Matteo Quartagno

2.1k total citations
39 papers, 715 citations indexed

About

Matteo Quartagno is a scholar working on Statistics and Probability, Economics and Econometrics and Oncology. According to data from OpenAlex, Matteo Quartagno has authored 39 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 10 papers in Economics and Econometrics and 9 papers in Oncology. Recurrent topics in Matteo Quartagno's work include Statistical Methods and Bayesian Inference (13 papers), Statistical Methods in Clinical Trials (11 papers) and Advanced Causal Inference Techniques (8 papers). Matteo Quartagno is often cited by papers focused on Statistical Methods and Bayesian Inference (13 papers), Statistical Methods in Clinical Trials (11 papers) and Advanced Causal Inference Techniques (8 papers). Matteo Quartagno collaborates with scholars based in United Kingdom, Kenya and Netherlands. Matteo Quartagno's co-authors include James R. Carpenter, Simon Grund, Ian R. White, Stef van Buuren, Vincent Audigier, Thomas P. A. Debray, Shahab Jolani, Matthieu Resche‐Rigon, Harvey Goldstein and Mardieh Dennis and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Lancet Oncology.

In The Last Decade

Matteo Quartagno

34 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Quartagno United Kingdom 14 193 123 90 86 80 39 715
Tra My Pham United Kingdom 10 107 0.6× 101 0.8× 52 0.6× 153 1.8× 48 0.6× 23 952
Claire Keeble United Kingdom 12 88 0.5× 181 1.5× 88 1.0× 69 0.8× 40 0.5× 29 945
Shahab Jolani Netherlands 10 152 0.8× 102 0.8× 18 0.2× 82 1.0× 43 0.5× 30 793
Giorgos Bakoyannis United States 16 112 0.6× 41 0.3× 77 0.9× 92 1.1× 22 0.3× 62 770
Perrine Janiaud United States 15 85 0.4× 76 0.6× 41 0.5× 48 0.6× 27 0.3× 46 960
Ashley Buchanan United States 15 181 0.9× 84 0.7× 100 1.1× 229 2.7× 37 0.5× 53 1.0k
Lucia C. Petito United States 22 129 0.7× 139 1.1× 144 1.6× 72 0.8× 41 0.5× 76 1.4k
Hannah Ewald Switzerland 18 72 0.4× 39 0.3× 54 0.6× 184 2.1× 31 0.4× 50 952
Baoluo Sun United States 9 185 1.0× 25 0.2× 39 0.4× 51 0.6× 46 0.6× 19 561
Candice Yong United States 11 34 0.2× 181 1.5× 71 0.8× 85 1.0× 34 0.4× 38 860

Countries citing papers authored by Matteo Quartagno

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Quartagno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Quartagno

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Quartagno. A scholar is included among the top collaborators of Matteo Quartagno 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 Matteo Quartagno. Matteo Quartagno 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.
Pham, Tra My, Angela M. Crook, Katie Rolfe, et al.. (2025). Designing a response-over-continuous-intervention (ROCI) randomised trial: Implementation in the Phase 2C part (duration ranging) of the PARADIGM4TB trial. Contemporary Clinical Trials. 155. 108002–108002.
2.
Bouche, Gauthier, Duncan C. Gilbert, Matteo Quartagno, et al.. (2025). Determining the optimal use of approved drugs in oncology. The Lancet Oncology. 26(5). e282–e294. 1 indexed citations
3.
Moreno‐Betancur, Margarita, et al.. (2025). Multiple Imputation for Longitudinal Data: A Tutorial. Statistics in Medicine. 44(3-4). e10274–e10274. 5 indexed citations
4.
Zhang, Guoqiang, Per Tynelius, Maya B. Mathur, et al.. (2024). Population Trends and Individual Fluidity of Sexual Identity Among Stockholm County Residents. JAMA Network Open. 7(12). e2447627–e2447627. 1 indexed citations
5.
Smith, Matthew J., Matteo Quartagno, Aurélien Belot, Bernard Rachet, & Edmund Njeru Njagi. (2024). Comparison of common multiple imputation approaches: An application of logistic regression with an interaction. LSHTM Research Online (London School of Hygiene and Tropical Medicine). 6(1). 34–47.
6.
Turner, Rebecca, Michelle Clements, Matteo Quartagno, et al.. (2023). Practical approaches to Bayesian sample size determination in non‐inferiority trials with binary outcomes. Statistics in Medicine. 42(8). 1127–1138. 1 indexed citations
7.
White, Ian R., Tra My Pham, Matteo Quartagno, & Tim P. Morris. (2023). How to check a simulation study. International Journal of Epidemiology. 53(1). 9 indexed citations
8.
Carlin, Ffion, Bianca Sossen, Alexandra S Richards, et al.. (2023). Treatment for radiographically active, sputum culture-negative pulmonary tuberculosis: A systematic review and meta-analysis. PLoS ONE. 18(11). e0293535–e0293535. 6 indexed citations
9.
Quartagno, Matteo, Man K. Chan, Anna Turkova, Deborah Ford, & Ian R. White. (2023). The Smooth Away From Expected (SAFE) non-inferiority frontier: theory and implementation with an application to the D3 trial. Trials. 24(1). 556–556.
10.
Ghorani, Ehsan, Matteo Quartagno, Fiona Blackhall, et al.. (2023). REFINE-Lung implements a novel multi-arm randomised trial design to address possible immunotherapy overtreatment. The Lancet Oncology. 24(5). e219–e227. 13 indexed citations
11.
12.
Nankivell, Matthew, Matteo Quartagno, Caroline S. Clarke, et al.. (2022). REFINE (REduced Frequency ImmuNE checkpoint inhibition in cancers): A multi-arm phase II basket trial testing reduced intensity immunotherapy across different cancers. Contemporary Clinical Trials. 124. 107030–107030. 12 indexed citations
13.
Smith, Matthew J., Miguel Ángel Luque-Fernández, Aurélien Belot, et al.. (2021). Investigating the inequalities in route to diagnosis amongst patients with diffuse large B-cell or follicular lymphoma in England. British Journal of Cancer. 125(9). 1299–1307. 2 indexed citations
14.
Walker, Jane, Amy Mulick, Nicholas Magill, et al.. (2021). Major Depression and Survival in People With Cancer. Psychosomatic Medicine. 83(5). 410–416. 54 indexed citations
15.
Gachau, Susan, et al.. (2020). Handling missing data in modelling quality of clinician-prescribed routine care: Sensitivity analysis of departure from missing at random assumption. Statistical Methods in Medical Research. 29(10). 3076–3092. 13 indexed citations
16.
Walker, Jane, Nicholas Magill, Amy Mulick, et al.. (2020). Different independent associations of depression and anxiety with survival in patients with cancer. Journal of Psychosomatic Research. 138. 110218–110218. 37 indexed citations
17.
Gupta, Rishi K, Michael Marks, Akish Luintel, et al.. (2020). Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: an observational cohort study. European Respiratory Journal. 56(6). 2003498–2003498. 96 indexed citations
18.
Quartagno, Matteo & James R. Carpenter. (2019). Multiple imputation for discrete data: Evaluation of the joint latent normal model. Biometrical Journal. 61(4). 1003–1019. 30 indexed citations
19.
Berger, Nicolas, Daniel Lewis, Matteo Quartagno, Edmund Njeru Njagi, & Steven Cummins. (2019). Associations between school and neighbourhood ethnic density and physical activity in adolescents: Evidence from the Olympic Regeneration in East London (ORiEL) study. Social Science & Medicine. 237. 112426–112426. 3 indexed citations
20.
Berger, Nicolas, Daniel Lewis, Matteo Quartagno, Edmund Njeru Njagi, & Steven Cummins. (2019). Longitudinal associations between perceptions of the neighbourhood environment and physical activity in adolescents: evidence from the Olympic Regeneration in East London (ORiEL) study. BMC Public Health. 19(1). 1760–1760. 10 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tra My Pham Breakdown of academic impact, for papers by Claire Keeble Breakdown of academic impact, for papers by Shahab Jolani Breakdown of academic impact, for papers by Giorgos Bakoyannis Breakdown of academic impact, for papers by Perrine Janiaud Breakdown of academic impact, for papers by Ashley Buchanan Breakdown of academic impact, for papers by Lucia C. Petito Breakdown of academic impact, for papers by Hannah Ewald Breakdown of academic impact, for papers by Baoluo Sun Breakdown of academic impact, for papers by Candice Yong
Rankless by CCL
2026