Rafael Molina‐Luque

670 total citations
50 papers, 380 citations indexed

About

Rafael Molina‐Luque is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Physiology. According to data from OpenAlex, Rafael Molina‐Luque has authored 50 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Public Health, Environmental and Occupational Health, 19 papers in General Health Professions and 16 papers in Physiology. Recurrent topics in Rafael Molina‐Luque's work include Obesity, Physical Activity, Diet (15 papers), Nutritional Studies and Diet (10 papers) and Mobile Health and mHealth Applications (8 papers). Rafael Molina‐Luque is often cited by papers focused on Obesity, Physical Activity, Diet (15 papers), Nutritional Studies and Diet (10 papers) and Mobile Health and mHealth Applications (8 papers). Rafael Molina‐Luque collaborates with scholars based in Spain, United States and Chile. Rafael Molina‐Luque's co-authors include Guillermo Molina‐Recio, Manuel Romero‐Saldaña, Fernando Cámara‐Martos, Rafael Moreno Rojas, Manuel Vaquero Abellán, Carlos Álvarez-Fernández, Laura García‐Hernández, Lorenzo Salas‐Morera, Miquel Bennasar‐Veny and Rocío de Diego‐Cordero and has published in prestigious journals such as Scientific Reports, Nutrients and International Journal of Environmental Research and Public Health.

In The Last Decade

Rafael Molina‐Luque

46 papers receiving 373 citations

Peers

Rafael Molina‐Luque
Guillermo Molina‐Recio Spain
George Siopis Australia
Anne-Laurence Le Faou France
Isabel Garcia de Quevedo United States
Moa Wolff Sweden
Bill Stavreski Australia
Dona Upson United States
Jacob K. Kariuki United States
Yaneth Herazo-Beltrán Colombia
Nan Lv United States
Guillermo Molina‐Recio Spain
Rafael Molina‐Luque
Citations per year, relative to Rafael Molina‐Luque Rafael Molina‐Luque (= 1×) peers Guillermo Molina‐Recio

Countries citing papers authored by Rafael Molina‐Luque

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Molina‐Luque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael Molina‐Luque. 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 Rafael Molina‐Luque. The network helps show where Rafael Molina‐Luque may publish in the future.

Co-authorship network of co-authors of Rafael Molina‐Luque

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Molina‐Luque. A scholar is included among the top collaborators of Rafael Molina‐Luque 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 Rafael Molina‐Luque. Rafael Molina‐Luque 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.
Romero‐Saldaña, Manuel, et al.. (2025). Metabolic Syndrome in the Amazon: Customizing Diagnostic Methods for Urban Communities. Nutrients. 17(3). 538–538.
2.
Carrasco‐Marín, Fernanda, Solange Parra‐Soto, Jirapitcha Boonpor, et al.. (2025). Adherence to four dietary indices and the risk of all‐cause and cause‐specific dementia: Findings from the UK Biobank study. Diabetes Obesity and Metabolism. 27(10). 5612–5621. 1 indexed citations
3.
Carrasco‐Marín, Fernanda, Longgang Zhao, James R. Hébert, et al.. (2024). Association of a dietary inflammatory index with cardiometabolic, endocrine, liver, renal and bones biomarkers: cross-sectional analysis of the UK Biobank study. Nutrition Metabolism and Cardiovascular Diseases. 34(7). 1731–1740. 5 indexed citations
4.
5.
6.
Molina‐Luque, Rafael, et al.. (2023). The Impact of Metabolic Syndrome Risk Factors on Lung Function Impairment: Cross-Sectional Study. JMIR Public Health and Surveillance. 9. e43737–e43737. 6 indexed citations
7.
Abellán, Manuel Vaquero, et al.. (2023). Association between Metabolic Syndrome and Leukocytes: Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 12(22). 7044–7044. 3 indexed citations
8.
Romero‐Saldaña, Manuel, et al.. (2023). Development of a Predictive Model of Cardiovascular Risk in a Male Population from the Peruvian Amazon. Journal of Clinical Medicine. 12(9). 3199–3199. 1 indexed citations
9.
Romero‐Saldaña, Manuel, et al.. (2021). Relationships between work, lifestyles, and obesity: cross-sectional study based on the 2017 Spanish National Health Survey. European Journal of Cardiovascular Nursing. 21(3). 243–253. 6 indexed citations
10.
Molina‐Luque, Rafael, et al.. (2021). Accuracy of the Resting Energy Expenditure Estimation Equations for Healthy Women. Nutrients. 13(2). 345–345. 6 indexed citations
11.
Molina‐Luque, Rafael, et al.. (2021). The Effects of the Pilates Method on Pelvic Floor Injuries during Pregnancy and Childbirth: A Quasi-Experimental Study. International Journal of Environmental Research and Public Health. 18(13). 6995–6995. 10 indexed citations
12.
Molina‐Recio, Guillermo, et al.. (2020). Proposal for the User-Centered Design Approach for Health Apps Based on Successful Experiences: Integrative Review. JMIR mhealth and uhealth. 8(4). e14376–e14376. 50 indexed citations
13.
Romero‐Saldaña, Manuel, et al.. (2020). Women‐centred workplace health promotion interventions: a systematic review. International Nursing Review. 68(1). 90–98. 12 indexed citations
14.
Cámara‐Martos, Fernando, et al.. (2020). Effect of an mHealth Intervention Using a Pedometer App With Full In-Person Counseling on Body Composition of Overweight Adults: Randomized Controlled Weight Loss Trial. JMIR mhealth and uhealth. 8(5). e16999–e16999. 11 indexed citations
15.
Molina‐Recio, Guillermo, et al.. (2020). Comparación de índices antropométricos, clásicos y nuevos, para el cribado de Síndrome Metabólico en población adulta laboral. Revista Española de Salud Pública. 94(94). 83. 1 indexed citations
16.
Molina‐Luque, Rafael, Aina M. Yáñez, Miquel Bennasar‐Veny, et al.. (2020). A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations. International Journal of Environmental Research and Public Health. 17(21). 7940–7940. 13 indexed citations
17.
Romero‐Saldaña, Manuel, et al.. (2020). New Simplified Diagnostic Decision Trees for the Detention of Metabolic Syndrome in the Elderly. International Journal of Environmental Research and Public Health. 17(14). 5191–5191. 3 indexed citations
18.
Vaquero, M, et al.. (2020). Diagnostic Precision of Anthropometric Variables for the Detection of Hypertension in Children and Adolescents. International Journal of Environmental Research and Public Health. 17(12). 4415–4415. 12 indexed citations
19.
Cámara‐Martos, Fernando, et al.. (2019). Push Notifications From a Mobile App to Improve the Body Composition of Overweight or Obese Women: Randomized Controlled Trial. JMIR mhealth and uhealth. 8(2). e13747–e13747. 30 indexed citations
20.
Molina‐Luque, Rafael, et al.. (2018). ¿es válido el cribado nutricional de los ancianos a través del mini nutritional assesment (mna-sf) en su versión corta adaptada al castellano?. Nutrición Hospitalaria. 36(2). 290–295. 6 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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2026