M. Carmen Ramírez-Tortosa

5.5k total citations · 1 hit paper
106 papers, 4.0k citations indexed

About

M. Carmen Ramírez-Tortosa is a scholar working on Nutrition and Dietetics, Molecular Biology and Biochemistry. According to data from OpenAlex, M. Carmen Ramírez-Tortosa has authored 106 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Nutrition and Dietetics, 27 papers in Molecular Biology and 22 papers in Biochemistry. Recurrent topics in M. Carmen Ramírez-Tortosa's work include Fatty Acid Research and Health (26 papers), Antioxidant Activity and Oxidative Stress (21 papers) and Edible Oils Quality and Analysis (13 papers). M. Carmen Ramírez-Tortosa is often cited by papers focused on Fatty Acid Research and Health (26 papers), Antioxidant Activity and Oxidative Stress (21 papers) and Edible Oils Quality and Analysis (13 papers). M. Carmen Ramírez-Tortosa collaborates with scholars based in Spain, Italy and United States. M. Carmen Ramírez-Tortosa's co-authors include José L. Quiles, César L. Ramírez-Tortosa, Sergio Granados‐Principal, Mario Pulido‐Moran, Ángel Gil, Jorge Moreno‐Fernández, Pedro Sánchez‐Rovira, Maurizio Battino, Concepción M. Aguilera and María Dolores Mesa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

M. Carmen Ramírez-Tortosa

104 papers receiving 3.8k citations

Hit Papers

1 papers align trajectories

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.

Curcumin and Health

2016 422 citations Mario Pulido‐Moran, Jorge Moreno‐Fernández et al. Molecules profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Carmen Ramírez-Tortosa Spain	32	1.1k	786	760	715	622	106	4.0k
Jan Frank Germany	41	1.8k 1.6×	1.1k 1.3×	622 0.8×	1.7k 2.3×	749 1.2×	167	5.8k
B.R. Lokesh India	27	1.2k 1.1×	1.4k 1.8×	324 0.4×	482 0.7×	1.0k 1.7×	86	4.5k
Catalina Alarcón‐de‐la‐Lastra Spain	48	2.5k 2.2×	919 1.2×	793 1.0×	1.1k 1.5×	387 0.6×	146	7.4k
Massimo D’Archivio Italy	29	1.1k 1.0×	637 0.8×	436 0.6×	1.3k 1.9×	193 0.3×	49	3.9k
César L. Ramírez-Tortosa Spain	23	801 0.7×	297 0.4×	488 0.6×	448 0.6×	502 0.8×	52	2.6k
Beatrice Scazzocchio Italy	30	1.1k 0.9×	469 0.6×	366 0.5×	1.0k 1.4×	186 0.3×	60	3.6k
Veerapol Kukongviriyapan Thailand	40	1.5k 1.3×	399 0.5×	219 0.3×	401 0.6×	405 0.7×	147	4.0k
Rosaria Varı́ Italy	28	1.1k 1.0×	588 0.7×	457 0.6×	1.2k 1.7×	121 0.2×	57	3.9k
Hye‐Kyung Na South Korea	43	3.4k 3.1×	405 0.5×	351 0.5×	685 1.0×	358 0.6×	106	5.9k
Isabel Villegas Spain	31	1.4k 1.3×	401 0.5×	183 0.2×	458 0.6×	336 0.5×	50	3.7k

Countries citing papers authored by M. Carmen Ramírez-Tortosa

Since Specialization

Citations

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

Fields of papers citing papers by M. Carmen Ramírez-Tortosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Carmen Ramírez-Tortosa. 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 M. Carmen Ramírez-Tortosa. The network helps show where M. Carmen Ramírez-Tortosa may publish in the future.

Co-authorship network of co-authors of M. Carmen Ramírez-Tortosa

This figure shows the co-authorship network connecting the top 25 collaborators of M. Carmen Ramírez-Tortosa. A scholar is included among the top collaborators of M. Carmen Ramírez-Tortosa 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 M. Carmen Ramírez-Tortosa. M. Carmen Ramírez-Tortosa 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

Pérez-Ramírez, Cristina, et al.. (2023). ABCC1, ABCG2 and FOXP3: Predictive Biomarkers of Toxicity from Methotrexate Treatment in Patients Diagnosed with Moderate-to-Severe Psoriasis. Biomedicines. 11(9). 2567–2567. 2 indexed citations

Ramírez-Tortosa, César L., et al.. (2022). Hypoxia-Inducible Factor-1 Alpha Expression Is Predictive of Pathological Complete Response in Patients with Breast Cancer Receiving Neoadjuvant Chemotherapy. Cancers. 14(21). 5393–5393. 6 indexed citations

Pérez-Ramírez, Cristina, et al.. (2021). Influence of Genetic Polymorphisms on Response to Biologics in Moderate-to-Severe Psoriasis. Journal of Personalized Medicine. 11(4). 293–293. 30 indexed citations

Zarzuelo-Romero, María José, et al.. (2021). Therapeutic Value of Single Nucleotide Polymorphisms on the Efficacy of New Therapies in Patients with Multiple Sclerosis. Journal of Personalized Medicine. 11(5). 335–335. 14 indexed citations

Gómez‐Guzmán, Manuel, Francisco M. Ocaña‐Peinado, María J. Ruedas-Rama, et al.. (2021). DIGITAL TEAMS FOR PURSUING EXCELLENCE IN ONLINE EDUCATION. EDULEARN proceedings. 1. 2929–2937.

Campoy, Cristina, Francisco J. Torres-Espínola, José Antonio García-Santos, et al.. (2020). Long-Chain Polyunsaturated Fatty Acids, Homocysteine at Birth and Fatty Acid Desaturase Gene Cluster Polymorphisms Are Associated with Children’s Processing Speed up to Age 9 Years. Nutrients. 13(1). 131–131. 7 indexed citations

Navarro‐Hortal, María D., César L. Ramírez-Tortosa, Alfonso Varela‐López, et al.. (2019). Heart Histopathology and Mitochondrial Ultrastructure in Aged Rats Fed for 24 Months on Different Unsaturated Fats (Virgin Olive Oil, Sunflower Oil or Fish Oil) and Affected by Different Longevity. Nutrients. 11(10). 2390–2390. 16 indexed citations

Ramírez-Tortosa, César L., Ana I. Sánchez, Cristina Pérez-Ramírez, et al.. (2019). Hydroxytyrosol Supplementation Modifies Plasma Levels of Tissue Inhibitor of Metallopeptidase 1 in Women with Breast Cancer. Antioxidants. 8(9). 393–393. 10 indexed citations

Varela‐López, Alfonso, Julio J. Ochoa, J.M. Llamas Elvira, et al.. (2017). Age-Related Loss in Bone Mineral Density of Rats Fed Lifelong on a Fish Oil-Based Diet Is Avoided by Coenzyme Q10 Addition. Nutrients. 9(2). 176–176. 23 indexed citations

10.

Pulido‐Moran, Mario, Jorge Moreno‐Fernández, César L. Ramírez-Tortosa, & M. Carmen Ramírez-Tortosa. (2016). Curcumin and Health. Molecules. 21(3). 264–264. 422 indexed citations breakdown →

11.

Ramírez-Tortosa, César L., Alfonso Varela‐López, Enrique Roche, et al.. (2015). Sunflower Oil but Not Fish Oil Resembles Positive Effects of Virgin Olive Oil on Aged Pancreas after Life-Long Coenzyme Q Addition. International Journal of Molecular Sciences. 16(10). 23425–23445. 12 indexed citations

12.

Bullón, Pedro, Maurizio Battino, Alfonso Varela‐López, et al.. (2013). Diets Based on Virgin Olive Oil or Fish Oil but Not on Sunflower Oil Prevent Age-Related Alveolar Bone Resorption by Mitochondrial-Related Mechanisms. PLoS ONE. 8(9). e74234–e74234. 46 indexed citations

13.

Vera‐Ramirez, Laura, M. Carmen Ramírez-Tortosa, Pedro Sánchez‐Rovira, et al.. (2012). Impact of Diet on Breast Cancer Risk: A Review of Experimental and Observational Studies. Critical Reviews in Food Science and Nutrition. 53(1). 49–75. 27 indexed citations

14.

Vera‐Ramirez, Laura, Pedro Sánchez‐Rovira, M. Carmen Ramírez-Tortosa, et al.. (2011). Does Chemotherapy-Induced Oxidative Stress Improve the Survival Rates of Breast Cancer Patients?. Antioxidants and Redox Signaling. 15(4). 903–909. 15 indexed citations

15.

Ramírez-Tortosa, M. Carmen, Sergio Granados‐Principal, César L. Ramírez-Tortosa, et al.. (2008). Oxidative stress status in liver mitochondria and lymphocyte DNA damage of atherosclerotic rabbits supplemented with water soluble coenzyme Q₁₀. BioFactors. 32(1-4). 263–273. 20 indexed citations

16.

Aguilera, Concepción M., María Dolores Mesa, M. Carmen Ramírez-Tortosa, José L. Quiles, & Ángel Gil. (2003). Virgin olive and fish oils enhance the hepatic antioxidant defence system in atherosclerotic rabbits. Clinical Nutrition. 22(4). 379–384. 32 indexed citations

17.

Quiles, José L., Jesús R. Huertas, Maurizio Battino, et al.. (2002). The intake of fried virgin olive or sunflower oils differentially induces oxidative stress in rat liver microsomes. British Journal Of Nutrition. 88(1). 57–65. 45 indexed citations

18.

Aguilera, Concepción M., et al.. (2001). Efectos protectores de los YYYácidos grasos monoinsaturados y poliinsaturados sobre el desarrollo de la enfermedad cardiovascular. Nutrición Hospitalaria. 16. 4 indexed citations

19.

Suárez, Antonio, M. Carmen Ramírez-Tortosa, Ángel Gil, & María José Faus. (1999). Addition of vitamin E to long-chain polyunsaturated fatty acid-enriched diets protects neonatal tissue lipids against peroxidation in rats. European Journal of Nutrition. 38(4). 169–176. 17 indexed citations

20.

Quiles, José L., Concepción M. Aguilera, María Dolores Mesa, et al.. (1998). An ethanolic‐aqueous extract of Curcuma longa decreases the susceptibility of liver microsomes and mitochondria to lipid peroxidation in atherosclerotic rabbits. BioFactors. 8(1-2). 51–57. 40 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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