Rafael Molina‐Luque

50 papers receiving 404 citations

Peers

Rafael Molina‐Luque
Comparison fields: 5 of 82
  • Applied Psychology 25
  • General Health Professions 92
  • Nephrology 21
  • Public Health, Environmental and Occupational Health 72
  • Physiology 66
Replace Molly Kellogg with:
Molly Kellogg United States
Nerissa M. Collins United States
Anastasia Markaki Greece
Kathryn E. Coakley United States
Monika Bąk‐Sosnowska Poland
Halizah Mat Rifin Malaysia
Eliane Rodrigues de Faria Brazil
Yukun Cao China
Nik AA Tuah Brunei
Donald Bourne United States
Rafael Molina‐Luque relative to Molly Kellogg United States Molly Kellogg's profile →
Citations per field
00.5×8.4×
Molly Kellogg · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Rafael Molina‐Luque, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rafael Molina‐Luque Line = papers co-authored together Rafael Molina‐Luque links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202053
2 202233
3 201931
4 202119
5 201618
6 201915
7 202015
8 201814
9 202013
10 202012
11 202012
12 202012
13 202012
14 202011
15 202110
16 20239
17 20229
18 20208
19 20237
20 20217

About Rafael Molina‐Luque

Rafael Molina‐Luque is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Physiology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 51 papers that have together received 411 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (8 papers), Mobile Health and mHealth Applications (6 papers), Nutritional Studies and Diet (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Body Composition Measurement Techniques (4 papers), Health and Lifestyle Studies (4 papers), Nutrition and Health in Aging (4 papers) and Global Public Health Policies and Epidemiology (4 papers). The work is most often cited by research in Applied Psychology (25 citations), General Health Professions (92 citations), Nephrology (21 citations), Public Health, Environmental and Occupational Health (72 citations) and Physiology (66 citations). Rafael Molina‐Luque has collaborated with scholars based in Spain, United States and Chile. Frequent co-authors include Guillermo Molina‐Recio, Manuel Romero‐Saldaña, Rafael Moreno Rojas, Fernando Cámara‐Martos, Manuel Vaquero Abellán, Carlos Álvarez-Fernández, Lorenzo Salas‐Morera, Laura García‐Hernández, Miquel Bennasar‐Veny and Rocío de Diego‐Cordero. Their work appears in journals such as International Journal of Environmental Research and Public Health, Nutrients, Frontiers in Nutrition, JMIR mhealth and uhealth and Scientific Reports.

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.

Explore authors with similar magnitude of impact