Maria Guzman-Castillo

2.3k total citations · 1 hit paper
50 papers, 1.4k citations indexed

About

Maria Guzman-Castillo is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Health. According to data from OpenAlex, Maria Guzman-Castillo has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Public Health, Environmental and Occupational Health, 19 papers in General Health Professions and 15 papers in Health. Recurrent topics in Maria Guzman-Castillo's work include Health disparities and outcomes (15 papers), Nutritional Studies and Diet (13 papers) and Global Health Care Issues (12 papers). Maria Guzman-Castillo is often cited by papers focused on Health disparities and outcomes (15 papers), Nutritional Studies and Diet (13 papers) and Global Health Care Issues (12 papers). Maria Guzman-Castillo collaborates with scholars based in United Kingdom, Poland and Finland. Maria Guzman-Castillo's co-authors include Martín O’Flaherty, Simon Capewell, Piotr Bandosz, Lirije Hyseni, Sara Ahmadi‐Abhari, Kirk Allen, Martin J. Shipley, Eric J. Brunner, Chris Kypridemos and Mika Kivimäki and has published in prestigious journals such as The Lancet, Circulation and PLoS ONE.

In The Last Decade

Maria Guzman-Castillo

45 papers receiving 1.3k 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.

Are interventions to promote healthy eating equally effective for all? Systematic review of socioeconomic inequalities in impact

2015 291 citations Rory McGill, Elspeth Anwar et al. BMC Public Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria Guzman-Castillo United Kingdom	17	597	365	239	191	166	50	1.4k
Piotr Bandosz Poland	21	536 0.9×	381 1.0×	234 1.0×	371 1.9×	149 0.9×	88	1.7k
Loes Jaspers Netherlands	21	335 0.6×	249 0.7×	174 0.7×	137 0.7×	56 0.3×	24	1.6k
Amanda Cristina de Souza Andrade Brazil	18	359 0.6×	391 1.1×	216 0.9×	99 0.5×	62 0.4×	147	1.2k
Emilie Agardh Sweden	15	385 0.6×	433 1.2×	280 1.2×	128 0.7×	40 0.2×	39	1.7k
Isolde Sommer Austria	17	352 0.6×	280 0.8×	82 0.3×	79 0.4×	75 0.5×	56	1.5k
Liza Bowen United Kingdom	17	538 0.9×	136 0.4×	113 0.5×	143 0.7×	197 1.2×	44	1.2k
Kathryn Wilkins Canada	20	263 0.4×	380 1.0×	113 0.5×	324 1.7×	100 0.6×	39	1.7k
Saruna Ghimire United States	21	171 0.3×	255 0.7×	229 1.0×	76 0.4×	127 0.8×	71	1.1k
Kristie J. Lancaster United States	18	897 1.5×	489 1.3×	204 0.9×	216 1.1×	187 1.1×	39	1.8k
David R. MacLean Canada	21	322 0.5×	394 1.1×	145 0.6×	331 1.7×	77 0.5×	39	1.5k

Countries citing papers authored by Maria Guzman-Castillo

Since Specialization

Citations

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

Fields of papers citing papers by Maria Guzman-Castillo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Guzman-Castillo. 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 Maria Guzman-Castillo. The network helps show where Maria Guzman-Castillo may publish in the future.

Co-authorship network of co-authors of Maria Guzman-Castillo

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Guzman-Castillo. A scholar is included among the top collaborators of Maria Guzman-Castillo 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 Maria Guzman-Castillo. Maria Guzman-Castillo 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

Nilson, Eduardo Augusto Fernandes, Jonathan Pearson‐Stuttard, Brendan Collins, et al.. (2022). OP39 Quantifying the health and economic benefits of different salt reduction strategies in Brazil: a microsimulation analysis. A19.2–A20. 1 indexed citations

Nilson, Eduardo Augusto Fernandes, Jonathan Pearson‐Stuttard, Brendan Collins, et al.. (2021). Estimating the health and economic effects of the voluntary sodium reduction targets in Brazil: microsimulation analysis. BMC Medicine. 19(1). 225–225. 16 indexed citations

O’Flaherty, Martín, Maria Guzman-Castillo, Simon Capewell, et al.. (2020). Explaining the increment in coronary heart disease mortality in Mexico between 2000 and 2012. PLoS ONE. 15(12). e0242930–e0242930. 4 indexed citations

Ogata, Soshiro, Kunihiro Nishimura, Maria Guzman-Castillo, et al.. (2019). Explaining the decline in coronary heart disease mortality rates in Japan: Contributions of changes in risk factors and evidence-based treatments between 1980 and 2012. International Journal of Cardiology. 291. 183–188. 26 indexed citations

Seferidi, Paraskevi, Anthony A Laverty, Jonathan Pearson‐Stuttard, et al.. (2019). Impacts of Brexit on fruit and vegetable intake and cardiovascular disease in England: a modelling study. BMJ Open. 9(1). e026966–e026966. 16 indexed citations

Sexton, Eithne, Nora-Ann Donnelly, Martín O’Flaherty, et al.. (2018). Projecting incidence of post-stroke cognitive impairment and dementia in the Irish population aged 40–89 years in 2015 to 2025. The Lancet. 392. S78–S78.

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

Hyseni, Lirije, Helen Bromley, Chris Kypridemos, et al.. (2017). Systematic review of dietary trans-fat reduction interventions. Bulletin of the World Health Organization. 95(12). 821–830G. 43 indexed citations

Seferidi, Paraskevi, Anthony A Laverty, Jonathan Pearson‐Stuttard, et al.. (2017). Implications of Brexit for the effectiveness of the UK soft drinks industry levy on coronary heart disease in England: a modelling study. The Lancet. 390. S9–S9. 2 indexed citations

10.

Guzman-Castillo, Maria, Sara Ahmadi‐Abhari, Piotr Bandosz, et al.. (2017). P81 Forecasting trends in disability in england and wales to 2030: a modelling study. HighWire Press Open Archive. A88.1–A88.

11.

Hyseni, Lirije, Jean‐Claude Moubarac, Ana Paula Bortoletto Martins, et al.. (2017). Effects of reducing processed culinary ingredients and ultra-processed foods in the Brazilian diet: a cardiovascular modelling study. Public Health Nutrition. 21(1). 181–188. 43 indexed citations

12.

Pearson‐Stuttard, Jonathan, Julia Critchley, Simon Capewell, et al.. (2016). Cost-effectiveness analysis of eliminating industrial and all trans fats in England and Wales: modelling study. Journal of Public Health. 39(3). 574–582. 20 indexed citations

13.

Björck, Lena, Annika Rosengren, Anna Winkvist, et al.. (2016). Changes in Dietary Fat Intake and Projections for Coronary Heart Disease Mortality in Sweden: A Simulation Study. PLoS ONE. 11(8). e0160474–e0160474. 15 indexed citations

14.

İşlek, Duygu, Kaan Sözmen, Belgin Ünal, et al.. (2016). Estimating the potential contribution of stroke treatments and preventative policies to reduce the stroke and ischemic heart disease mortality in Turkey up to 2032: a modelling study. BMC Public Health. 16(1). 46–46. 5 indexed citations

15.

O’Flaherty, Martín, Piotr Bandosz, Julia Critchley, et al.. (2016). Exploring potential mortality reductions in 9 European countries by improving diet and lifestyle: A modelling approach. International Journal of Cardiology. 207. 286–291. 15 indexed citations

16.

Guzman-Castillo, Maria, Rushdiá Ahmed, Nathaniel M. Hawkins, et al.. (2015). The contribution of primary prevention medication and dietary change in coronary mortality reduction in England between 2000 and 2007: a modelling study. BMJ Open. 5(1). e006070–e006070. 16 indexed citations

17.

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

18.

Gillespie, Duncan, Kirk Allen, Maria Guzman-Castillo, et al.. (2015). The Health Equity and Effectiveness of Policy Options to Reduce Dietary Salt Intake in England: Policy Forecast. PLoS ONE. 10(7). e0127927–e0127927. 32 indexed citations

19.

Collins, Marissa, Helen Mason, Martín O’Flaherty, et al.. (2014). An Economic Evaluation of Salt Reduction Policies to Reduce Coronary Heart Disease in England: A Policy Modeling Study. Value in Health. 17(5). 517–524. 77 indexed citations

20.

Liu, Andy, et al.. (2013). Reduction in myocardial infarction admissions in Liverpool after the smoking ban: potential socioeconomic implications for policymaking. BMJ Open. 3(11). e003307–e003307. 17 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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