N W Rayner

857 citations
4 papers · 5 · h-index 2

Impact in

    • Endoplasmic Reticulum Stress and Disease
    • Genetic Associations and Epidemiology

Papers in

N W Rayner

4 papers receiving 5 citations

Peers

N W Rayner
Comparison fields: 5 of 5
  • Cell Biology 3
  • Genetics 3
  • Molecular Biology 3
  • General Health Professions 1
  • Education 1
Replace Luis Yanes with:
Luis Yanes United Kingdom
Brian C. Bucca United States
RM Anjana India
J. Crane United States
Oliver Brown United States
Patricia A. Zornio United States
Seung‐Hoan Choi United States
Carl E. Correns
JN Ingle United States
Keith Wetherby United States
N W Rayner relative to Luis Yanes United Kingdom Luis Yanes's profile →
Citations per field
00.5×1.5×
Luis Yanes · 1×
Citations per year

Countries citing papers authored by N W Rayner

Since Specialization
Citations

This map shows the geographic impact of N 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 N 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 N W Rayner more than expected).

Fields of papers citing papers by N W Rayner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N 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 N W Rayner. The network helps show where N W Rayner may publish in the future.

Co-authors

The 14 scholars most cited alongside N 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 N W Rayner Line = papers co-authored together N W Rayner links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 20242
2
Stratified analysis of the Wellcome Trust Case Control Consortium scan for type 2 diabetes reveals susceptibility loci that may affect age of diagnosis
20081
3
Studies of genome-wide association data support a genetic overlap between type 2 diabetes and prostate cancer
20081
4
First-generation scan of genome-wide association data allowing for epistasis prioritises multiple interacting candidate loci in T2D
20081

About N W Rayner

N W Rayner is a scholar working on Genetics, Molecular Biology, General Health Professions, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 4 papers that have together received 5 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), Cancer, Lipids, and Metabolism (1 paper), Health Policy Implementation Science (1 paper), Diabetes Management and Education (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Patient-Provider Communication in Healthcare (1 paper) and Mental Health and Patient Involvement (1 paper). The work is most often cited by research in Cell Biology (3 citations), Genetics (3 citations), Molecular Biology (3 citations), General Health Professions (1 citation) and Education (1 citation). N W Rayner has collaborated with scholars based in Australia. Frequent co-authors include Inga Prokopenko, Vesna Boraska Perica, Eleftheria Zeggini, Fiona Kelly, Lisa Nissen, Kate Elliott, Jordana T. Bell, Andrew T. Hattersley, Nicholas J. Timpson and Timothy M. Frayling. Their work appears in journals such as Diabetologia and Health Expectations.

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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