Kevin Ralston

794 total citations
23 papers, 291 citations indexed

About

Kevin Ralston is a scholar working on Health, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Kevin Ralston has authored 23 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health, 7 papers in Sociology and Political Science and 6 papers in General Health Professions. Recurrent topics in Kevin Ralston's work include Health disparities and outcomes (9 papers), Youth Education and Societal Dynamics (6 papers) and Employment and Welfare Studies (5 papers). Kevin Ralston is often cited by papers focused on Health disparities and outcomes (9 papers), Youth Education and Societal Dynamics (6 papers) and Employment and Welfare Studies (5 papers). Kevin Ralston collaborates with scholars based in United Kingdom, Italy and United States. Kevin Ralston's co-authors include Chris Dibben, Zhiqiang Feng, Dawn Everington, Jonathan Vincent, Alastair H. Leyland, Ruth Dundas, Martin McKee, David Stückler, Chris Cullen and Kenneth MacKenzie and has published in prestigious journals such as Journal of Epidemiology & Community Health, Psychiatry Research and Autism.

In The Last Decade

Kevin Ralston

23 papers receiving 269 citations

Peers

Kevin Ralston
Kris Southby United Kingdom
Matthew Bogenschutz United States
John Pickering Canada
Maria Knoth Humlum Denmark
Curtis Skinner United States
Catherine E. Déri Canada
Margaret Robinson United States
Chi-Leung Kwok Hong Kong
Ruth Townsley United Kingdom
Todd Honeycutt United States
Kris Southby United Kingdom
Kevin Ralston
Citations per year, relative to Kevin Ralston Kevin Ralston (= 1×) peers Kris Southby

Countries citing papers authored by Kevin Ralston

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Ralston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Ralston

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Ralston. A scholar is included among the top collaborators of Kevin Ralston 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 Kevin Ralston. Kevin Ralston 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
1.
Vincent, Jonathan & Kevin Ralston. (2023). Uncovering employment outcomes for autistic university graduates in the United Kingdom: An analysis of population data. Autism. 28(3). 732–743. 10 indexed citations
2.
Ralston, Kevin, et al.. (2020). Anxious women or complacent men? Anxiety of statistics in a sample of UK sociology undergraduates. International Journal of Social Research Methodology. 24(1). 79–91. 6 indexed citations
3.
Vincent, Jonathan & Kevin Ralston. (2019). Trainee teachers’ knowledge of autism: implications for understanding and inclusive practice. Oxford Review of Education. 46(2). 202–221. 22 indexed citations
4.
Everington, Dawn, Zhiqiang Feng, Kevin Ralston, & Chris Dibben. (2019). Risk factors for young people not in education, employment or training (NEET) using the Scottish Longitudinal Study. International Journal for Population Data Science. 4(3). 1 indexed citations
5.
Webster, Lisa, et al.. (2018). Adult report of childhood imaginary companions and adversity relates to concurrent prodromal psychosis symptoms. Psychiatry Research. 271. 150–152. 7 indexed citations
6.
Feng, Zhiqiang, Kevin Ralston, Dawn Everington, & Chris Dibben. (2018). P10 Long term health effects of NEET experiences: evidence from scotland. Poster presentations. A65.2–A66. 2 indexed citations
7.
Katikireddi, Srinivasa Vittal, Alastair H. Leyland, Martin McKee, Kevin Ralston, & David Stückler. (2017). Patterns of mortality by occupation in the UK, 1991–2011: a comparative analysis of linked census and mortality records. The Lancet Public Health. 2(11). e501–e512. 32 indexed citations
8.
Ralston, Kevin, David Walsh, Zhiqiang Feng, et al.. (2017). Do differences in religious affiliation explain high levels of excess mortality in the UK?. Journal of Epidemiology & Community Health. 71(5). 493–498. 7 indexed citations
9.
Feng, Zhiqiang, Kevin Ralston, Dawn Everington, & Chris Dibben. (2017). Long term health effects of NEET experiences: evidence from a longitudinal analysis of young people in Scotland. International Journal for Population Data Science. 1(1). 3 indexed citations
10.
Ralston, Kevin, John MacInnes, Graham Crow, & Vernon Gayle. (2016). We need to talk about statistical anxiety. A review of the evidence around statistical anxiety in the context of quantitative methods pedagogy. 6 indexed citations
11.
McKee, Martin, et al.. (2016). Occupational mortality rates in the UK: Geographical comparisons using linked administrative data. European Journal of Public Health. 26(suppl_1). 1 indexed citations
12.
Ralston, Kevin, Zhiqiang Feng, Dawn Everington, & Chris Dibben. (2016). Do young people not in education, employment or training experience long-term occupational scarring? A longitudinal analysis over 20 years of follow-up. Contemporary Social Science. 11(2-3). 203–221. 40 indexed citations
13.
Raab, Gillian, et al.. (2015). Mortality differences and inequalities within and between ‘protected characteristics’ groups, in a Scottish Cohort 1991–2009. International Journal for Equity in Health. 14(1). 142–142. 6 indexed citations
14.
Feng, Zhiqiang, Dawn Everington, Kevin Ralston, et al.. (2015). Consequences, risk factors, and geography of young people not in education, employment or training (NEET). Digital Education Resource Archive (University College London). 9 indexed citations
15.
Ralston, Kevin. (2015). A practical guide to using panel data. International Journal of Social Research Methodology. 18(5). 578–579. 21 indexed citations
16.
Ralston, Kevin, Ruth Dundas, & Alastair H. Leyland. (2014). A comparison of the Scottish Index of Multiple Deprivation (SIMD) 2004 with the 2009 + 1 SIMD: does choice of measure affect the interpretation of inequality in mortality?. International Journal of Health Geographics. 13(1). 27–27. 20 indexed citations
17.
Ralston, Kevin, et al.. (2014). Kwinana Freeway All Lane Running sign comprehension study. 1 indexed citations
18.
Dundas, Ruth, et al.. (2014). The influence of individual socioeconomic status and area deprivation on cause-specific mortality in England. European Journal of Public Health. 24(suppl_2). 2 indexed citations
19.
Dundas, Ruth, Kevin Ralston, David Walsh, & Alastair H. Leyland. (2013). OP31 Is Excess Mortality in Glasgow an Artefact of Inadequate Control for Deprivation: A Case-Control Study. Journal of Epidemiology & Community Health. 67(Suppl 1). A16.3–A17. 1 indexed citations
20.
Cullen, Chris, et al.. (1995). The effects of deinstitutionalization on adults with learning disabilities. Journal of Intellectual Disability Research. 39(6). 484–494. 44 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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