John Danesh
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- Diabetes, Cardiovascular Risks, and Lipoproteins 18
- Epidemiology top 0.2%
- Adipokines, Inflammation, and Metabolic Diseases 14
- Genetics top 0.1%
- Genetic Associations and Epidemiology 29
- Clinical Psychology top 0.5%
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- Lipoproteins and Cardiovascular Health 19
- Helicobacter pylori-related gastroenterology studies 17
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- Blood properties and coagulation 7
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- Reproductive tract infections research 7
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- Galectins and Cancer Biology 7
- Co-authors
- Rory CollinsSeena FazelRichard PetoVilmundur GuðnasonMina FazelJeremy WheelerGuðný EiríksdóttirAdam S. Butterworth
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
John Danesh
126 papers receiving 29.0k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Endocrinology, Diabetes and Metabolism 4.0k
- Cardiology and Cardiovascular Medicine 5.5k
- Epidemiology 5.7k
- Genetics 4.6k
- Clinical Psychology 3.2k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 59 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 3 | |
| 10 | The Polygenic Score Catalog as an open database for reproducibility and systematic evaluationbreakdown → | 2021 | 320 |
| 11 | 2020 | 11 | |
| 12 | 2019 | 108 | |
| 13 | 2015 | 2 | |
| 14 | 2012 | 2 | |
| 15 | A genome-wide association study in Indian Asians identifies five novel genetic variants for type-2 diabetes | 2011 | 2 |
| 16 | Lipoprotein-associated phospholipase A(2) activity and mass in relation to vascular disease and nonvascular mortality | 2010 | 29 |
| 17 | 2005 | 125 | |
| 18 | Plasma fibrinogen and fibrinogen genotypes in 4685 cases of myocardial infarction and in 6002 controls: Test of causality by "Mendelian randomisation" | 2000 | 43 |
| 19 | 1999 | 20 | |
| 20 | 1999 | 109 |
About John Danesh
John Danesh is a scholar working on Aging, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 129 papers that have together received 29.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (29 papers), Lipoproteins and Cardiovascular Health (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Helicobacter pylori-related gastroenterology studies (17 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers), Blood properties and coagulation (7 papers), Reproductive tract infections research (7 papers) and Galectins and Cancer Biology (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.0k citations), Cardiology and Cardiovascular Medicine (5.5k citations) and Epidemiology (5.7k citations). John Danesh has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Rory Collins, Seena Fazel, Richard Peto, Vilmundur Guðnason, Mina Fazel, Jeremy Wheeler, Guðný Eiríksdóttir, Adam S. Butterworth, Gordon Lowe and Paul M. Matthews. Their work appears in journals such as The Lancet, European Heart Journal, Circulation, PLoS Medicine and JAMA.
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.