Steve Parrott

6.3k total citations · 1 hit paper
142 papers, 3.6k citations indexed

About

Steve Parrott is a scholar working on General Health Professions, Physiology and Epidemiology. According to data from OpenAlex, Steve Parrott has authored 142 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in General Health Professions, 58 papers in Physiology and 43 papers in Epidemiology. Recurrent topics in Steve Parrott's work include Smoking Behavior and Cessation (54 papers), Substance Abuse Treatment and Outcomes (29 papers) and Health Systems, Economic Evaluations, Quality of Life (21 papers). Steve Parrott is often cited by papers focused on Smoking Behavior and Cessation (54 papers), Substance Abuse Treatment and Outcomes (29 papers) and Health Systems, Economic Evaluations, Quality of Life (21 papers). Steve Parrott collaborates with scholars based in United Kingdom, United States and Bangladesh. Steve Parrott's co-authors include Christine Godfrey, Jinshuo Li, Qi Wu, Peter Hájek, Lynne Dawkins, Hayden McRobbie, Katie Myers Smith, Anna Phillips‐Waller, Maciej Ł. Goniewicz and Francesca Pesola and has published in prestigious journals such as New England Journal of Medicine, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Steve Parrott

134 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Randomized Trial of E-Cigarettes versus Nicotine-Replacement Therapy

2019 898 citations Peter Hájek, Anna Phillips‐Waller et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steve Parrott United Kingdom	28	1.7k	1.1k	880	850	548	142	3.6k
Scott E. Sherman United States	38	2.1k 1.2×	1.4k 1.3×	686 0.8×	1.3k 1.5×	524 1.0×	269	5.2k
Ann Malarcher United States	40	2.9k 1.7×	957 0.8×	702 0.8×	1.4k 1.7×	748 1.4×	103	5.5k
Janice Y. Tsoh United States	33	3.0k 1.7×	1.3k 1.1×	701 0.8×	1.2k 1.4×	1.1k 2.0×	146	5.4k
Deborah Hennrikus United States	37	1.4k 0.8×	1.0k 0.9×	337 0.4×	882 1.0×	513 0.9×	74	3.3k
Andrew Pipe Canada	37	1.7k 1.0×	768 0.7×	571 0.6×	956 1.1×	523 1.0×	191	5.1k
Tim McAfee United States	32	3.3k 1.9×	782 0.7×	358 0.4×	1.3k 1.6×	934 1.7×	65	4.7k
Kate Cahill United Kingdom	22	3.1k 1.9×	766 0.7×	375 0.4×	1.1k 1.3×	1.1k 1.9×	29	4.6k
Nicola Lindson United Kingdom	31	2.7k 1.6×	663 0.6×	305 0.3×	961 1.1×	916 1.7×	85	3.9k
Susan Kinne United States	18	1.2k 0.7×	524 0.5×	262 0.3×	651 0.8×	331 0.6×	22	2.7k
Mario Sims United States	40	635 0.4×	1.3k 1.2×	488 0.6×	1.1k 1.2×	181 0.3×	217	6.1k

Countries citing papers authored by Steve Parrott

Since Specialization

Citations

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

Fields of papers citing papers by Steve Parrott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Parrott

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

Li, Jinshuo, Qi Wu, Steve Parrott, et al.. (2024). Cost–utility analysis of provision of e‐cigarette starter kits for smoking cessation in emergency departments: An economic evaluation of a randomized controlled trial. Addiction. 120(2). 368–379. 1 indexed citations

Wang, Han‐I, Kerry Bell, Laura Mandefield, et al.. (2024). Cost–utility analysis of Social Stories™ for children with autism spectrum disorder in mainstream primary schools: results from a randomised controlled trial. BJPsych Open. 10(4). e123–e123.

Cox, Sharon, Linda Bauld, Rachel Brown, et al.. (2022). Evaluating the effectiveness of e‐cigarettes compared with usual care for smoking cessation when offered to smokers at homeless centres: protocol for a multi‐centre cluster‐randomized controlled trial in Great Britain. Addiction. 117(7). 2096–2107. 9 indexed citations

Kamath, Asha, Jinshuo Li, Muralidhar M Kulkarni, et al.. (2022). The association between the retail price of manufactured cigarettes and bidis on current smoking status in India. Tobacco Induced Diseases. 20(May). 1–11. 1 indexed citations

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

Cox, Sharon, Allison Ford, Jinshuo Li, et al.. (2021). Exploring the uptake and use of electronic cigarettes provided to smokers accessing homeless centres: a four-centre cluster feasibility trial. SHILAP Revista de lepidopterología. 9(7). 1–82. 3 indexed citations

Coleman, Tim, Elizabeth Clark, Rachel Whitemore, et al.. (2021). Effectiveness of offering tailored text message, self‐help smoking cessation support to pregnant women who want information on stopping smoking: MiQuit3 randomised controlled trial and meta‐analysis. Addiction. 117(4). 1079–1094. 13 indexed citations

Dawkins, Lynne, Linda Bauld, Allison Ford, et al.. (2020). A cluster feasibility trial to explore the uptake and use of e-cigarettes versus usual care offered to smokers attending homeless centres in Great Britain. PLoS ONE. 15(10). e0240968–e0240968. 25 indexed citations

Li, Jinshuo, Caroline Fairhurst, Emily Peckham, et al.. (2020). Cost‐effectiveness of a specialist smoking cessation package compared with standard smoking cessation services for people with severe mental illness in England: a trial‐based economic evaluation from the SCIMITAR+ study. Addiction. 115(11). 2113–2122. 9 indexed citations

10.

Li, Jinshuo, Peter Hájek, Francesca Pesola, et al.. (2019). Cost‐effectiveness of e‐cigarettes compared with nicotine replacement therapy in stop smoking services in England (TEC study): a randomized controlled trial. Addiction. 115(3). 507–517. 27 indexed citations

11.

Hájek, Peter, Anna Phillips‐Waller, Dunja Przulj, et al.. (2019). E-cigarettes compared with nicotine replacement therapy within the UK Stop Smoking Services: the TEC RCT. Health Technology Assessment. 23(43). 1–82. 49 indexed citations

12.

Murray, Elizabeth, Jamie Ross, Kingshuk Pal, et al.. (2018). A web-based self-management programme for people with type 2 diabetes: the HeLP-Diabetes research programme including RCT. SHILAP Revista de lepidopterología. 6(5). 1–242. 25 indexed citations

13.

Li, Jinshuo, Steve Parrott, Michael Sweeting, et al.. (2018). Cost-Effectiveness of Facilitated Access to a Self-Management Website, Compared to Usual Care, for Patients With Type 2 Diabetes (HeLP-Diabetes): Randomized Controlled Trial. Journal of Medical Internet Research. 20(6). e201–e201. 43 indexed citations

14.

Dogar, Omara, Deepa Barua, Melanie Boeckmann, et al.. (2018). The safety, effectiveness and cost‐effectiveness of cytisine in achieving six‐month continuous smoking abstinence in tuberculosis patients—protocol for a double‐blind, placebo‐controlled randomized trial. Addiction. 113(9). 1716–1726. 17 indexed citations

15.

Murray, Elizabeth, Michael Sweeting, Charlotte Dack, et al.. (2017). Web-based self-management support for people with type 2 diabetes (HeLP-Diabetes): randomised controlled trial in English primary care. BMJ Open. 7(9). e016009–e016009. 71 indexed citations

16.

Siddiqi, Kamran, Rumana Huque, Cath Jackson, et al.. (2015). Children Learning About Secondhand Smoke (CLASS II): protocol of a pilot cluster randomised controlled trial. BMJ Open. 5(8). e008749–e008749. 6 indexed citations

17.

Overend, Karen, Helen Lewis, Della Bailey, et al.. (2014). CASPER plus (CollAborative care in Screen-Positive EldeRs with major depressive disorder): study protocol for a randomised controlled trial. Trials. 15(1). 217–217. 14 indexed citations

18.

Watson, Judith, Gillian Tober, Qing Wu, et al.. (2013). AESOPS: a randomised controlled trial of the clinical effectiveness and cost-effectiveness of opportunistic screening and stepped care interventions for older hazardous alcohol users in primary care. Health Technology Assessment. 17(25). 1–158. 33 indexed citations

19.

Deluca, Paolo, Colin Drummond, Simon Coulton, et al.. (2010). CHALLENGES AND SOLUTIONS IN IMPLEMENTING SCREENING AND BRIEF INTERVENTIONS FOR HAZARDOUS ALCOHOL USE IN ACCIDENT AND EMERGENCY DEPARTMENTS. Surrey Research Insight Open Access (The University of Surrey). 1 indexed citations

20.

Parrott, Steve, Christine Godfrey, Martin Raw, Robert West, & Ann McNeill. (1998). Guidance for commissioners on the cost effectiveness of smoking cessation interventions. PubMed. 53 Suppl 5 Pt 2. S1–38. 128 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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