W Rayner

562 citations
3 papers · 92 · h-index 2

Impact in

    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Genetic and phenotypic traits in livestock
    • Diabetes and associated disorders
    • Bioinformatics and Genomic Networks

Papers in

W Rayner

3 papers receiving 90 citations

Peers

W Rayner
Comparison fields: 5 of 34
  • Genetics 60
  • Molecular Biology 37
  • Ophthalmology 4
  • Gastroenterology 2
  • Endocrinology, Diabetes and Metabolism 5
Replace Heba Y. El Khashab with:
Heba Y. El Khashab Saudi Arabia
Martina Kreiß Germany
Aziz Mhanni Canada
Edith Said Malta
Dorothea Wand Germany
Eleina M. England United States
Breana Cham Singapore
Stéphanie Moortgat Belgium
Anne Baxendale Australia
Don F. Conrad United States
W Rayner relative to Heba Y. El Khashab Saudi Arabia Heba Y. El Khashab's profile →
Citations per field
00.5×1.5×2×2.5×
Heba Y. El Khashab · 1×
Citations per year

Countries citing papers authored by W Rayner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 23 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.

Border = papers with W Rayner Line = papers co-authored together W Rayner links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 200583
2 20188
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
20081

About W Rayner

W Rayner is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Molecular Biology, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 3 papers that have together received 92 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), Nutrition, Genetics, and Disease (1 paper), Genomics and Phylogenetic Studies (1 paper), RNA and protein synthesis mechanisms (1 paper), Machine Learning in Bioinformatics (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Genetics (60 citations), Molecular Biology (37 citations), Ophthalmology (4 citations), Gastroenterology (2 citations) and Endocrinology, Diabetes and Metabolism (5 citations). W Rayner has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include Andrew Paul Morris, Andrew Tym Hattersley, Panos Deloukas, Mark I. McCarthy, Mark Stephen Walker, G. A. Hitman, Lon R. Cardon, Eleftheria Zeggini, Andreas Meyer‐Lindenberg and Josef Frank. Their work appears in journals such as Diabetologia, Bioinformatics 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.

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