Riyaz Patel

20.4k total citations · 1 hit paper
64 papers, 2.0k citations indexed

About

Riyaz Patel is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, Riyaz Patel has authored 64 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cardiology and Cardiovascular Medicine, 18 papers in Epidemiology and 16 papers in Surgery. Recurrent topics in Riyaz Patel's work include Genetic Associations and Epidemiology (9 papers), Lipoproteins and Cardiovascular Health (8 papers) and Acute Myocardial Infarction Research (7 papers). Riyaz Patel is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Lipoproteins and Cardiovascular Health (8 papers) and Acute Myocardial Infarction Research (7 papers). Riyaz Patel collaborates with scholars based in United Kingdom, United States and Netherlands. Riyaz Patel's co-authors include Harry Hemingway, Aroon D. Hingorani, Folkert W. Asselbergs, Spiros Denaxas, Amand F. Schmidt, Arshed A. Quyyumi, Chris Finan, Massimo Slavich, Anoop D Shah and Magdalena Zwierzyna and has published in prestigious journals such as The Lancet, Circulation and Nature Communications.

In The Last Decade

Riyaz Patel

59 papers receiving 2.0k citations

Hit Papers

Genetic drug target validation using Mendelian randomisation 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riyaz Patel United Kingdom 26 718 350 332 326 303 64 2.0k
Reecha Sofat United Kingdom 23 835 1.2× 399 1.1× 248 0.7× 294 0.9× 300 1.0× 71 2.3k
Laura J. Rasmussen‐Torvik United States 23 926 1.3× 332 0.9× 368 1.1× 486 1.5× 438 1.4× 94 2.4k
Susan Colilla United States 17 1.0k 1.5× 492 1.4× 359 1.1× 218 0.7× 306 1.0× 30 2.4k
Jiaxiao Shi United States 24 606 0.8× 261 0.7× 354 1.1× 159 0.5× 248 0.8× 101 2.3k
Diana Brixner United States 29 450 0.6× 348 1.0× 326 1.0× 209 0.6× 187 0.6× 174 2.7k
Paulo Nicola Portugal 22 1.2k 1.7× 346 1.0× 323 1.0× 135 0.4× 395 1.3× 51 4.5k
Nathalie Conrad United Kingdom 17 1.3k 1.9× 377 1.1× 308 0.9× 108 0.3× 205 0.7× 34 2.6k
Suzette J. Bielinski United States 33 844 1.2× 440 1.3× 358 1.1× 614 1.9× 844 2.8× 154 3.7k
Joongyub Lee South Korea 32 444 0.6× 422 1.2× 593 1.8× 151 0.5× 236 0.8× 173 3.3k
James S. Floyd United States 25 639 0.9× 243 0.7× 261 0.8× 115 0.4× 216 0.7× 81 1.9k

Countries citing papers authored by Riyaz Patel

Since Specialization
Citations

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

Fields of papers citing papers by Riyaz Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riyaz Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Riyaz Patel. A scholar is included among the top collaborators of Riyaz Patel 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 Riyaz Patel. Riyaz Patel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schunkert, Heribert, Emanuele Di Angelantonio, Michael Inouye, et al.. (2024). Clinical utility and implementation of polygenic risk scores for predicting cardiovascular disease. European Heart Journal. 46(15). 1372–1383. 25 indexed citations
4.
Dębiec, Radosław, Vassiliki Bountziouka, Richard Bramley, et al.. (2023). Evaluating the clinical effectiveness of the NHS Health Check programme: a prospective analysis in the Genetics and Vascular Health Check (GENVASC) study. BMJ Open. 13(5). e068025–e068025. 2 indexed citations
5.
Gratton, Jasmine, Steve E. Humphries, Amand F. Schmidt, et al.. (2023). Modelling a two-stage adult population screen for autosomal dominant familial hypercholesterolaemia: cross-sectional analysis within the UK Biobank. SHILAP Revista de lepidopterología. 1(1). e000021–e000021. 2 indexed citations
6.
Hingorani, Aroon D., Jasmine Gratton, Chris Finan, et al.. (2023). Performance of polygenic risk scores in screening, prediction, and risk stratification: secondary analysis of data in the Polygenic Score Catalog. SHILAP Revista de lepidopterología. 2(1). e000554–e000554. 38 indexed citations
7.
Huang, Yun-Ting, et al.. (2023). The Impact of Long-Term Conditions and Comorbidity Patterns on COVID-19 Infection and Hospitalisation: A Cohort Study. Gerontology. 69(10). 1200–1210. 5 indexed citations
8.
Patel, Riyaz, Laura Pasea, Handrean Soran, et al.. (2022). Elevated plasma triglyceride concentration and risk of adverse clinical outcomes in 1.5 million people: a CALIBER linked electronic health record study. Cardiovascular Diabetology. 21(1). 102–102. 23 indexed citations
9.
Patel, Riyaz, Spiros Denaxas, Laurence J Howe, et al.. (2022). Reproducible disease phenotyping at scale: Example of coronary artery disease in UK Biobank. PLoS ONE. 17(4). e0264828–e0264828. 4 indexed citations
10.
Katsoulis, Michail, Bianca De Stavola, Karla Díaz-Ordaz, et al.. (2021). Weight Change and the Onset of Cardiovascular Diseases: Emulating Trials Using Electronic Health Records. Epidemiology. 32(5). 744–755. 17 indexed citations
12.
Bonnici, Timothy, et al.. (2021). Performance of universal early warning scores in different patient subgroups and clinical settings: a systematic review. BMJ Open. 11(4). e045849–e045849. 15 indexed citations
13.
Howe, Laurence J, Frank Dudbridge, Amand F. Schmidt, et al.. (2020). Polygenic risk scores for coronary artery disease and subsequent event risk amongst established cases. Human Molecular Genetics. 29(8). 1388–1395. 23 indexed citations
14.
Patel, Riyaz, Sharmani Barnard, Katherine Thompson, et al.. (2020). Evaluation of the uptake and delivery of the NHS Health Check programme in England, using primary care data from 9.5 million people: a cross-sectional study. BMJ Open. 10(11). e042963–e042963. 38 indexed citations
15.
Akyea, Ralph Kwame, Jo Leonardi‐Bee, Folkert W. Asselbergs, et al.. (2020). Predicting major adverse cardiovascular events for secondary prevention: protocol for a systematic review and meta-analysis of risk prediction models. BMJ Open. 10(7). e034564–e034564. 14 indexed citations
16.
Parisinos, Constantinos A., Stylianos Serghiou, Michail Katsoulis, et al.. (2018). Variation in Interleukin 6 Receptor Gene Associates With Risk of Crohn’s Disease and Ulcerative Colitis. Gastroenterology. 155(2). 303–306.e2. 44 indexed citations
17.
Schnier, Christian, Spiros Denaxas, Rosalind M. Eggo, et al.. (2017). Identification and validation of myocardial infarction and stroke outcomes at scale in UK Biobank. International Journal for Population Data Science. 1(1). 10 indexed citations
18.
Eapen, Danny J., Pankaj Manocha, Riyaz Patel, et al.. (2013). Aggregate Risk Score Based on Markers of Inflammation, Cell Stress, and Coagulation Is an Independent Predictor of Adverse Cardiovascular Outcomes. Journal of the American College of Cardiology. 62(4). 329–337. 71 indexed citations
19.
Menon, Vivek, Joseph Poole, Emir Veledar, et al.. (2011). Abstract 17432: Influence of Smoking on Arterial Stiffness - A Racial Comparison. Circulation. 124(suppl_21). 6 indexed citations
20.
Murrow, Jonathan R., Ibhar Al Mheid, Nino Kavtaradze, et al.. (2010). ASSOCIATION OF PLASMA MATRIX METALLOPROTEINASE-9 LEVELS WITH SUBCLINICAL ATHEROSCLEROSIS AND VASCULAR STIFFNESS IN HEALTHY SUBJECTS. Journal of the American College of Cardiology. 55(10). A169.E1589–A169.E1589. 1 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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