, Genetics, and Disease (1 paper). The work is most often cited by research in Genetics (58 citations), Molecular Biology (38 citations), Ophthalmology (4 citations), Endocrinology, Diabetes and Metabolism (7 citations) and Gastroenterology (2 citations). W Rayner has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include Eleftheria Zeggini, Mark S. Walker, G. A. Hitman, Panos Deloukas, Mark I. McCarthy, Lon R. Cardon, Andrew P. Morris, Andrew T. Hattersley, Junfang Chen and Andreas Meyer‐Lindenberg. Their work appears in journals such as Nature Genetics, Diabetologia and Bioinformatics.
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.