Katie Biggs

2.1k total citations · 1 hit paper
39 papers, 911 citations indexed

About

Katie Biggs is a scholar working on Economics and Econometrics, Clinical Psychology and Psychiatry and Mental health. According to data from OpenAlex, Katie Biggs has authored 39 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 8 papers in Clinical Psychology and 7 papers in Psychiatry and Mental health. Recurrent topics in Katie Biggs's work include Health Systems, Economic Evaluations, Quality of Life (12 papers), Statistical Methods in Clinical Trials (7 papers) and Child and Adolescent Psychosocial and Emotional Development (6 papers). Katie Biggs is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (12 papers), Statistical Methods in Clinical Trials (7 papers) and Child and Adolescent Psychosocial and Emotional Development (6 papers). Katie Biggs collaborates with scholars based in United Kingdom, United States and Ireland. Katie Biggs's co-authors include Fiona Campbell, Susie Aldiss, P. O'Neill, Mark Clowes, Faith Gibson, Alison While, J. E. R. McDonagh, Daniel Hind, Mike Bradburn and Allan Wailoo and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Katie Biggs

33 papers receiving 888 citations

Hit Papers

Transition of care for adolescents from paediatric servic... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katie Biggs United Kingdom 12 332 301 181 164 126 39 911
Maite Solans‐Domènech Spain 10 83 0.3× 255 0.8× 131 0.7× 57 0.3× 153 1.2× 18 791
Argerie Tsimicalis Canada 19 194 0.6× 695 2.3× 129 0.7× 56 0.3× 135 1.1× 84 1.3k
Caroline Sanders United Kingdom 16 69 0.2× 193 0.6× 130 0.7× 80 0.5× 139 1.1× 70 1.0k
Sarah Corathers United States 22 589 1.8× 561 1.9× 341 1.9× 79 0.5× 73 0.6× 72 1.8k
Sandra Cortina United States 10 298 0.9× 276 0.9× 70 0.4× 101 0.6× 126 1.0× 20 734
Arlene C. Gerson United States 22 540 1.6× 721 2.4× 72 0.4× 171 1.0× 118 0.9× 42 1.5k
Gudrun Rohde Norway 20 73 0.2× 225 0.7× 273 1.5× 74 0.5× 215 1.7× 75 1.2k
Marsha Treadwell United States 30 218 0.7× 1.0k 3.4× 39 0.2× 124 0.8× 117 0.9× 120 2.4k
Hedy A. van Oers Netherlands 19 186 0.6× 515 1.7× 68 0.4× 90 0.5× 406 3.2× 45 1.2k
Michelle M. Langer United States 13 107 0.3× 429 1.4× 74 0.4× 105 0.6× 433 3.4× 22 1.2k

Countries citing papers authored by Katie Biggs

Since Specialization
Citations

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

Fields of papers citing papers by Katie Biggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katie Biggs

This figure shows the co-authorship network connecting the top 25 collaborators of Katie Biggs. A scholar is included among the top collaborators of Katie Biggs 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 Katie Biggs. Katie Biggs 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
2.
Baig, Sheharyar, Cara Mooney, Ali Ali, et al.. (2025). TRanscutaneous lImb reCovEry Post-Stroke (TRICEPS): study protocol for a randomised, controlled, multiarm, multistage adaptive design trial. BMJ Open. 15(3). e092520–e092520.
3.
Chatters, Robin, et al.. (2024). A methodological review of randomised n-of-1 trials. Trials. 25(1). 263–263. 6 indexed citations
4.
Biggs, Katie, J. Athene Lane, Shaun Treweek, et al.. (2024). Time to STEP UP: methods and findings from the development of guidance to help researchers design inclusive clinical trials. BMC Medical Research Methodology. 24(1). 3 indexed citations
5.
Biggs, Katie, Frances Shiely, Shaun Treweek, et al.. (2024). Effective interventions to increase representation of under-served groups in randomised trials in UK and Ireland: a scoping literature review. SHILAP Revista de lepidopterología. 4. 12–12. 2 indexed citations
6.
Chatters, Robin, et al.. (2023). A Methodological Review of Randomised n-of-1 Trials.. Research Square. 1 indexed citations
7.
Totton, Nikki, Steven A. Julious, Elizabeth Coates, et al.. (2023). Appropriate design and reporting of superiority, equivalence and non-inferiority clinical trials incorporating a benefit–risk assessment: the BRAINS study including expert workshop. Health Technology Assessment. 27(20). 1–58. 2 indexed citations
8.
Glover, Rachel, Cindy Cooper, Diana Papaioannou, et al.. (2023). O08 Mesenchymal stromal cells infusions in children with recessive dystrophic epidermolysis bullosa (MissionEB): a randomized controlled trial. British Journal of Dermatology. 189(3). e42–e43. 1 indexed citations
9.
Marincowitz, Carl, Tony Stone, Peter A. Bath, et al.. (2022). Accuracy of telephone triage for predicting adverse outcomes in suspected COVID-19: an observational cohort study. BMJ Quality & Safety. 33(6). 375–385. 4 indexed citations
10.
Marincowitz, Carl, Tony Stone, Madina Hasan, et al.. (2022). Accuracy of emergency medical service telephone triage of need for an ambulance response in suspected COVID-19: an observational cohort study. BMJ Open. 12(5). e058628–e058628. 1 indexed citations
11.
Wang, Han‐I, Cindy Cooper, Ann Le Couteur, et al.. (2022). Cost-utility analysis of LEGO based therapy for school children and young people with autism spectrum disorder: results from a randomised controlled trial. BMJ Open. 12(1). e056347–e056347. 5 indexed citations
12.
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
14.
Marincowitz, Carl, Laura Sutton, Tony Stone, et al.. (2022). Prognostic accuracy of triage tools for adults with suspected COVID-19 in a prehospital setting: an observational cohort study. Emergency Medicine Journal. 39(4). 317–324. 11 indexed citations
16.
Peasgood, Tessa, Anupam Bhardwaj, John Brazier, et al.. (2020). What Is the Health and Well-Being Burden for Parents Living With a Child With ADHD in the United Kingdom?. Journal of Attention Disorders. 25(14). 1962–1976. 22 indexed citations
17.
Biggs, Katie, et al.. (2019). Design, planning and implementation lessons learnt from a surgical multi-centre randomised controlled trial. Trials. 20(1). 620–620. 2 indexed citations
18.
O’Connor, Catherine, Katie Biggs, Daniel Hind, et al.. (2018). The feasibility of early pulmonary rehabilitation and activity after COPD exacerbations: external pilot randomised controlled trial, qualitative case study and exploratory economic evaluation. Health Technology Assessment. 22(11). 1–204. 21 indexed citations
20.
Tiernan, Jim, Daniel Hind, Angus Watson, et al.. (2012). The HubBLe trial: haemorrhoidal artery ligation (HAL) versus rubber band ligation (RBL) for haemorrhoids. BMC Gastroenterology. 12(1). 153–153. 19 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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