Chris Dibben

7.4k total citations · 2 hit papers
123 papers, 4.8k citations indexed

About

Chris Dibben is a scholar working on Health, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Chris Dibben has authored 123 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Health, 36 papers in General Health Professions and 22 papers in Sociology and Political Science. Recurrent topics in Chris Dibben's work include Health disparities and outcomes (48 papers), Climate Change and Health Impacts (15 papers) and Global Health Care Issues (14 papers). Chris Dibben is often cited by papers focused on Health disparities and outcomes (48 papers), Climate Change and Health Impacts (15 papers) and Global Health Care Issues (14 papers). Chris Dibben collaborates with scholars based in United Kingdom, Australia and United States. Chris Dibben's co-authors include Michael Noble, Helen Barnes, David McLennan, Gemma Wright, Tom Clemens, George Smith, Gillian Raab, Beata Nowok, Chris Playford and Harvey Goldstein and has published in prestigious journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Chris Dibben

117 papers receiving 4.7k citations

Hit Papers

The English indices of deprivation 2004 2004 2026 2011 2018 2004 2011 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Dibben United Kingdom 29 1.4k 1.1k 741 618 542 123 4.8k
Theo Lorenc United Kingdom 29 2.0k 1.4× 665 0.6× 740 1.0× 649 1.1× 555 1.0× 62 4.5k
Paul Norman United Kingdom 41 1.7k 1.2× 1.3k 1.2× 1.5k 2.0× 736 1.2× 475 0.9× 213 6.2k
Hilary Thomson United Kingdom 33 2.0k 1.4× 1.1k 1.0× 962 1.3× 884 1.4× 420 0.8× 91 6.5k
Gerry McCartney United Kingdom 32 2.2k 1.6× 1.7k 1.6× 600 0.8× 507 0.8× 406 0.7× 194 4.7k
Nadine Schuurman Canada 40 701 0.5× 622 0.6× 596 0.8× 1.1k 1.7× 502 0.9× 177 4.9k
Norman J. Johnson United States 28 1.2k 0.9× 1.3k 1.1× 667 0.9× 418 0.7× 413 0.8× 49 4.4k
Alan Shiell Australia 34 3.5k 2.5× 1.1k 1.0× 790 1.1× 1.3k 2.1× 584 1.1× 133 7.5k
Elizabeth Kendall Australia 41 2.3k 1.6× 547 0.5× 807 1.1× 638 1.0× 1.2k 2.2× 276 6.3k
Peter Muennig United States 37 1.3k 0.9× 1.0k 0.9× 594 0.8× 662 1.1× 402 0.7× 159 4.2k
Elise Whitley United Kingdom 39 977 0.7× 1.1k 1.0× 580 0.8× 545 0.9× 477 0.9× 100 5.3k

Countries citing papers authored by Chris Dibben

Since Specialization
Citations

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

Fields of papers citing papers by Chris Dibben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Dibben

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Dibben. A scholar is included among the top collaborators of Chris Dibben 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 Chris Dibben. Chris Dibben 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.
Berrie, Laurie, et al.. (2024). Does cycle commuting reduce the risk of mental ill-health? An instrumental variable analysis using distance to nearest cycle path. International Journal of Epidemiology. 53(1). 8 indexed citations
3.
Walsh, David, Bruce Whyte, Chris Dibben, et al.. (2024). Health benefits of pedestrian and cyclist commuting: evidence from the Scottish Longitudinal Study. SHILAP Revista de lepidopterología. 2(1). e001295–e001295. 3 indexed citations
4.
MacRae, Clare, Anna C. Meyer, Stewart W Mercer, et al.. (2024). Impact of household characteristics on patient outcomes post hip fracture: a Welsh nationwide observational cohort study. BMC Public Health. 24(1). 3344–3344. 2 indexed citations
5.
MacRae, Clare, Stewart W Mercer, David Henderson, et al.. (2023). The impact of varying the number and selection of conditions on estimated multimorbidity prevalence: A cross-sectional study using a large, primary care population dataset. PLoS Medicine. 20(4). e1004208–e1004208. 13 indexed citations
7.
MacRae, Clare, Edward R. Lawrence, Thomas J. Connor, et al.. (2022). Household and area determinants of emergency department attendance and hospitalisation in people with multimorbidity: a systematic review. BMJ Open. 12(10). e063441–e063441. 3 indexed citations
8.
Cherrie, Mark, et al.. (2021). Ultraviolet A radiation and COVID‐19 deaths in the USA with replication studies in England and Italy*. British Journal of Dermatology. 185(2). 363–370. 33 indexed citations
9.
Hastie, Claire E., Daniel Mackay, Tom Clemens, et al.. (2021). Antenatal Exposure to UV‐B Radiation and Preeclampsia: A Retrospective Cohort Study. Journal of the American Heart Association. 10(13). e020246–e020246. 3 indexed citations
10.
Speake, Janet, Victoria Kennedy, Nicolau Wallenstein, et al.. (2021). Changing hazard awareness over two decades: the case of Furnas, São Miguel (Azores). Geological Society London Special Publications. 519(1). 131–145. 1 indexed citations
11.
Favarato, Graziella, Tom Clemens, Steve Cunningham, et al.. (2021). Air Pollution, housing and respiratory tract Infections in Children: NatIonal birth Cohort study (PICNIC): study protocol. BMJ Open. 11(5). e048038–e048038. 3 indexed citations
12.
Dearle, Alan, et al.. (2019). Linking Scottish vital event records using family groups. Historical Methods A Journal of Quantitative and Interdisciplinary History. 53(2). 130–146. 2 indexed citations
13.
Jones, Kerina, et al.. (2019). The Good, the Bad, the Clunky. International Journal for Population Data Science. 4(1). 587–587. 8 indexed citations
14.
Watson, Verity, et al.. (2019). Testing the Expert Based Weights Used in the UK’s Index of Multiple Deprivation (IMD) Against Three Preference-Based Methods. Social Indicators Research. 144(3). 1055–1074. 7 indexed citations
15.
Walsh, David, Zhiqiang Feng, D Buchanan, et al.. (2019). Does ethnic diversity explain intra-UK variation in mortality? A longitudinal cohort study. BMJ Open. 9(3). e024563–e024563. 6 indexed citations
16.
Elliot, Mark, Kieron O’Hara, Charles D. Raab, et al.. (2018). Functional anonymisation: Personal data and the data environment. Computer law & security review. 34(2). 204–221. 17 indexed citations
17.
Soyiri, Ireneous N, Aziz Sheikh, Stefan Reis, et al.. (2018). Improving predictive asthma algorithms with modelled environment data for Scotland: an observational cohort study protocol. BMJ Open. 8(5). e023289–e023289. 8 indexed citations
19.
Evans, Josie, Iain Atherton, Chris Dibben, & Gill Hubbard. (2011). The health and well-being of people with a previous diagnosis of cancer: A record-linkage study in Scotland. Journal of Public Health and Epidemiology. 3(10). 429–432. 3 indexed citations
20.
Noble, Michael, et al.. (2002). Developing deprivation measures for Northern Ireland. Trinity's Access to Research Output (TARA) (Trinity College Dublin). 31. 5 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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