Spiros Denaxas

19.4k total citations · 4 hit papers
186 papers, 7.7k citations indexed

About

Spiros Denaxas is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, Spiros Denaxas has authored 186 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Cardiology and Cardiovascular Medicine, 47 papers in Epidemiology and 29 papers in Molecular Biology. Recurrent topics in Spiros Denaxas's work include Chronic Disease Management Strategies (32 papers), Machine Learning in Healthcare (27 papers) and Biomedical Text Mining and Ontologies (20 papers). Spiros Denaxas is often cited by papers focused on Chronic Disease Management Strategies (32 papers), Machine Learning in Healthcare (27 papers) and Biomedical Text Mining and Ontologies (20 papers). Spiros Denaxas collaborates with scholars based in United Kingdom, United States and Netherlands. Spiros Denaxas's co-authors include Harry Hemingway, Anoop D Shah, Adam Timmis, Liam Smeeth, Mar Pujades‐Rodríguez, Eleni Rapsomaniki, Aroon D. Hingorani, John Deanfield, Julie George and Claudia Langenberg and has published in prestigious journals such as The Lancet, Circulation and Nature Medicine.

In The Last Decade

Spiros Denaxas

174 papers receiving 7.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people

2014 1.2k citations Anoop D Shah, Spiros Denaxas et al. profile →
Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1·9 million people

2014 817 citations Anoop D Shah, Claudia Langenberg et al. profile →
Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study

2020 330 citations Amitava Banerjee, Laura Pasea et al. profile →
Comparing clinical trial population representativeness to real-world populations: an external validity analysis encompassing 43 895 trials and 5 685 738 individuals across 989 unique drugs and 286 conditions in England

2022 133 citations Václav Papež, Spiros Denaxas et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Spiros Denaxas United Kingdom	40	2.7k	1.3k	1.1k	811	787	186	7.7k
Anoop D Shah United Kingdom	29	2.1k 0.8×	895 0.7×	900 0.8×	648 0.8×	594 0.8×	68	5.5k
Rohan Khera United States	45	2.7k 1.0×	1.1k 0.8×	644 0.6×	1.2k 1.5×	384 0.5×	263	7.0k
Martin Landray United Kingdom	37	2.1k 0.8×	1.3k 1.0×	1.2k 1.1×	1.5k 1.9×	1.4k 1.8×	124	11.4k
Girish N. Nadkarni United States	44	1.3k 0.5×	950 0.7×	680 0.6×	999 1.2×	752 1.0×	348	7.7k
Mouaz H. Al‐Mallah United States	44	3.9k 1.5×	775 0.6×	645 0.6×	1.1k 1.4×	404 0.5×	347	7.7k
Michael E. Matheny United States	52	1.2k 0.4×	1.9k 1.5×	760 0.7×	1.0k 1.3×	909 1.2×	265	9.7k
Chris P Gale United Kingdom	50	5.6k 2.1×	1.1k 0.9×	963 0.9×	1.4k 1.7×	587 0.7×	344	10.4k
Jennifer G. Robinson United States	20	3.5k 1.3×	942 0.7×	1.6k 1.4×	2.0k 2.4×	429 0.5×	33	7.8k
Iftikhar J. Kullo United States	53	2.6k 1.0×	1.2k 0.9×	911 0.8×	2.3k 2.8×	1.9k 2.4×	289	9.3k
Amitava Banerjee United Kingdom	44	3.8k 1.4×	1.1k 0.8×	551 0.5×	893 1.1×	428 0.5×	289	8.7k

Countries citing papers authored by Spiros Denaxas

Since Specialization

Citations

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

Fields of papers citing papers by Spiros Denaxas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Spiros Denaxas

This figure shows the co-authorship network connecting the top 25 collaborators of Spiros Denaxas. A scholar is included among the top collaborators of Spiros Denaxas 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 Spiros Denaxas. Spiros Denaxas 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

Pineda‐Moncusí, Marta, Hoda Abbasizanjani, Albert Prats‐Uribe, et al.. (2025). Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022. Nature Communications. 16(1). 6059–6059. 1 indexed citations

Keene, Spencer, Hoda Abbasizanjani, Fatemeh Torabi, et al.. (2024). Risks of major arterial and venous thrombotic diseases after hospitalisation for influenza, pneumonia, and COVID-19: A population-wide cohort in 2.6 million people in Wales. Thrombosis Research. 245. 109213–109213. 6 indexed citations

White, Becky L., Matthew Barclay, Meena Rafiq, et al.. (2024). Differences in recording of cancer diagnosis between datasets in England: A population-based study of linked cancer registration, hospital, and primary care data. Cancer Epidemiology. 94. 102703–102703. 1 indexed citations

Abbasizanjani, Hoda, Fatemeh Torabi, Stuart Bedston, et al.. (2023). Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration. BMC Medical Informatics and Decision Making. 23(1). 8–8. 12 indexed citations

Makadia, Rupa, Azza Shoaibi, Gowtham Rao, et al.. (2023). Evaluating the impact of alternative phenotype definitions on incidence rates across a global data network. JAMIA Open. 6(4). ooad096–ooad096. 1 indexed citations

Asselbergs, Folkert W., Spiros Denaxas, Daniel L. Oberski, & Jason H. Moore. (2023). Clinical Applications of Artificial Intelligence in Real-World Data. 2 indexed citations

Josephson, Colin B., Arturo González-Izquierdo, Jordan D. T. Engbers, et al.. (2023). Association of comorbid-socioeconomic clusters with mortality in late onset epilepsy derived through unsupervised machine learning. Seizure. 111. 58–67. 1 indexed citations

Tomlinson, Christopher, Bilal A. Mateen, Hari Krishnan Kanthimathinathan, et al.. (2023). Hospital admissions linked to SARS-CoV-2 infection in children and adolescents: cohort study of 3.2 million first ascertained infections in England. BMJ. 382. e073639–e073639. 14 indexed citations

Josephson, Colin B., Arturo González-Izquierdo, Spiros Denaxas, et al.. (2023). Independent Associations of Incident Epilepsy and Enzyme-Inducing and Non–Enzyme-Inducing Antiseizure Medications With the Development of Osteoporosis. JAMA Neurology. 80(8). 843–843. 11 indexed citations

10.

Papež, Václav, Erica A. Voss, Elena Garcia Lara, et al.. (2022). Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond. Journal of the American Medical Informatics Association. 30(1). 103–111. 27 indexed citations

11.

Handy, Álex, Amitava Banerjee, Angela Wood, et al.. (2022). Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort. Heart. 108(12). 923–931. 12 indexed citations

12.

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

13.

Pathak, Neha, Claire X. Zhang, Rachel Burns, et al.. (2021). Development and Validation of a Primary Care Electronic Health Record Phenotype to Study Migration and Health in the UK. International Journal of Environmental Research and Public Health. 18(24). 13304–13304. 4 indexed citations

14.

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

15.

Wood, Angela, Rachel Denholm, Sam Hollings, et al.. (2021). Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource. BMJ. 373. n826–n826. 93 indexed citations

16.

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

17.

Denaxas, Spiros, Anoop D Shah, Bilal A. Mateen, et al.. (2020). A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems. JAMIA Open. 3(4). 545–556. 14 indexed citations

18.

Dennis, John, Bilal A. Mateen, Raphael Sonabend, et al.. (2020). Type 2 Diabetes and COVID-19–Related Mortality in the Critical Care Setting: A National Cohort Study in England, March–July 2020. Diabetes Care. 44(1). 50–57. 120 indexed citations

19.

Dickerman, Barbra A., Xabier García‐Albéniz, Roger Logan, Spiros Denaxas, & Miguel A. Hernán. (2019). Avoidable flaws in observational analyses: an application to statins and cancer. Nature Medicine. 25(10). 1601–1606. 191 indexed citations

20.

Josephson, Colin B., Arturo González-Izquierdo, Spiros Denaxas, et al.. (2017). Serotonin reuptake inhibitors and mortality in epilepsy: A linked primary‐care cohort study. Epilepsia. 58(11). 2002–2009. 7 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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