Michael Weedon

76.5k citations
296 papers · 57.3k · 28 hit papers · h-index 95

Impact in

  • Genetics top 0.01%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Diabetes and associated disorders
    • Genetic and phenotypic traits in livestock

Papers in

Michael Weedon

283 papers receiving 55.9k citations

Michael Weedon's Hit Papers

Genetic determinants of daytime napping and effects on cardiometabolic health 2021 · 301 citations
3010+5+10Years since publication10002.0k3.0k

Peers

Michael Weedon
Comparison fields: 5 of 214
  • Genetics 27.3k
  • Endocrine and Autonomic Systems 2.6k
  • Endocrinology, Diabetes and Metabolism 5.7k
  • Molecular Biology 14.9k
  • Physiology 5.3k
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Citations per field
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Citations per year

Countries citing papers authored by Michael Weedon

Since Specialization
Citations

This map shows the geographic impact of Michael Weedon'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 Michael Weedon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Weedon more than expected).

Fields of papers citing papers by Michael Weedon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Weedon. 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 Michael Weedon. The network helps show where Michael Weedon may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Weedon, 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 Michael Weedon Line = papers co-authored together Michael Weedon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 296 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
Hit paper breakdown →
20077865
2
A Common Variant in the FTO Gene Is Associated with Body Mass Index and Predisposes to Childhood and Adult Obesity
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20073653
3
Genetic studies of body mass index yield new insights for obesity biology
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20153477
4
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
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20102419
5
Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
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20071847
6
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
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20101842
7
Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry
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20181574
8
Hundreds of variants clustered in genomic loci and biological pathways affect human height
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20101546
9
Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes
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20081544
10
Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
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20101474
11
Six new loci associated with body mass index highlight a neuronal influence on body weight regulation
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20081450
12
Defining the role of common variation in the genomic and biological architecture of adult human height
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20141377
13
Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits
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20121203
14
Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants
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20071188
15
Common variants near MC4R are associated with fat mass, weight and risk of obesity
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20081083
16
Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution
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2010782
17
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
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2010761
18
Genome-wide association analysis identifies 20 loci that influence adult height
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2008673
19
Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls
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2010637
20
Large-Scale Association Studies of Variants in Genes Encoding the Pancreatic β-Cell KATP Channel Subunits Kir6.2 (KCNJ11) and SUR1 (ABCC8) Confirm That the KCNJ11 E23K Variant Is Associated With Type 2 Diabetes
Hit paper breakdown →
2003617

About Michael Weedon

Michael Weedon is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Experimental and Cognitive Psychology and Molecular Biology, having authored 296 papers that have together received 57.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (84 papers), Pancreatic function and diabetes (56 papers), Diabetes and associated disorders (44 papers), Sleep and related disorders (20 papers), Genomics and Rare Diseases (17 papers), Epigenetics and DNA Methylation (15 papers), Birth, Development, and Health (13 papers) and Genomic variations and chromosomal abnormalities (12 papers). The work is most often cited by research in Genetics (27.3k citations), Endocrine and Autonomic Systems (2.6k citations), Endocrinology, Diabetes and Metabolism (5.7k citations), Molecular Biology (14.9k citations) and Physiology (5.3k citations). Michael Weedon has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Timothy Mark Frayling, Andrew Tym Hattersley, Andrew R. Wood, Mark I. McCarthy, Joel N. Hirschhorn, Jian Yang, Peter M. Visscher, Beverley M. Shields, Richard A. Oram and Samuel E. Jones. Their work appears in journals such as Diabetes, Nature Genetics, Diabetologia, Diabetes Care and Nature Communications.

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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