John Danesh

126.4k total citations · 16 hit papers
129 papers, 29.9k citations indexed

About

John Danesh is a scholar working on Surgery, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, John Danesh has authored 129 papers receiving a total of 29.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Surgery, 31 papers in Genetics and 26 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in John Danesh's work include Genetic Associations and Epidemiology (29 papers), Lipoproteins and Cardiovascular Health (19 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers). John Danesh is often cited by papers focused on Genetic Associations and Epidemiology (29 papers), Lipoproteins and Cardiovascular Health (19 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers). John Danesh collaborates with scholars based in United Kingdom, United States and Italy. John Danesh's co-authors include Rory Collins, Seena Fazel, Richard Peto, Vilmundur Guðnason, Mina Fazel, Jeremy Wheeler, Guðný Eiríksdóttir, Adam S. Butterworth, Gordon Lowe and John Gallacher and has published in prestigious journals such as Nature, New England Journal of Medicine and The Lancet.

In The Last Decade

John Danesh

126 papers receiving 29.0k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

2015 6.9k citations John Danesh, Rory Collins et al. profile →
C-Reactive Protein and Other Circulating Markers of Inflammation in the Prediction of Coronary Heart Disease

2004 2.3k citations John Danesh et al. profile →
Prevalence of serious mental disorder in 7000 refugees resettled in western countries: a systematic review

2005 1.5k citations John Danesh et al. The Lancet profile →
Serious mental disorder in 23 000 prisoners: a systematic review of 62 surveys

2002 1.5k citations Seena Fazel, John Danesh The Lancet profile →
Low grade inflammation and coronary heart disease: prospective study and updated meta-analyses

2000 1.4k citations John Danesh profile →
PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations

2019 1.3k citations Mihir Kamat, James Blackshaw et al. Bioinformatics profile →
Triglycerides and the Risk of Coronary Heart Disease

2006 1.1k citations John Danesh et al. Circulation profile →
Chronic infections and coronary heart disease: is there a link?

1997 937 citations John Danesh, Rory Collins et al. The Lancet profile →
PhenoScanner: a database of human genotype–phenotype associations

2016 883 citations James R Staley, James Blackshaw et al. Bioinformatics profile →
Association of Dietary, Circulating, and Supplement Fatty Acids With Coronary Risk

2014 812 citations Rajiv Chowdhury, Adam S. Butterworth et al. profile →
Lipoprotein(a) and Coronary Heart Disease

2000 727 citations John Danesh, Rory Collins et al. Circulation profile →
Association of Apolipoprotein E Genotypes With Lipid Levels and Coronary Risk

2007 610 citations Emanuele Di Angelantonio, Bernard Keavney et al. JAMA profile →
Long-Term Interleukin-6 Levels and Subsequent Risk of Coronary Heart Disease: Two New Prospective Studies and a Systematic Review

2008 553 citations John Danesh, Stephen Kaptoge et al. profile →
Inflammatory cytokines and risk of coronary heart disease: new prospective study and updated meta-analysis

2013 504 citations Pei Gao, Adam S. Butterworth et al. European Heart Journal profile →
Association of Triglyceride-Lowering LPL Variants and LDL-C–Lowering LDLR Variants With Risk of Coronary Heart Disease

2019 437 citations Angela Wood, Adam S. Butterworth et al. JAMA profile →
The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation

2021 320 citations Samuel A. Lambert, Laurent Gil et al. Nature Genetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John Danesh United Kingdom	59	5.8k	5.7k	5.5k	4.6k	4.0k	129	29.9k
Aeilko H. Zwinderman Netherlands	102	10.2k 1.7×	6.0k 1.0×	7.8k 1.4×	2.1k 0.5×	3.4k 0.8×	669	41.7k
Terho Lehtimäki Finland	79	3.8k 0.6×	3.5k 0.6×	6.6k 1.2×	2.9k 0.6×	4.0k 1.0×	863	28.0k
Lisa Sullivan United States	96	4.2k 0.7×	6.0k 1.1×	8.7k 1.6×	1.8k 0.4×	7.0k 1.7×	393	35.1k
Rebecca DerSimonian United States	28	8.0k 1.4×	5.7k 1.0×	4.2k 0.8×	2.1k 0.5×	2.2k 0.5×	40	39.6k
Jesse A. Berlin United States	89	6.9k 1.2×	4.6k 0.8×	5.1k 0.9×	1.6k 0.4×	4.0k 1.0×	291	39.7k
Liam Smeeth United Kingdom	95	4.5k 0.8×	7.9k 1.4×	7.7k 1.4×	1.6k 0.3×	4.0k 1.0×	626	40.2k
Theo Stijnen Netherlands	78	5.1k 0.9×	3.4k 0.6×	4.5k 0.8×	1.7k 0.4×	2.5k 0.6×	369	30.8k
Shah Ebrahim United Kingdom	96	3.8k 0.6×	6.1k 1.1×	9.1k 1.7×	3.6k 0.8×	3.7k 0.9×	394	36.3k
Alan J. Silman United Kingdom	104	8.4k 1.4×	3.9k 0.7×	2.2k 0.4×	3.8k 0.8×	3.6k 0.9×	424	46.4k
Kay‐Tee Khaw United Kingdom	110	6.0k 1.0×	4.6k 0.8×	6.6k 1.2×	3.4k 0.7×	9.4k 2.3×	617	41.4k

Countries citing papers authored by John Danesh

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of John Danesh

This figure shows the co-authorship network connecting the top 25 collaborators of John Danesh. A scholar is included among the top collaborators of John Danesh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Danesh. John Danesh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Guo, Jing, Klaudia Walter, Pedro M. Quirós, et al.. (2024). Inherited polygenic effects on common hematological traits influence clonal selection on JAK2V617F and the development of myeloproliferative neoplasms. Nature Genetics. 56(2). 273–280. 10 indexed citations

Ritchie, Stephen, Xia Jiang, Lisa Pennells, et al.. (2024). Cardiovascular risk prediction using metabolomic biomarkers and polygenic risk scores: a cohort study and modelling analyses. European Heart Journal. 45(Supplement_1). 2 indexed citations

Kelemen, Martin, John Danesh, Emanuele Di Angelantonio, et al.. (2024). Evaluating the cost-effectiveness of polygenic risk score-stratified screening for abdominal aortic aneurysm. Nature Communications. 15(1). 8063–8063. 3 indexed citations

Duijvenboden, Stefan van, Christopher P. Nelson, Zahra Raisi‐Estabragh, et al.. (2024). Leucocyte telomere length and conduction system ageing. Heart. 111(7). 314–320.

Butterworth, Adam S., Rajiv Chowdhury, John Danesh, et al.. (2023). Risk Factors of Secondary Cardiovascular Events in a Multi-Ethnic Asian Population with Acute Myocardial Infarction: A Retrospective Cohort Study from Malaysia. Journal of Cardiovascular Development and Disease. 10(6). 250–250. 3 indexed citations

Thomas, Patrick, Joana Batista, Carly Kempster, et al.. (2023). A signature of platelet reactivity in CBC scattergrams reveals genetic predictors of thrombotic disease risk. Blood. 142(22). 1895–1908. 5 indexed citations

Chen, Lingyan, James E. Peters, Bram P. Prins, et al.. (2022). Systematic Mendelian randomization using the human plasma proteome to discover potential therapeutic targets for stroke. Nature Communications. 13(1). 6143–6143. 59 indexed citations

Foguet, Carles, Yu Xu, Scott C. Ritchie, et al.. (2022). Genetically personalised organ-specific metabolic models in health and disease. Nature Communications. 13(1). 7356–7356. 13 indexed citations

Paranjpe, Manish, Mark Chaffin, Scott C. Ritchie, et al.. (2022). Neurocognitive trajectory and proteomic signature of inherited risk for Alzheimer’s disease. PLoS Genetics. 18(9). e1010294–e1010294. 3 indexed citations

10.

Riveros-Mckay, Fernando, David J. Roberts, Emanuele Di Angelantonio, et al.. (2021). An Expanded Genome-Wide Association Study of Fructosamine Levels Identifies RCN3 as a Replicating Locus and Implicates FCGRT as the Effector Transcript. Diabetes. 71(2). 359–364. 2 indexed citations

11.

Lambert, Samuel A., Laurent Gil, Simon Jupp, et al.. (2021). The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation. Nature Genetics. 53(4). 420–425. 320 indexed citations breakdown →

12.

Gaziano, Liam, Kelly Cho, Luc Djoussé, et al.. (2021). Risk Factors and Prediction Models for Incident Heart Failure with Reduced and Preserved Ejection Fraction. ESC Heart Failure. 8(6). 4893–4903. 17 indexed citations

13.

Bell, Steven, Michael Sweeting, Anna Ramond, et al.. (2020). Comparison of four methods to measure haemoglobin concentrations in whole blood donors ( COMPARE ): A diagnostic accuracy study. Transfusion Medicine. 31(2). 94–103. 11 indexed citations

14.

Abraham, Gad, Rainer Malik, Ekaterina Yonova-Doing, et al.. (2019). Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke. Nature Communications. 10(1). 5819–5819. 108 indexed citations

15.

Staley, James R, James Blackshaw, Mihir Kamat, et al.. (2016). PhenoScanner: a database of human genotype–phenotype associations. Bioinformatics. 32(20). 3207–3209. 883 indexed citations breakdown →

16.

Angelantonio, Emanuele Di, Pei Gao, & John Danesh. (2012). Cardiovascular Disease Risk Prediction Factors—Reply. JAMA. 308(19). 1969–1969. 2 indexed citations

17.

Sehmi, Joban, Danish Saleheen, Ian Yeo, et al.. (2011). A genome-wide association study in Indian Asians identifies five novel genetic variants for type-2 diabetes. European Heart Journal. 32. 357–357. 2 indexed citations

18.

Fazel, Seena, et al.. (2005). Suicides in male prisoners in England and Wales, 1978–2003. The Lancet. 366(9493). 1301–1302. 125 indexed citations

19.

Youngman, Linda, Bernard Keavney, Andrew Palmer, et al.. (2000). Plasma fibrinogen and fibrinogen genotypes in 4685 cases of myocardial infarction and in 6002 controls: Test of causality by "Mendelian randomisation". Circulation. 102. 31–32. 43 indexed citations

20.

Danesh, John, John Koreth, Linda Youngman, et al.. (1999). Is Helicobacter pylori a Factor in Coronary Atherosclerosis?. Journal of Clinical Microbiology. 37(5). 1651–1651. 20 indexed citations

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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