Alexander Pate

613 total citations
24 papers, 247 citations indexed

About

Alexander Pate is a scholar working on Epidemiology, Economics and Econometrics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Alexander Pate has authored 24 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 12 papers in Economics and Econometrics and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Alexander Pate's work include Health Systems, Economic Evaluations, Quality of Life (12 papers), Chronic Disease Management Strategies (10 papers) and Health Promotion and Cardiovascular Prevention (5 papers). Alexander Pate is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (12 papers), Chronic Disease Management Strategies (10 papers) and Health Promotion and Cardiovascular Prevention (5 papers). Alexander Pate collaborates with scholars based in United Kingdom, Netherlands and Denmark. Alexander Pate's co-authors include Tjeerd van Staa, Glen P. Martin, Matthew Sperrin, Richard Emsley, Darren M. Ashcroft, Richard D Riley, Gary S. Collins, Ben Van Calster, Maarten van Smeden and Joie Ensor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Clinical Epidemiology.

In The Last Decade

Alexander Pate

24 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Pate United Kingdom 9 51 43 38 34 33 24 247
Michelle Smerek United States 7 51 1.0× 65 1.5× 27 0.7× 52 1.5× 72 2.2× 13 332
Kim Luijken Netherlands 9 34 0.7× 49 1.1× 53 1.4× 18 0.5× 18 0.5× 26 323
Janneke M. T. Hendriksen Netherlands 9 74 1.5× 21 0.5× 24 0.6× 35 1.0× 36 1.1× 10 333
Pavlos Mamouris Belgium 12 53 1.0× 12 0.3× 22 0.6× 20 0.6× 23 0.7× 28 321
J.D. Rueda Colombia 8 25 0.5× 24 0.6× 74 1.9× 72 2.1× 100 3.0× 22 346
Meetali Kakad Norway 5 42 0.8× 32 0.7× 122 3.2× 117 3.4× 84 2.5× 6 312
Chris Knoll United States 4 30 0.6× 41 1.0× 23 0.6× 14 0.4× 62 1.9× 4 260
Dinesh Pal Mudaranthakam United States 9 28 0.5× 10 0.2× 46 1.2× 18 0.5× 43 1.3× 51 253
José J. Hernández‐Muñoz United States 10 111 2.2× 10 0.2× 33 0.9× 32 0.9× 26 0.8× 40 317
Dolly Han Canada 10 46 0.9× 20 0.5× 103 2.7× 88 2.6× 77 2.3× 15 381

Countries citing papers authored by Alexander Pate

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Pate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Pate

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Pate. A scholar is included among the top collaborators of Alexander Pate 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 Alexander Pate. Alexander Pate 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.
Pate, Alexander, Anita Sharma, Darren M. Ashcroft, et al.. (2025). Antibiotics for common infections in primary care before, during and after the COVID-19 pandemic: cohort study of extent of prescribing based on risks of infection-related hospital admissions. Journal of the Royal Society of Medicine. 118(4). 126–137. 1 indexed citations
4.
Ashiru‐Oredope, Diane, Neil Cunningham, Alexander Pate, et al.. (2024). Rapid systematic review on risks and outcomes of sepsis: the influence of risk factors associated with health inequalities. International Journal for Equity in Health. 23(1). 34–34. 6 indexed citations
5.
Pate, Alexander, Matthew Sperrin, Richard D Riley, et al.. (2024). Calibration plots for multistate risk prediction models. Statistics in Medicine. 43(14). 2830–2852. 2 indexed citations
6.
Pate, Alexander, Darren M. Ashcroft, Ben Goldacre, et al.. (2023). The impact of COVID-19 on antibiotic prescribing in primary care in England: Evaluation and risk prediction of appropriateness of type and repeat prescribing. Journal of Infection. 87(1). 1–11. 7 indexed citations
7.
Pate, Alexander, Darren M. Ashcroft, Ben Goldacre, et al.. (2023). Impact of COVID-19 on broad-spectrum antibiotic prescribing for common infections in primary care in England: a time-series analyses using OpenSAFELY and effects of predictors including deprivation. The Lancet Regional Health - Europe. 30. 100653–100653. 10 indexed citations
8.
Pate, Alexander, Rowena Bailey, James Rafferty, et al.. (2023). A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods. Journal of Clinical Epidemiology. 165. 111214–111214. 7 indexed citations
9.
Riley, Richard D, Alexander Pate, Paula Dhiman, et al.. (2023). Clinical prediction models and the multiverse of madness. BMC Medicine. 21(1). 502–502. 21 indexed citations
10.
Pate, Alexander, Matthew Sperrin, Richard D Riley, et al.. (2023). Developing prediction models to estimate the risk of two survival outcomes both occurring: A comparison of techniques. Statistics in Medicine. 42(18). 3184–3207. 2 indexed citations
11.
Rafferty, James, Alan Watkins, Jane Lyons, et al.. (2021). Ranking sets of morbidities using hypergraph centrality. Journal of Biomedical Informatics. 122. 103916–103916. 7 indexed citations
12.
Pate, Alexander, Tjeerd van Staa, & Richard Emsley. (2020). An assessment of the potential miscalibration of cardiovascular disease risk predictions caused by a secular trend in cardiovascular disease in England. BMC Medical Research Methodology. 20(1). 4 indexed citations
13.
Pate, Alexander, Richard Emsley, Matthew Sperrin, Glen P. Martin, & Tjeerd van Staa. (2020). Impact of sample size on the stability of risk scores from clinical prediction models: a case study in cardiovascular disease. SHILAP Revista de lepidopterología. 4(1). 14–14. 17 indexed citations
14.
Martin, Glen P., David Jenkins, Lucy M. Bull, et al.. (2020). Toward a framework for the design, implementation, and reporting of methodology scoping reviews. Journal of Clinical Epidemiology. 127. 191–197. 23 indexed citations
15.
Pate, Alexander, Richard Emsley, & Tjeerd van Staa. (2020). Impact of lowering the risk threshold for statin treatment on statin prescribing: a descriptive study in English primary care. British Journal of General Practice. 70(700). e765–e771. 2 indexed citations
16.
Pate, Alexander, Rachel Elliott, Georgios Gkountouras, et al.. (2020). The impact of statin discontinuation and restarting rates on the optimal time to initiate statins and on the number of cardiovascular events prevented. Pharmacoepidemiology and Drug Safety. 29(6). 644–652. 4 indexed citations
17.
Yan, Li, et al.. (2019). Do population-level risk prediction models that use routinely collected health data reliably predict individual risks?. Scientific Reports. 9(1). 11222–11222. 22 indexed citations
18.
Pate, Alexander, Richard Emsley, Darren M. Ashcroft, Benjamin Brown, & Tjeerd van Staa. (2019). The uncertainty with using risk prediction models for individual decision making: an exemplar cohort study examining the prediction of cardiovascular disease in English primary care. BMC Medicine. 17(1). 134–134. 25 indexed citations
19.
Pate, Alexander, David J. Webb, Jeanne M. Pimenta, et al.. (2018). Study investigating the generalisability of a COPD trial based in primary care (Salford Lung Study) and the presence of a Hawthorne effect. BMJ Open Respiratory Research. 5(1). e000339–e000339. 12 indexed citations
20.
Pate, Alexander, et al.. (2016). Cohort Multiple Randomised Controlled Trials (cmRCT) design: efficient but biased? A simulation study to evaluate the feasibility of the Cluster cmRCT design. BMC Medical Research Methodology. 16(1). 109–109. 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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