Laura Flight

2.2k total citations · 2 hit papers
28 papers, 1.2k citations indexed

About

Laura Flight is a scholar working on Statistics and Probability, Economics and Econometrics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Laura Flight has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 17 papers in Economics and Econometrics and 13 papers in Statistics, Probability and Uncertainty. Recurrent topics in Laura Flight's work include Statistical Methods in Clinical Trials (18 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers) and Meta-analysis and systematic reviews (12 papers). Laura Flight is often cited by papers focused on Statistical Methods in Clinical Trials (18 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers) and Meta-analysis and systematic reviews (12 papers). Laura Flight collaborates with scholars based in United Kingdom, Ireland and Germany. Laura Flight's co-authors include Steven A. Julious, Munyaradzi Dimairo, Stephen J. Walters, Thomas Jaki, Philip Pallmann, Babak Choodari‐Oskooei, Richard Jacques, Daniel Hind, Oscar Bortolami and Joanne Rothwell and has published in prestigious journals such as PLoS ONE, Statistics in Medicine and BMC Medicine.

In The Last Decade

Laura Flight

25 papers receiving 1.1k citations

Hit Papers

Adaptive designs in clinical trials: why use them, and ho... 2017 2026 2020 2023 2018 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Flight United Kingdom 12 323 279 216 205 162 28 1.2k
Munyaradzi Dimairo United Kingdom 22 415 1.3× 323 1.2× 188 0.9× 218 1.1× 227 1.4× 49 1.9k
Deborah R. Zucker United States 16 168 0.5× 196 0.7× 146 0.7× 129 0.6× 116 0.7× 29 1.1k
Vance W. Berger United States 19 734 2.3× 357 1.3× 121 0.6× 328 1.6× 76 0.5× 76 1.4k
Perrine Janiaud United States 15 85 0.3× 153 0.5× 131 0.6× 170 0.8× 87 0.5× 46 960
Bennett Levitan United States 20 96 0.3× 530 1.9× 94 0.4× 44 0.2× 265 1.6× 80 1.3k
Bucknam McPeek United States 10 191 0.6× 223 0.8× 233 1.1× 323 1.6× 150 0.9× 27 1.5k
John D. Emerson United States 14 251 0.8× 106 0.4× 128 0.6× 281 1.4× 130 0.8× 48 1.0k
Eugenia Cronin United Kingdom 4 96 0.3× 242 0.9× 275 1.3× 494 2.4× 144 0.9× 6 1.1k
Kirsty Rhodes United Kingdom 16 148 0.5× 188 0.7× 109 0.5× 170 0.8× 201 1.2× 48 1.2k
Matteo Quartagno United Kingdom 14 193 0.6× 73 0.3× 60 0.3× 57 0.3× 59 0.4× 39 715

Countries citing papers authored by Laura Flight

Since Specialization
Citations

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

Fields of papers citing papers by Laura Flight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Flight

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Flight. A scholar is included among the top collaborators of Laura Flight 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 Laura Flight. Laura Flight 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.
Flight, Laura, Alan Brennan, Stephen E. Chick, et al.. (2025). Value-adaptive clinical trial designs for efficient delivery of publicly funded trials - a discussion of methods, case studies, opportunities and challenges. BMC Medical Research Methodology. 25(1). 153–153.
4.
Conway, Aislinn, et al.. (2023). Online randomised trials with children: A scoping review. PLoS ONE. 18(5). e0280965–e0280965. 3 indexed citations
5.
Robertson, David S., Babak Choodari‐Oskooei, Munyaradzi Dimairo, et al.. (2023). Point estimation for adaptive trial designs II: Practical considerations and guidance. Statistics in Medicine. 42(14). 2496–2520. 9 indexed citations
6.
Robertson, David S., Babak Choodari‐Oskooei, Munyaradzi Dimairo, et al.. (2022). Point estimation for adaptive trial designs I: A methodological review. Statistics in Medicine. 42(2). 122–145. 28 indexed citations
7.
Wason, James, Munyaradzi Dimairo, Katie Biggs, et al.. (2022). Practical guidance for planning resources required to support publicly-funded adaptive clinical trials. BMC Medicine. 20(1). 254–254. 6 indexed citations
8.
Pennington, Becky, Abualbishr Alshreef, Laura Flight, et al.. (2021). Cost Effectiveness of Ranibizumab vs Aflibercept vs Bevacizumab for the Treatment of Macular Oedema Due to Central Retinal Vein Occlusion: The LEAVO Study. PharmacoEconomics. 39(8). 913–927. 6 indexed citations
9.
Hykin, Philip, A Toby Prevost, Sobha Sivaprasad, et al.. (2021). Intravitreal ranibizumab versus aflibercept versus bevacizumab for macular oedema due to central retinal vein occlusion: the LEAVO non-inferiority three-arm RCT. Health Technology Assessment. 25(38). 1–196. 12 indexed citations
11.
Alava, Mónica Hernández, Philip Hykin, Sobha Sivaprasad, et al.. (2020). Mapping From Visual Acuity to EQ-5D, EQ-5D With Vision Bolt-On, and VFQ-UI in Patients With Macular Edema in the LEAVO Trial. Value in Health. 23(7). 928–935. 10 indexed citations
12.
Flight, Laura, Abualbishr Alshreef, P. Hykin, et al.. (2019). PIN156 INTRAVITREAL THERAPY WITH RANIBIZUMAB VS AFLIBERCEPT VS BEVACIZUMAB FOR MACULAR OEDEMA DUE TO CENTRAL RETINAL VEIN OCCLUSION: A WITHIN TRIAL COST-UTILITY ANALYSIS. Value in Health. 22. S664–S664. 1 indexed citations
13.
Flight, Laura, et al.. (2019). A Review of Clinical Trials With an Adaptive Design and Health Economic Analysis. Value in Health. 22(4). 391–398. 18 indexed citations
14.
Candlish, Jane, M. Dawn Teare, Munyaradzi Dimairo, et al.. (2018). Appropriate statistical methods for analysing partially nested randomised controlled trials with continuous outcomes: a simulation study. BMC Medical Research Methodology. 18(1). 105–105. 37 indexed citations
15.
Pallmann, Philip, Alun Bedding, Babak Choodari‐Oskooei, et al.. (2018). Adaptive designs in clinical trials: why use them, and how to run and report them. BMC Medicine. 16(1). 29–29. 415 indexed citations breakdown →
16.
Walters, Stephen J., Inês B. Henriques, Oscar Bortolami, et al.. (2017). Recruitment and retention of participants in randomised controlled trials: a review of trials funded and published by the United Kingdom Health Technology Assessment Programme. BMJ Open. 7(3). e015276–e015276. 325 indexed citations breakdown →
17.
Flight, Laura, Annabel Allison, Munyaradzi Dimairo, et al.. (2016). Recommendations for the analysis of individually randomised controlled trials with clustering in one arm – a case of continuous outcomes. BMC Medical Research Methodology. 16(1). 165–165. 30 indexed citations
18.
Allison, Annabel, et al.. (2016). Adaptive designs undertaken in clinical research: a review of registered clinical trials. Trials. 17(1). 150–150. 58 indexed citations
19.
Flight, Laura, Steven A. Julious, & Steve Goodacre. (2016). Can emergency medicine research benefit from adaptive design clinical trials?. Emergency Medicine Journal. 34(4). 243–248. 4 indexed citations
20.
Flight, Laura & Steven A. Julious. (2014). The disagreeable behaviour of the kappa statistic. Pharmaceutical Statistics. 14(1). 74–78. 48 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

Rankless by CCL
2026