Clémence Leyrat

2.8k total citations
72 papers, 1.3k citations indexed

About

Clémence Leyrat is a scholar working on Statistics and Probability, Economics and Econometrics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Clémence Leyrat has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Statistics and Probability, 21 papers in Economics and Econometrics and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Clémence Leyrat's work include Advanced Causal Inference Techniques (29 papers), Statistical Methods and Bayesian Inference (20 papers) and Health Systems, Economic Evaluations, Quality of Life (18 papers). Clémence Leyrat is often cited by papers focused on Advanced Causal Inference Techniques (29 papers), Statistical Methods and Bayesian Inference (20 papers) and Health Systems, Economic Evaluations, Quality of Life (18 papers). Clémence Leyrat collaborates with scholars based in United Kingdom, France and United States. Clémence Leyrat's co-authors include Brennan C Kahan, Bruno Giraudeau, Katy E. Morgan, Elizabeth Williamson, Baptiste Leurent, Agnès Caille, Liam Smeeth, Sandra Eldridge, James R. Carpenter and Ian Douglas and has published in prestigious journals such as PLoS ONE, Scientific Reports and American Journal of Epidemiology.

In The Last Decade

Clémence Leyrat

61 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Clémence Leyrat United Kingdom	19	403	203	170	141	127	72	1.3k
M. Sanni Ali United Kingdom	19	176 0.4×	207 1.0×	193 1.1×	98 0.7×	138 1.1×	45	1.2k
Michael A. Hussey United States	12	195 0.5×	152 0.7×	210 1.2×	200 1.4×	327 2.6×	24	1.9k
Edward H. Kennedy United States	20	361 0.9×	190 0.9×	177 1.0×	85 0.6×	129 1.0×	66	1.1k
Beth Woods United Kingdom	15	82 0.2×	370 1.8×	179 1.1×	112 0.8×	187 1.5×	59	1.5k
Hannah Ewald Switzerland	18	72 0.2×	132 0.7×	184 1.1×	157 1.1×	123 1.0×	50	952
Minggen Lu United States	18	218 0.5×	83 0.4×	269 1.6×	140 1.0×	213 1.7×	93	1.2k
Adrian R. Levy Canada	14	133 0.3×	158 0.8×	278 1.6×	100 0.7×	107 0.8×	19	1.1k
Layla Parast United States	24	226 0.6×	278 1.4×	446 2.6×	308 2.2×	557 4.4×	107	2.1k
Catherine R. Lesko United States	24	432 1.1×	261 1.3×	586 3.4×	211 1.5×	315 2.5×	112	1.9k
Roee Gutman United States	21	164 0.4×	188 0.9×	192 1.1×	197 1.4×	319 2.5×	100	1.4k

Countries citing papers authored by Clémence Leyrat

Since Specialization

Citations

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

Fields of papers citing papers by Clémence Leyrat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clémence Leyrat

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

Wong, Angel, Charlotte Warren‐Gash, Krishnan Bhaskaran, et al.. (2025). Potential interactions between antimicrobials and direct oral anticoagulants: Population-based cohort and case-crossover study. Heart Rhythm. 22(7). 1648–1658. 1 indexed citations

Wong, Angel, Anna Schultze, Catherine M. Clase, et al.. (2024). Effectiveness and risk of ARB and ACEi among different ethnic groups in England: A reference trial (ONTARGET) emulation analysis using UK Clinical Practice Research Datalink Aurum-linked data. PLoS Medicine. 21(9). e1004465–e1004465. 2 indexed citations

Katsoulis, Michail, Clémence Leyrat, Aroon D. Hingorani, & Manuel Gomes. (2024). Bariatric Surgery and Cardiovascular Disease: The Target Trial Emulation Framework Provides Transparency in Articulating the Limits of Observational Studies. Epidemiology. 35(5). 730–733.

Wong, Angel, Anna Schultze, Catherine M. Clase, et al.. (2024). Cardiorenal effects of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers among people underrepresented in trials: analysis of routinely collected data with emulation of a reference trial (ONTARGET). American Journal of Epidemiology. 193(12). 1785–1795. 3 indexed citations

Hajage, David, Bernard Rachet, Elizabeth Williamson, et al.. (2024). On variance estimation of the inverse probability‐of‐treatment weighting estimator: A tutorial for different types of propensity score weights. Statistics in Medicine. 43(13). 2672–2694. 4 indexed citations

Wong, Angel, Charlotte Warren‐Gash, Krishnan Bhaskaran, et al.. (2024). Potential interactions between direct oral anticoagulants and atorvastatin/simvastatin: a cohort and case-crossover study. British Journal of General Practice. 75(756). e466–e473.

Wong, Angel YS, Charlotte Warren‐Gash, Krishnan Bhaskaran, et al.. (2024). Potential interactions between medications for rate control and direct oral anticoagulants: Population-based cohort and case-crossover study. Heart Rhythm. 21(12). 2445–2454. 3 indexed citations

Leyrat, Clémence, Sandra Eldridge, Monica Taljaard, & Karla Hemming. (2024). Practical considerations for sample size calculation for cluster randomized trials. PubMed. 72(1). 202198–202198. 8 indexed citations

Leyrat, Clémence, et al.. (2023). Propensity score matching after multiple imputation when a confounder has missing data. Statistics in Medicine. 42(7). 1082–1095. 6 indexed citations

10.

Pilleron, Sophie, Camille Maringe, Eva Morris, & Clémence Leyrat. (2023). Immortal-time bias in older vs younger age groups: a simulation study with application to a population-based cohort of patients with colon cancer. British Journal of Cancer. 128(8). 1521–1528. 5 indexed citations

11.

Leyrat, Clémence, et al.. (2023). Addressing missing data in the estimation of time‐varying treatments in comparative effectiveness research. Statistics in Medicine. 42(27). 5025–5038. 4 indexed citations

12.

Brown, Jeremy, Kevin Wing, Clémence Leyrat, et al.. (2023). Association Between Fluoroquinolone Use and Hospitalization With Aortic Aneurysm or Aortic Dissection. JAMA Cardiology. 8(9). 865–865. 10 indexed citations

13.

Bhate, Ketaki, Kathryn E. Mansfield, Sarah‐Jo Sinnott, et al.. (2022). Long-term oral antibiotic use in people with acne vulgaris in UK primary care: a drug utilization study. British Journal of Dermatology. 188(3). 361–371. 3 indexed citations

14.

Wong, Angel, Anna Schultze, Marianne Cunnington, et al.. (2022). Effects of ACE inhibitors and angiotensin receptor blockers: protocol for a UK cohort study using routinely collected electronic health records with validation against the ONTARGET trial. BMJ Open. 12(3). e051907–e051907. 4 indexed citations

15.

Keogh, Ruth H., Rebecca Cosgriff, Eleni‐Rosalina Andrinopoulou, et al.. (2021). Projecting the impact of triple CFTR modulator therapy on intravenous antibiotic requirements in cystic fibrosis using patient registry data combined with treatment effects from randomised trials. Thorax. 77(9). 873–881. 17 indexed citations

16.

Bhate, Ketaki, Liang-Yu Lin, John S. Barbieri, et al.. (2021). Is there an association between long-term antibiotics for acne and subsequent infection sequelae and antimicrobial resistance? A systematic review. BJGP Open. 5(3). BJGPO.2020.0181–BJGPO.2020.0181. 9 indexed citations

17.

Borgne, Florent Le, et al.. (2021). G-computation and doubly robust standardisation for continuous-time data: A comparison with inverse probability weighting. Statistical Methods in Medical Research. 31(4). 706–718. 6 indexed citations

18.

Mansfield, Kathryn E., Dorothea Nitsch, Masao Iwagami, et al.. (2020). The effect of initiation of renin–angiotensin system inhibitors on haemoglobin: A national cohort study. British Journal of Clinical Pharmacology. 87(2). 622–631.

19.

Bhate, Ketaki, Liang-Yu Lin, John S. Barbieri, et al.. (2020). Is there an association between long-term antibiotics for acne and subsequent infection sequelae and antimicrobial resistance? A systematic review protocol. BMJ Open. 10(7). e033662–e033662. 5 indexed citations

20.

Caille, Agnès, Sally Kerry, Elsa Tavernier, et al.. (2016). Timeline cluster: a graphical tool to identify risk of bias in cluster randomised trials. BMJ. 354. i4291–i4291. 38 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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