Jesús Díaz‐Gutiérrez

484 total citations
14 papers, 345 citations indexed

About

Jesús Díaz‐Gutiérrez is a scholar working on Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and General Health Professions. According to data from OpenAlex, Jesús Díaz‐Gutiérrez has authored 14 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Public Health, Environmental and Occupational Health, 7 papers in Cardiology and Cardiovascular Medicine and 3 papers in General Health Professions. Recurrent topics in Jesús Díaz‐Gutiérrez's work include Nutritional Studies and Diet (11 papers), Cardiovascular Health and Risk Factors (6 papers) and Obesity, Physical Activity, Diet (4 papers). Jesús Díaz‐Gutiérrez is often cited by papers focused on Nutritional Studies and Diet (11 papers), Cardiovascular Health and Risk Factors (6 papers) and Obesity, Physical Activity, Diet (4 papers). Jesús Díaz‐Gutiérrez collaborates with scholars based in Spain, United States and United Kingdom. Jesús Díaz‐Gutiérrez's co-authors include Miguel Ángel Martínez‐González, Maira Bes‐Rastrollo, Miguel Ruiz‐Canela, Alfredo Gea, Alejandro Fernández‐Montero, Liz Ruiz-Estigarribia, Stefanos N. Kales, Pedro González‐Muniesa, Juan José Pons Izquierdo and Almudena Sánchez‐Villegas and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and American Journal of Preventive Medicine.

In The Last Decade

Jesús Díaz‐Gutiérrez

14 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesús Díaz‐Gutiérrez Spain 10 181 103 91 49 41 14 345
Rumana Khan United States 14 95 0.5× 130 1.3× 92 1.0× 43 0.9× 63 1.5× 32 417
Ashley E. Moncrieft United States 9 129 0.7× 132 1.3× 47 0.5× 36 0.7× 31 0.8× 16 285
Hwi-Won Lee South Korea 13 174 1.0× 126 1.2× 31 0.3× 50 1.0× 38 0.9× 16 445
Zhongyan Tian China 14 87 0.5× 63 0.6× 72 0.8× 74 1.5× 48 1.2× 18 386
Moniek Looman Netherlands 8 246 1.4× 106 1.0× 50 0.5× 32 0.7× 39 1.0× 9 450
Benjamin Chih Chiang Lam Singapore 6 148 0.8× 125 1.2× 116 1.3× 87 1.8× 45 1.1× 11 354
Yannis Lentzas Greece 9 219 1.2× 219 2.1× 82 0.9× 59 1.2× 49 1.2× 10 426
Patricia A. Cowan United States 13 131 0.7× 80 0.8× 57 0.6× 93 1.9× 23 0.6× 38 438
Qiaofeng Song China 13 82 0.5× 67 0.7× 178 2.0× 84 1.7× 51 1.2× 21 435
Mana Kogure Japan 12 102 0.6× 66 0.6× 82 0.9× 34 0.7× 38 0.9× 52 405

Countries citing papers authored by Jesús Díaz‐Gutiérrez

Since Specialization
Citations

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

Fields of papers citing papers by Jesús Díaz‐Gutiérrez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesús Díaz‐Gutiérrez. 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 Jesús Díaz‐Gutiérrez. The network helps show where Jesús Díaz‐Gutiérrez may publish in the future.

Co-authorship network of co-authors of Jesús Díaz‐Gutiérrez

This figure shows the co-authorship network connecting the top 25 collaborators of Jesús Díaz‐Gutiérrez. A scholar is included among the top collaborators of Jesús Díaz‐Gutiérrez 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 Jesús Díaz‐Gutiérrez. Jesús Díaz‐Gutiérrez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Díaz‐Gutiérrez, Jesús, Leticia Goñi, Miguel Ángel González Martínez, et al.. (2025). Sleeping and the risk of atrial fibrillation: a prospective study in the SUN cohort. European Journal of Preventive Cardiology. 1 indexed citations
2.
Riera, Melchor, Rosario Ortolá, Stefanos N. Kales, et al.. (2025). Health and environmental dietary impact: Planetary health diet vs. Mediterranean diet. A nationwide cohort in Spain. The Science of The Total Environment. 968. 178924–178924. 6 indexed citations
3.
Díaz‐Gutiérrez, Jesús, Miguel Ángel Martínez‐González, Álvaro Alonso, et al.. (2023). American Heart Association's life simple 7 and the risk of atrial fibrillation in the PREDIMED study cohort. Nutrition Metabolism and Cardiovascular Diseases. 33(6). 1144–1148. 5 indexed citations
4.
Ruiz-Estigarribia, Liz, Miguel Ángel Martínez‐González, Jesús Díaz‐Gutiérrez, et al.. (2020). Lifestyle-Related Factors and Total Mortality in a Mediterranean Prospective Cohort. American Journal of Preventive Medicine. 59(2). e59–e67. 20 indexed citations
5.
Ruiz-Estigarribia, Liz, Miguel Ángel Martínez‐González, Jesús Díaz‐Gutiérrez, et al.. (2020). Lifestyle behavior and the risk of type 2 diabetes in the Seguimiento Universidad de Navarra (SUN) cohort. Nutrition Metabolism and Cardiovascular Diseases. 30(8). 1355–1364. 7 indexed citations
6.
Hershey, María Soledad, Mercedes Sotos‐Prieto, Stefanos N. Kales, et al.. (2020). The Association Between the Mediterranean Lifestyle Index and All-Cause Mortality in the Seguimiento Universidad de Navarra Cohort. American Journal of Preventive Medicine. 59(6). e239–e248. 17 indexed citations
7.
Ruiz-Estigarribia, Liz, Miguel Ángel Martínez‐González, Jesús Díaz‐Gutiérrez, et al.. (2019). Lifestyles and the risk of depression in the “Seguimiento Universidad de Navarra” cohort. European Psychiatry. 61. 33–40. 33 indexed citations
8.
Díaz‐Gutiérrez, Jesús, Liz Ruiz-Estigarribia, Maira Bes‐Rastrollo, et al.. (2019). The role of lifestyle behaviour on the risk of hypertension in the SUN cohort: The hypertension preventive score. Preventive Medicine. 123. 171–178. 21 indexed citations
9.
Díaz‐Gutiérrez, Jesús, Alexander D. Miras, Camilo Silva, et al.. (2018). High Body Adiposity Drives Glucose Intolerance and Increases Cardiovascular Risk in Normoglycemic Subjects. Obesity. 26(4). 672–682. 11 indexed citations
10.
Díaz‐Gutiérrez, Jesús, Miguel Ruiz‐Canela, Alfredo Gea, et al.. (2018). Healthy Lifestyle and Incidence of Metabolic Syndrome in the SUN Cohort. Nutrients. 11(1). 65–65. 80 indexed citations
11.
Díaz‐Gutiérrez, Jesús, Miguel Ruiz‐Canela, Alfredo Gea, Alejandro Fernández‐Montero, & Miguel Ángel Martínez‐González. (2017). Association Between a Healthy Lifestyle Score and the Risk of Cardiovascular Disease in the SUN Cohort. Revista Española de Cardiología (English Edition). 71(12). 1001–1009. 46 indexed citations
12.
Bes‐Rastrollo, Maira, Carmen Sayón-Orea, Aurora Perez‐Cornago, et al.. (2017). Living at a Geographically Higher Elevation Is Associated with Lower Risk of Metabolic Syndrome: Prospective Analysis of the SUN Cohort. Frontiers in Physiology. 7. 658–658. 27 indexed citations
13.
Díaz‐Gutiérrez, Jesús, Miguel Ruiz‐Canela, Alfredo Gea, Alejandro Fernández‐Montero, & Miguel Ángel Martínez‐González. (2017). Relación entre un índice de estilo de vida saludable y el riesgo de enfermedad cardiovascular en la cohorte SUN. Revista Española de Cardiología. 71(12). 1001–1009. 34 indexed citations
14.
Díaz‐Gutiérrez, Jesús, Miguel Ángel Martínez‐González, Juan José Pons Izquierdo, et al.. (2016). Living at Higher Altitude and Incidence of Overweight/Obesity: Prospective Analysis of the SUN Cohort. PLoS ONE. 11(11). e0164483–e0164483. 37 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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