Shaun Scholes

4.3k total citations · 1 hit paper
101 papers, 2.9k citations indexed

About

Shaun Scholes is a scholar working on Public Health, Environmental and Occupational Health, Health and General Health Professions. According to data from OpenAlex, Shaun Scholes has authored 101 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Public Health, Environmental and Occupational Health, 36 papers in Health and 30 papers in General Health Professions. Recurrent topics in Shaun Scholes's work include Health disparities and outcomes (36 papers), Obesity, Physical Activity, Diet (26 papers) and Global Health Care Issues (13 papers). Shaun Scholes is often cited by papers focused on Health disparities and outcomes (36 papers), Obesity, Physical Activity, Diet (26 papers) and Global Health Care Issues (13 papers). Shaun Scholes collaborates with scholars based in United Kingdom, United States and Brazil. Shaun Scholes's co-authors include Jennifer S. Mindell, Linda Ng Fat, Sadie Boniface, Sarah Stewart‐Brown, Rosalind Raine, Martín O’Flaherty, David Bann, Madhavi Bajekal, Nicola Shelton and Simon Capewell and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shaun Scholes

98 papers receiving 2.9k 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.

Evaluating and establishing national norms for mental wellbeing using the short Warwick–Edinburgh Mental Well-being Scale (SWEMWBS): findings from the Health Survey for England

2016 358 citations Linda Ng Fat, Shaun Scholes et al. Quality of Life Research profile →

Peers

Countries citing papers authored by Shaun Scholes

Since Specialization

Citations

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

Fields of papers citing papers by Shaun Scholes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaun Scholes

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

#	Title	Journal	Authors	Indexed citations
1	Cognitive Performance and Long-term Exposure to Outdoor Air Pollution: Findings From the Harmonized Cognitive Assessment Protocol Substudy of the English Longitudinal Study of Ageing (ELSA-HCAP)	The Journals of Gerontology Series A	Giorgio Di Gessa, Mikaela Bloomberg et al.	1
2	Sex differences in the secular change in waist circumference relative to BMI in five countries from 1997 to 2020	Obesity	Luz María Sánchez‐Romero, Jennifer S. Mindell et al.	2
3	Does the use of prediction equations to correct self-reported height and weight improve obesity prevalence estimates? A pooled cross-sectional analysis of Health Survey for England data	BMJ Open	Shaun Scholes, Linda Ng Fat et al.	10
4	Income-based inequalities in self-reported moderate-to-vigorous physical activity among adolescents in England and the USA: a cross-sectional study	BMJ Open	Shaun Scholes, Jennifer S. Mindell	9
5	Changes in the body mass index and blood pressure association across time: Evidence from multiple cross-sectional and cohort studies	Preventive Medicine	David Bann, Shaun Scholes et al.	10
6	Socioeconomic inequalities in blood pressure: co-ordinated analysis of 147,775 participants from repeated birth cohort and cross-sectional datasets, 1989 to 2016	BMC Medicine	David Bann, Meg Fluharty et al.	15
7	Exploring the Relationship Between Internet Use and Mental Health Among Older Adults in England: Longitudinal Observational Study	Journal of Medical Internet Research	Stephen Jivraj, Shaun Scholes et al.	83
8	Chronic kidney disease in adults aged 18 years and older in Chile: findings from the cross-sectional Chilean National Health Surveys 2009–2010 and 2016–2017	BMJ Open	Shaun Scholes, Elena Pizzo et al.	7
9	The silent epidemic of obesity in The Gambia: evidence from a nationwide, population-based, cross-sectional health examination survey	BMJ Open	Shaun Scholes, Linda Ng Fat et al.	11
10	Does Abdominal Obesity Accelerate Muscle Strength Decline in Older Adults? Evidence From the English Longitudinal Study of Ageing	UCL Discovery (University College London)	Shaun Scholes, César de Oliveira et al.	1
11	Adolescents’ physical activity: cross-national comparisons of levels, distributions and disparities across 52 countries	International Journal of Behavioral Nutrition and Physical Activity	David Bann, Shaun Scholes et al.	60
12	The association between frailty and quality of life among rural community-dwelling older adults in Kegalle district of Sri Lanka: a cross-sectional study	Quality of Life Research	Dhammika Deepani Siriwardhana, Manuj C. Weerasinghe et al.	18
13	Developing a questionnaire to assess community severance, walkability, and wellbeing: results from the Street Mobility Project in London	UCL Discovery (University College London)	Shaun Scholes, Sadie Boniface et al.	6
14	Evaluating and establishing national norms for mental wellbeing using the short Warwick–Edinburgh Mental Well-being Scale (SWEMWBS): findings from the Health Survey for England breakdown →	Quality of Life Research	Linda Ng Fat, Shaun Scholes et al.	358
15	Defining and measuring the impact of community severance on local accessibility	UCL Discovery (University College London)	Phil Jones, Ashley Dhanani et al.	1
16	The contribution of primary prevention medication and dietary change in coronary mortality reduction in England between 2000 and 2007: a modelling study	BMJ Open	Maria Guzman-Castillo, Rushdiá Ahmed et al.	16
17	Estimating population prevalence of potential airflow obstruction using different spirometric criteria: a pooled cross-sectional analysis of persons aged 40–95 years in England and Wales	BMJ Open	Shaun Scholes, Alison Moody et al.	23
18	Explaining trends in Scottish coronary heart disease mortality between 2000 and 2010 using IMPACTSEC model: retrospective analysis using routine data	BMJ	J. W. Hotchkiss, Carolyn Davies et al.	47
19	Persistent socioeconomic inequalities in cardiovascular risk factors in England over 1994-2008: A time-trend analysis of repeated cross-sectional data	BMC Public Health	Shaun Scholes, Madhavi Bajekal et al.	77
20	Reducing socioeconomic inequality in coronary disease treatments: The NHS finally triumphs?	Journal of Epidemiology & Community Health	Nathaniel M. Hawkins, Shaun Scholes et al.	4

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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