Taeko Becque

586 total citations
19 papers, 203 citations indexed

About

Taeko Becque is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Applied Microbiology and Biotechnology. According to data from OpenAlex, Taeko Becque has authored 19 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Public Health, Environmental and Occupational Health and 5 papers in Applied Microbiology and Biotechnology. Recurrent topics in Taeko Becque's work include Antibiotic Use and Resistance (5 papers), Pneumonia and Respiratory Infections (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Taeko Becque is often cited by papers focused on Antibiotic Use and Resistance (5 papers), Pneumonia and Respiratory Infections (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Taeko Becque collaborates with scholars based in United Kingdom, Australia and United States. Taeko Becque's co-authors include Beth Stuart, Claire Planner, Charles Shepherd, Jinshuo Li, Simon Gilbody, Steve Parrott, Emily Peckham, Susan Michie, Natasha Mitchell and Sarah Knowles and has published in prestigious journals such as PLoS ONE, BMJ and Statistics in Medicine.

In The Last Decade

Taeko Becque

16 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taeko Becque United Kingdom 7 60 50 47 42 36 19 203
Emily Sanderson United Kingdom 11 47 0.8× 65 1.3× 23 0.5× 20 0.5× 67 1.9× 27 242
Richelle C. Kosse Netherlands 7 110 1.8× 128 2.6× 31 0.7× 7 0.2× 18 0.5× 10 273
Christina J. Pearce United Kingdom 10 89 1.5× 96 1.9× 49 1.0× 10 0.2× 21 0.6× 19 317
Richard Knight United States 7 22 0.4× 43 0.9× 10 0.2× 19 0.5× 43 1.2× 27 231
Anneke M. Landstra Netherlands 11 313 5.2× 62 1.2× 3 0.1× 26 0.6× 18 0.5× 23 414
Noura Abouammoh Saudi Arabia 9 8 0.1× 47 0.9× 4 0.1× 22 0.5× 27 0.8× 22 192
Allison I Daniel Canada 8 34 0.6× 21 0.4× 6 0.1× 46 1.1× 61 1.7× 31 271
Melissa Murano Australia 4 10 0.2× 35 0.7× 7 0.1× 25 0.6× 33 0.9× 4 167
Biljana Cvetkovski Australia 11 275 4.6× 59 1.2× 12 0.3× 9 0.2× 9 0.3× 29 339
Oleksii Korzh Ukraine 7 34 0.6× 31 0.6× 2 0.0× 18 0.4× 25 0.7× 42 148

Countries citing papers authored by Taeko Becque

Since Specialization
Citations

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

Fields of papers citing papers by Taeko Becque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taeko Becque

This figure shows the co-authorship network connecting the top 25 collaborators of Taeko Becque. A scholar is included among the top collaborators of Taeko Becque 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 Taeko Becque. Taeko Becque is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Geraghty, Adam W A, Taeko Becque, Lisa Roberts, et al.. (2025). Supporting self-management with an internet intervention for low back pain in primary care: a RCT (SupportBack 2). Health Technology Assessment. 29(7). 1–90.
2.
Wilcox, Christopher R, Tristan Clark, Ingrid Müller, et al.. (2024). Use of the FebriDx® host-response point-of-care test may reduce antibiotic use for respiratory tract infections in primary care: a mixed-methods feasibility study. Journal of Antimicrobial Chemotherapy. 79(6). 1441–1449. 3 indexed citations
3.
Lown, Mark, Kirsten A. Smith, Ingrid Müller, et al.. (2023). Internet Tool to Support Self-Assessment and Self-Swabbing of Sore Throat: Development and Feasibility Study. Journal of Medical Internet Research. 25. e39791–e39791. 4 indexed citations
4.
Little, Paul, Taeko Becque, Alastair D Hay, et al.. (2023). Predicting illness progression for children with lower respiratory infections in primary care: a prospective cohort and observational study. British Journal of General Practice. 73(737). e885–e893.
5.
Francis, Nick, Taeko Becque, Merlin Willcox, et al.. (2023). Non-pharmaceutical interventions and risk of COVID-19 infection: survey of U.K. public from November 2020 – May 2021. BMC Public Health. 23(1). 389–389. 6 indexed citations
6.
Hounkpatin, Hilda, Beth Stuart, Shihua Zhu, et al.. (2022). Post-consultation acute respiratory tract infection recovery: a latent class-informed analysis of individual patient data. British Journal of General Practice. 73(728). e196–e203.
7.
Little, Paul, Robert C. Read, Taeko Becque, et al.. (2022). Antibiotics for lower respiratory tract infection in children presenting in primary care (ARTIC-PC): the predictive value of molecular testing. Clinical Microbiology and Infection. 28(9). 1238–1244. 2 indexed citations
8.
Hu, Yanhong, Xudong Zhou, Shanjuan Wang, et al.. (2021). Diarrhoea Management using Over-the-counter Nutraceuticals in Daily practice (DIAMOND): a feasibility RCT on alternative therapy to reduce antibiotic use. Pilot and Feasibility Studies. 7(1). 126–126. 2 indexed citations
9.
Stuart, Beth, Taeko Becque, Michael Moore, & Paul Little. (2020). Clustering of continuous and binary outcomes at the general practice level in individually randomised studies in primary care - a review of 10 years of primary care trials. BMC Medical Research Methodology. 20(1). 83–83. 3 indexed citations
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12.
El-Gohary, Magdy, Michael Moore, Paul Roderick, et al.. (2018). Local care and treatment of liver disease (LOCATE) – A cluster-randomized feasibility study to discover, assess and manage early liver disease in primary care. PLoS ONE. 13(12). e0208798–e0208798. 28 indexed citations
13.
Santer, Miriam, Kate Rumsby, Matthew J Ridd, et al.. (2018). Adding emollient bath additives to standard eczema management for children with eczema: the BATHE RCT. Health Technology Assessment. 22(57). 1–116. 11 indexed citations
14.
Gilbody, Simon, Emily Peckham, Mei‐See Man, et al.. (2015). Bespoke smoking cessation for people with severe mental ill health (SCIMITAR): a pilot randomised controlled trial. The Lancet Psychiatry. 2(5). 395–402. 61 indexed citations
15.
Peckham, Emily, Mei‐See Man, Natasha Mitchell, et al.. (2015). Smoking Cessation Intervention for severe Mental Ill Health Trial (SCIMITAR): a pilot randomised control trial of the clinical effectiveness and cost-effectiveness of a bespoke smoking cessation service. Health Technology Assessment. 19(25). 1–148. 25 indexed citations
16.
Becque, Taeko, Ian R. White, & Mark Haggard. (2015). A causal model for longitudinal randomised trials with time‐dependent non‐compliance. Statistics in Medicine. 34(12). 2019–2034. 2 indexed citations
17.
Tilbrook, Helen, et al.. (2014). Randomized trial within a trial of yellow ‘post‐it notes’ did not improve questionnaire response rates among participants in a trial of treatments for neck pain. Journal of Evaluation in Clinical Practice. 21(2). 202–204. 6 indexed citations
18.
Becque, Taeko & Ian R. White. (2008). Regaining power lost by non‐compliance via full probability modelling. Statistics in Medicine. 27(27). 5640–5663. 4 indexed citations
19.
Chu, Gavin S., et al.. (2007). The admission of older patients to a dedicated short stay medical unit: learning from experience. Acute Medicine Journal. 6(3). 121–123. 2 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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