John Danesh
Impact in
- Genetics top 0.02%
- Genetic Associations and Epidemiology
- Endocrinology, Diabetes and Metabolism top 0.05%
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Genetics 109
- Genetic Associations and Epidemiology 98
- Genomics and Rare Diseases 14
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- Diabetes, Cardiovascular Risks, and Lipoproteins 18
- Co-authors
- Rory Collins (13 shared papers)Seena Fazel (4 shared papers)Richard Peto (9 shared papers)Vilmundur G. Gudnason (11 shared papers)Jeremy Wheeler (1 shared paper)Mina S. Fazel (1 shared paper)Guðný Eiríksdóttir (6 shared papers)Adam S. Butterworth (29 shared papers)
- Journals
- Nature Genetics (33 papers)Nature Communications (22 papers)The Lancet (17 papers)Nature (17 papers)European Heart Journal (16 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
John Danesh
343 papers receiving 83.2k citations
John Danesh's Hit Papers
Peers
Comparison fields: 5 of 219
- Genetics 19.8k
- Endocrinology, Diabetes and Metabolism 7.6k
- Cardiology and Cardiovascular Medicine 8.6k
- Physiology 6.7k
- Surgery 11.3k
Countries citing papers authored by John Danesh
This map shows the geographic impact of John Danesh'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 John Danesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Danesh more than expected).
Fields of papers citing papers by John Danesh
This network shows the impact of papers produced by John Danesh. 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 John Danesh. The network helps show where John Danesh may publish in the future.
Co-authors
The 25 scholars most cited alongside John Danesh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 350 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age Hit paper breakdown → | 2015 | 8539 |
| 2 | Genetic studies of body mass index yield new insights for obesity biology Hit paper breakdown → | 2015 | 3477 |
| 3 | C-Reactive Protein and Other Circulating Markers of Inflammation in the Prediction of Coronary Heart Disease Hit paper breakdown → | 2004 | 2492 |
| 4 | Discovery and refinement of loci associated with lipid levels Hit paper breakdown → | 2013 | 2380 |
| 5 | Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents Hit paper breakdown → | 2016 | 2103 |
| 6 | Prevalence of serious mental disorder in 7000 refugees resettled in western countries: a systematic review Hit paper breakdown → | 2005 | 1785 |
| 7 | Serious mental disorder in 23 000 prisoners: a systematic review of 62 surveys Hit paper breakdown → | 2002 | 1660 |
| 8 | Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes Hit paper breakdown → | 2012 | 1560 |
| 9 | PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations Hit paper breakdown → | 2019 | 1443 |
| 10 | Interpretation of the evidence for the efficacy and safety of statin therapy Hit paper breakdown → | 2016 | 1442 |
| 11 | Genomic atlas of the human plasma proteome Hit paper breakdown → | 2018 | 1433 |
| 12 | Low grade inflammation and coronary heart disease: prospective study and updated meta-analyses Hit paper breakdown → | 2000 | 1421 |
| 13 | Defining the role of common variation in the genomic and biological architecture of adult human height Hit paper breakdown → | 2014 | 1377 |
| 14 | Large-scale association analysis identifies new risk loci for coronary artery disease Hit paper breakdown → | 2012 | 1341 |
| 15 | New genetic loci link adipose and insulin biology to body fat distribution Hit paper breakdown → | 2015 | 1228 |
| 16 | Triglycerides and the Risk of Coronary Heart Disease Hit paper breakdown → | 2006 | 1167 |
| 17 | PhenoScanner: a database of human genotype–phenotype associations Hit paper breakdown → | 2016 | 1038 |
| 18 | Chronic infections and coronary heart disease: is there a link? Hit paper breakdown → | 1997 | 1000 |
| 19 | Association of Dietary, Circulating, and Supplement Fatty Acids With Coronary Risk Hit paper breakdown → | 2014 | 947 |
| 20 | The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease Hit paper breakdown → | 2016 | 873 |
About John Danesh
John Danesh is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 350 papers that have together received 86.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (98 papers), Lipoproteins and Cardiovascular Health (26 papers), Helicobacter pylori-related gastroenterology studies (20 papers), Epigenetics and DNA Methylation (20 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Genomics and Rare Diseases (14 papers), Bioinformatics and Genomic Networks (13 papers) and Liver Disease Diagnosis and Treatment (13 papers). The work is most often cited by research in Genetics (19.8k citations), Endocrinology, Diabetes and Metabolism (7.6k citations), Cardiology and Cardiovascular Medicine (8.6k citations), Physiology (6.7k citations) and Surgery (11.3k citations). John Danesh has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Rory Collins, Seena Fazel, Richard Peto, Vilmundur G. Gudnason, Jeremy Wheeler, Mina S. Fazel, Guðný Eiríksdóttir, Adam S. Butterworth, Cathie L. M. Sudlow and Naomi Allen. Their work appears in journals such as Nature Genetics, Nature Communications, The Lancet, Nature and European Heart Journal.
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.