Carolina Ortega‐Azorín

3.3k total citations
39 papers, 998 citations indexed

About

Carolina Ortega‐Azorín is a scholar working on Nutrition and Dietetics, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Carolina Ortega‐Azorín has authored 39 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nutrition and Dietetics, 12 papers in Public Health, Environmental and Occupational Health and 7 papers in Molecular Biology. Recurrent topics in Carolina Ortega‐Azorín's work include Nutritional Studies and Diet (10 papers), Biochemical Analysis and Sensing Techniques (8 papers) and Diet and metabolism studies (5 papers). Carolina Ortega‐Azorín is often cited by papers focused on Nutritional Studies and Diet (10 papers), Biochemical Analysis and Sensing Techniques (8 papers) and Diet and metabolism studies (5 papers). Carolina Ortega‐Azorín collaborates with scholars based in Spain, United States and Colombia. Carolina Ortega‐Azorín's co-authors include Dolores Corella, Óscar Coltell, José V. Sorlí, José M. Ordovás, Eva M. Asensio, José I. González, Rocío Barragán, Ramón Estruch, Olga Portolés and Rebeca Fernández-Carrión and has published in prestigious journals such as Circulation, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Carolina Ortega‐Azorín

34 papers receiving 982 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carolina Ortega‐Azorín Spain	17	321	294	236	207	162	39	998
Shino Oba Japan	22	258 0.8×	343 1.2×	80 0.3×	596 2.9×	121 0.7×	50	1.4k
Antonio Gennaro Nicotera Italy	12	95 0.3×	303 1.0×	131 0.6×	80 0.4×	210 1.3×	41	1.1k
Olga Portolés Spain	15	230 0.7×	192 0.7×	110 0.5×	109 0.5×	125 0.8×	30	837
G.R. Abreu Brazil	21	78 0.2×	283 1.0×	159 0.7×	207 1.0×	150 0.9×	75	1.3k
Wasaku Koyama Japan	13	139 0.4×	434 1.5×	111 0.5×	78 0.4×	256 1.6×	26	1.1k
Kerstin Rohde Germany	12	119 0.4×	256 0.9×	93 0.4×	70 0.3×	202 1.2×	21	612
Tsuyoshi Okura Japan	13	39 0.1×	173 0.6×	87 0.4×	53 0.3×	150 0.9×	37	594
Stacey Reading New Zealand	10	92 0.3×	170 0.6×	19 0.1×	72 0.3×	171 1.1×	31	658
Mark K. Nøhr Denmark	10	195 0.6×	522 1.8×	101 0.4×	34 0.2×	595 3.7×	14	1.3k
S. John Weisnagel Canada	19	157 0.5×	469 1.6×	279 1.2×	268 1.3×	215 1.3×	38	1.3k

Countries citing papers authored by Carolina Ortega‐Azorín

Since Specialization

Citations

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

Fields of papers citing papers by Carolina Ortega‐Azorín

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carolina Ortega‐Azorín. 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 Carolina Ortega‐Azorín. The network helps show where Carolina Ortega‐Azorín may publish in the future.

Co-authorship network of co-authors of Carolina Ortega‐Azorín

This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Ortega‐Azorín. A scholar is included among the top collaborators of Carolina Ortega‐Azorín 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 Carolina Ortega‐Azorín. Carolina Ortega‐Azorín 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

Lassale, Camille, Olga Castañer, Ramón Estruch, et al.. (2025). Adherence to a Mediterranean diet and leisure-time physical activity are associated with reduced initiation of antidepressant, anxiolytic, antipsychotic and antiseizure drug use in older adults: a cohort study. Age and Ageing. 54(4).

Sorlí, José V., Ignacio Manuel Gimenez-Alba, Rebeca Fernández-Carrión, et al.. (2025). From Liking to Following: The Role of Food Preferences, Taste Perception, and Lifestyle Factors in Adherence to the Mediterranean Diet Among Young Individuals. Nutrients. 17(3). 600–600. 1 indexed citations

Sorlí, José V., Rebeca Fernández-Carrión, Eva M. Asensio, et al.. (2024). Depression and Accelerated Aging: The Eveningness Chronotype and Low Adherence to the Mediterranean Diet Are Associated with Depressive Symptoms in Older Subjects. Nutrients. 17(1). 104–104. 2 indexed citations

Barragán, Rocío, Rebeca Fernández-Carrión, Eva M. Asensio, et al.. (2023). Timing of Meals and Sleep in the Mediterranean Population: The Effect of Taste, Genetics, Environmental Determinants, and Interactions on Obesity Phenotypes. Nutrients. 15(3). 708–708. 7 indexed citations

Domínguez‐López, Inés, Anna Tresserra‐Rimbau, Miguel Ángel Martínez‐González, et al.. (2021). Urinary Tartaric Acid, a Biomarker of Wine Intake, Correlates with Lower Total and LDL Cholesterol. Nutrients. 13(8). 2883–2883. 15 indexed citations

Portolés, Tania, Francisco J. López, Juan V. Sancho, et al.. (2020). Ultra-Performance Liquid Chromatography-Ion Mobility Separation-Quadruple Time-of-Flight MS (UHPLC-IMS-QTOF MS) Metabolomics for Short-Term Biomarker Discovery of Orange Intake: A Randomized, Controlled Crossover Study. Nutrients. 12(7). 1916–1916. 16 indexed citations

Barragán, Rocío, Juan Llopis, Olga Portolés, et al.. (2020). Influence of Demographic and Lifestyle Variables on Plasma Magnesium Concentrations and Their Associations with Cardiovascular Risk Factors in a Mediterranean Population. Nutrients. 12(4). 1018–1018. 14 indexed citations

Sorlí, José V., Rocío Barragán, Óscar Coltell, et al.. (2020). Chronological Age Interacts with the Circadian Melatonin Receptor 1B Gene Variation, Determining Fasting Glucose Concentrations in Mediterranean Populations. Additional Analyses on Type-2 Diabetes Risk. Nutrients. 12(11). 3323–3323. 6 indexed citations

Coltell, Óscar, José V. Sorlí, Eva M. Asensio, et al.. (2019). Association between taste perception and adiposity in overweight or obese older subjects with metabolic syndrome and identification of novel taste-related genes. American Journal of Clinical Nutrition. 109(6). 1709–1723. 36 indexed citations

10.

Corella, Dolores, Eva M. Asensio, Óscar Coltell, et al.. (2016). CLOCK gene variation is associated with incidence of type-2 diabetes and cardiovascular diseases in type-2 diabetic subjects: dietary modulation in the PREDIMED randomized trial. Cardiovascular Diabetology. 15(1). 4–4. 113 indexed citations

11.

Gesteiro, Eva, Francisco J. Sánchez‐Muniz, Carolina Ortega‐Azorín, et al.. (2016). Maternal and neonatal FTO rs9939609 polymorphism affect insulin sensitivity markers and lipoprotein profile at birth in appropriate-for-gestational-age term neonates. Journal of Physiology and Biochemistry. 72(2). 169–181. 13 indexed citations

12.

Sorlí, José V., Daniela Godoy, Carolina Ortega‐Azorín, et al.. (2015). PP.42.09. Journal of Hypertension. 33(Supplement 1). e511–e511.

13.

Zanón‐Moreno, Vicente, Carolina Ortega‐Azorín, Eva M. Asensio, et al.. (2014). Genetic polymorphism related to exfoliative glaucoma is also associated with primary open‐angle glaucoma risk. Clinical and Experimental Ophthalmology. 43(1). 26–30. 9 indexed citations

14.

Ortega‐Azorín, Carolina, José V. Sorlí, Eva M. Asensio, et al.. (2012). Associations of the FTO rs9939609 and the MC4R rs17782313 polymorphisms with type 2 diabetes are modulated by diet, being higher when adherence to the Mediterranean diet pattern is low. Cardiovascular Diabetology. 11(1). 137–137. 113 indexed citations

15.

Corella, Dolores, Carolina Ortega‐Azorín, José V. Sorlí, et al.. (2012). Statistical and Biological Gene-Lifestyle Interactions of MC4R and FTO with Diet and Physical Activity on Obesity: New Effects on Alcohol Consumption. PLoS ONE. 7(12). e52344–e52344. 57 indexed citations

16.

Godoy, Daniela, José V. Sorlí, Óscar Coltell, et al.. (2012). 122 MODULATION BY THE MEDITERRANEAN DIET OF THE ASSOCIATIONS BETWEEN RAPGEF1 AND NEGR1 POLYMORPHISMS AND BLOOD PRESSURE IN A HIGH CARDIOVASCULAR RISK MEDITERRANEAN POPULATION. Journal of Hypertension. 30(Supplement 1). e37–e38.

17.

Corella, Dolores, Paula Carrasco, José V. Sorlí, et al.. (2010). Education modulates the association of the FTO rs9939609 polymorphism with body mass index and obesity risk in the Mediterranean population. Nutrition Metabolism and Cardiovascular Diseases. 22(8). 651–658. 31 indexed citations

18.

Corella, Dolores, María Arregui, Óscar Coltell, et al.. (2010). Association of the LCT‐13910C>T Polymorphism With Obesity and Its Modulation by Dairy Products in a Mediterranean Population. Obesity. 19(8). 1707–1714. 51 indexed citations

19.

Corella, Dolores, Paula Carrasco, Pilar Amiano, et al.. (2010). Common cholesteryl ester transfer protein gene variation related to high-density lipoprotein cholesterol is not associated with decreased coronary heart disease risk after a 10-year follow-up in a Mediterranean cohort: Modulation by alcohol consumption. Atherosclerosis. 211(2). 531–538. 20 indexed citations

20.

Corella, Dolores, Paula Carrasco, Montserrat Fitó, et al.. (2010). Gene-environment interactions of CETP gene variation in a high cardiovascular risk Mediterranean population. Journal of Lipid Research. 51(9). 2798–2807. 20 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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