Stephen Sutton

22.8k total citations · 3 hit papers
322 papers, 15.3k citations indexed

About

Stephen Sutton is a scholar working on Physiology, Applied Psychology and General Health Professions. According to data from OpenAlex, Stephen Sutton has authored 322 papers receiving a total of 15.3k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Physiology, 128 papers in Applied Psychology and 105 papers in General Health Professions. Recurrent topics in Stephen Sutton's work include Behavioral Health and Interventions (116 papers), Smoking Behavior and Cessation (93 papers) and Obesity, Physical Activity, Diet (37 papers). Stephen Sutton is often cited by papers focused on Behavioral Health and Interventions (116 papers), Smoking Behavior and Cessation (93 papers) and Obesity, Physical Activity, Diet (37 papers). Stephen Sutton collaborates with scholars based in United Kingdom, United States and Qatar. Stephen Sutton's co-authors include Ann Louise Kinmonth, Simon J. Griffin, A Toby Prevost, David French, Jon Emery, Wendy Hardeman, Alexander J. Rothman, Theresa M. Marteau, Neil D. Weinstein and Hazel Gilbert and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Stephen Sutton

319 papers receiving 14.5k citations

Hit Papers

align trajectories sort by overperformance

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.

Predicting and Explaining Intentions and Behavior: How Well Are We Doing?

1998 799 citations Stephen Sutton profile →
Effectiveness of physical activity promotion based in primary care: systematic review and meta-analysis of randomised controlled trials

2012 469 citations Ann Louise Kinmonth, Stephen Sutton et al. profile →
The impact of communicating genetic risks of disease on risk-reducing health behaviour: systematic review with meta-analysis

2016 338 citations Gareth J Hollands, David French et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Stephen Sutton	4.0k	4.0k	3.4k	2.9k	2.1k	322	15.3k
Victor J. Strecher	4.2k 1.1×	5.7k 1.4×	2.7k 0.8×	2.8k 1.0×	1.1k 0.5×	137	15.6k
Matthew W. Kreuter	3.1k 0.8×	7.1k 1.8×	2.6k 0.8×	3.7k 1.3×	1.6k 0.8×	198	18.5k
Karen M. Emmons	1.6k 0.4×	4.9k 1.2×	2.9k 0.8×	3.1k 1.1×	1.7k 0.8×	263	12.6k
Theresa M. Marteau	3.7k 0.9×	4.7k 1.2×	2.5k 0.7×	6.9k 2.4×	1.5k 0.7×	502	26.3k
Hein de Vries	6.1k 1.5×	5.3k 1.3×	6.3k 1.8×	3.5k 1.2×	791 0.4×	559	17.2k
John Weinman	2.5k 0.6×	6.5k 1.6×	1.9k 0.5×	2.7k 0.9×	1.7k 0.8×	365	30.5k
William Rakowski	1.8k 0.4×	3.3k 0.8×	2.0k 0.6×	1.9k 0.6×	3.4k 1.6×	161	10.9k
Karen Glanz	2.2k 0.5×	5.4k 1.3×	2.0k 0.6×	7.6k 2.6×	1.8k 0.9×	223	18.7k
Isaac M. Lipkus	1.9k 0.5×	2.3k 0.6×	1.5k 0.4×	1.2k 0.4×	2.3k 1.1×	163	10.5k
Gaston Godin	6.3k 1.5×	4.1k 1.0×	3.9k 1.1×	4.6k 1.6×	1.6k 0.8×	260	19.2k

Countries citing papers authored by Stephen Sutton

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Sutton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Sutton

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

Naughton, Felix, Chloë Brown, Kelly Grant, et al.. (2024). A smoking cessation smartphone app that delivers real-time ‘context aware’ behavioural support: the Quit Sense feasibility RCT. SHILAP Revista de lepidopterología. 12(4). 1–99. 2 indexed citations

König, Laura M, et al.. (2022). A systematic review and meta-analysis of studies of reactivity to digital in-the-moment measurement of health behaviour. Health Psychology Review. 16(4). 551–575. 38 indexed citations

Khunti, Kamlesh, Simon J. Griffin, Alan Brennan, et al.. (2021). Behavioural interventions to promote physical activity in a multiethnic population at high risk of diabetes: PROPELS three-arm RCT. Health Technology Assessment. 25(77). 1–190. 13 indexed citations

Henson, Joseph, Stuart Biddle, Melanie J. Davies, et al.. (2021). Modelling the Reallocation of Time Spent Sitting into Physical Activity: Isotemporal Substitution vs. Compositional Isotemporal Substitution. International Journal of Environmental Research and Public Health. 18(12). 6210–6210. 9 indexed citations

French, David, Lisa M Miles, Diana Elbourne, et al.. (2021). Reducing bias in trials from reactions to measurement: the MERIT study including developmental work and expert workshop. Health Technology Assessment. 25(55). 1–72. 13 indexed citations

Kassavou, Aikaterini, James Brimicombe, Simon Edwards, et al.. (2020). A Highly Tailored Text and Voice Messaging Intervention to Improve Medication Adherence in Patients With Either or Both Hypertension and Type 2 Diabetes in a UK Primary Care Setting: Feasibility Randomized Controlled Trial of Clinical Effectiveness. Journal of Medical Internet Research. 22(5). e16629–e16629. 32 indexed citations

Naughton, Felix, Melanie Sloan, James Brimicombe, et al.. (2020). Assessment of the Effectiveness and Cost-Effectiveness of Tailored Web- and Text-Based Smoking Cessation Support in Primary Care (iQuit in Practice II): Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 9(7). e17160–e17160. 3 indexed citations

Sloan, Melanie, David D’Cruz, Felix Naughton, et al.. (2020). ‘But you don’t look sick’: a qualitative analysis of the LUPUS UK online forum. Rheumatology International. 41(4). 721–732. 21 indexed citations

Sutton, Stephen, Katie Ellis, & Sally Pears. (2019). Behavioural analysis of postnatal physical activity in the UK according to the COM-B model: a multi-methods study. SHILAP Revista de lepidopterología. 38 indexed citations

10.

Ellis, Katie, Sally Pears, & Stephen Sutton. (2019). Behavioural analysis of postnatal physical activity in the UK according to the COM-B model: a multi-methods study. BMJ Open. 9(8). e028682–e028682. 2 indexed citations

11.

Jamison, James, Stephen Sutton, Jonathan Mant, & Anna De Simoni. (2018). Online stroke forum as source of data for qualitative research: insights from a comparison with patients’ interviews. BMJ Open. 8(3). e020133–e020133. 32 indexed citations

12.

Cooper, Sue, Sophie Orton, Jo Leonardi‐Bee, et al.. (2017). Smoking and quit attempts during pregnancy and postpartum: a longitudinal UK cohort. BMJ Open. 7(11). e018746–e018746. 57 indexed citations

13.

Naughton, Felix, Neal Lathia, Chloë Brown, et al.. (2016). A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. JMIR mhealth and uhealth. 4(3). e106–e106. 91 indexed citations

14.

Orton, Sophie, Katharine Bowker, Sue Cooper, et al.. (2014). Longitudinal cohort survey of women's smoking behaviour and attitudes in pregnancy: study methods and baseline data. BMJ Open. 4(5). e004915–e004915. 23 indexed citations

15.

Long, Gráinne H., Søren Brage, Nicholas J. Wareham, et al.. (2013). Socio-demographic and behavioural correlates of physical activity perception in individuals with recently diagnosed diabetes: results from a cross-sectional study. BMC Public Health. 13(1). 678–678. 9 indexed citations

16.

French, David & Stephen Sutton. (2011). Methods: Does measuring people change them?. Psychologist. 24(4). 272–274. 5 indexed citations

17.

Marteau, Theresa M., David French, Simon J. Griffin, et al.. (2010). Effects of communicating DNA-based disease risk estimates on risk-reducing behaviours. Cochrane Database of Systematic Reviews. 2010(10). CD007275–CD007275. 202 indexed citations

18.

Guo, Boliang, Paul Aveyard, Antony Fielding, & Stephen Sutton. (2008). Testing the convergent and discriminant validity of the Decisional Balance Scale of the Transtheoretical Model using the Multi-Trait Multi-Method approach.. Psychology of Addictive Behaviors. 22(2). 288–294. 42 indexed citations

19.

Hardeman, Wendy, Stephen Sutton, Susan Michie, & Ann Louise Kinmonth. (2004). Understanding why theory-based health behaviour interventions work (or not): A causal modelling approach. UEA Digital Repository (University of East Anglia). 1 indexed citations

20.

Sutton, Stephen, Michael A. Russell, Radhika Iyer, C Feyerabend, & Yussuf Saloojee. (1982). Relationship between cigarette yields, puffing patterns, and smoke intake: evidence for tar compensation?. BMJ. 285(6342). 600–603. 63 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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