Chris Kypridemos

1.7k total citations
60 papers, 1.0k citations indexed

About

Chris Kypridemos is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Health. According to data from OpenAlex, Chris Kypridemos has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Public Health, Environmental and Occupational Health, 23 papers in General Health Professions and 14 papers in Health. Recurrent topics in Chris Kypridemos's work include Nutritional Studies and Diet (16 papers), Health disparities and outcomes (14 papers) and Chronic Disease Management Strategies (11 papers). Chris Kypridemos is often cited by papers focused on Nutritional Studies and Diet (16 papers), Health disparities and outcomes (14 papers) and Chronic Disease Management Strategies (11 papers). Chris Kypridemos collaborates with scholars based in United Kingdom, Poland and United States. Chris Kypridemos's co-authors include Martín O’Flaherty, Simon Capewell, Jonathan Pearson‐Stuttard, Lirije Hyseni, Maria Guzman-Castillo, Helen Bromley, Ffion Lloyd‐Williams, Kate M. Fleming, Brendan Collins and Piotr Bandosz and has published in prestigious journals such as The Lancet, Circulation and Nature Communications.

In The Last Decade

Chris Kypridemos

51 papers receiving 988 citations

Peers

Chris Kypridemos
Daniel Ferrante Argentina
Tom Achoki United States
Lirije Hyseni United Kingdom
Chris Kypridemos
Citations per year, relative to Chris Kypridemos Chris Kypridemos (= 1×) peers Ramiro Guerrero

Countries citing papers authored by Chris Kypridemos

Since Specialization
Citations

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

Fields of papers citing papers by Chris Kypridemos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Kypridemos

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Kypridemos. A scholar is included among the top collaborators of Chris Kypridemos 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 Kypridemos. Chris Kypridemos 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.
Lau, Yiu‐Shing, Matt Sutton, Michael Anderson, et al.. (2024). Inequalities in the prevalence recording of 205 chronic conditions recorded in primary and secondary care for 12 million patients in the English National Health Service. BMC Medicine. 22(1). 570–570. 3 indexed citations
4.
Birkett, Max, et al.. (2024). Socioeconomic inequalities in accumulation of multimorbidity in England from 2019 to 2049: a microsimulation projection study. The Lancet Public Health. 9(4). e231–e239. 11 indexed citations
5.
Emmert-Fees, Karl, Nina Wawro, Jakob Linseisen, et al.. (2023). Projected health and economic impacts of sugar-sweetened beverage taxation in Germany: A cross-validation modelling study. PLoS Medicine. 20(11). e1004311–e1004311. 4 indexed citations
6.
Emmert-Fees, Karl, et al.. (2023). Forecasting the mortality burden of coronary heart disease and stroke in Germany: National trends and regional inequalities. International Journal of Cardiology. 393. 131359–131359. 1 indexed citations
7.
Chen, Tao, Howard Reed, Elliott Johnson, et al.. (2023). Quantifying the mental health and economic impacts of prospective Universal Basic Income schemes among young people in the UK: a microsimulation modelling study. BMJ Open. 13(10). e075831–e075831. 9 indexed citations
8.
Kiyoshige, Eri, Soshiro Ogata, Martín O’Flaherty, et al.. (2022). Projections of future coronary heart disease and stroke mortality in Japan until 2040: a Bayesian age-period-cohort analysis. The Lancet Regional Health - Western Pacific. 31. 100637–100637. 26 indexed citations
10.
Lloyd‐Williams, Ffion, Lirije Hyseni, Maria Guzman-Castillo, et al.. (2020). Evaluating stakeholder involvement in building a decision support tool for NHS health checks: co-producing the WorkHORSE study. BMC Medical Informatics and Decision Making. 20(1). 182–182. 13 indexed citations
11.
Hyseni, Lirije, Maria Guzman-Castillo, Chris Kypridemos, et al.. (2020). Engaging with stakeholders to inform the development of a decision-support tool for the NHS health check programme: qualitative study. BMC Health Services Research. 20(1). 394–394. 7 indexed citations
12.
Kypridemos, Chris, Elisa Puzzolo, Borgar Aamaas, et al.. (2020). Health and Climate Impacts of Scaling Adoption of Liquefied Petroleum Gas (LPG) for Clean Household Cooking in Cameroon: A Modeling Study. Environmental Health Perspectives. 128(4). 47001–47001. 25 indexed citations
13.
Collins, Brendan, Chris Kypridemos, Richard Cookson, et al.. (2019). Universal or targeted cardiovascular screening? Modelling study using a sector-specific distributional cost effectiveness analysis. Preventive Medicine. 130. 105879–105879. 12 indexed citations
14.
Kypridemos, Chris, Brendan Collins, Philip McHale, et al.. (2018). Future cost-effectiveness and equity of the NHS Health Check cardiovascular disease prevention programme: Microsimulation modelling using data from Liverpool, UK. PLoS Medicine. 15(5). e1002573–e1002573. 39 indexed citations
15.
Kypridemos, Chris, Maria Guzman-Castillo, Lirije Hyseni, et al.. (2017). Estimated reductions in cardiovascular and gastric cancer disease burden through salt policies in England: an IMPACT NCD microsimulation study. BMJ Open. 7(1). e013791–e013791. 38 indexed citations
16.
Hyseni, Lirije, Ffion Lloyd‐Williams, Chris Kypridemos, et al.. (2017). Systematic review of dietary salt reduction policies: Evidence for an effectiveness hierarchy?. PLoS ONE. 12(5). e0177535–e0177535. 194 indexed citations
17.
Kypridemos, Chris, Kirk Allen, Graeme L. Hickey, et al.. (2016). Cardiovascular screening to reduce the burden from cardiovascular disease: microsimulation study to quantify policy options. BMJ. 353. i2793–i2793. 50 indexed citations
18.
Allen, Kirk, Chris Kypridemos, Lirije Hyseni, et al.. (2016). The effects of maximising the UK’s tobacco control score on inequalities in smoking prevalence and premature coronary heart disease mortality: a modelling study. BMC Public Health. 16(1). 292–292. 11 indexed citations
19.
Kypridemos, Chris, Piotr Bandosz, Graeme L. Hickey, et al.. (2015). Quantifying the Contribution of Statins to the Decline in Population Mean Cholesterol by Socioeconomic Group in England 1991 - 2012: A Modelling Study. PLoS ONE. 10(4). e0123112–e0123112. 7 indexed citations
20.
Bandosz, Piotr, Martín O’Flaherty, Marcin Rutkowski, et al.. (2015). A victory for statins or a defeat for diet policies? Cholesterol falls in Poland in the past decade: A modeling study. International Journal of Cardiology. 185. 313–319. 8 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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