Paola Illesca

1.0k total citations
20 papers, 886 citations indexed

About

Paola Illesca is a scholar working on Nutrition and Dietetics, Epidemiology and Biochemistry. According to data from OpenAlex, Paola Illesca has authored 20 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nutrition and Dietetics, 9 papers in Epidemiology and 8 papers in Biochemistry. Recurrent topics in Paola Illesca's work include Fatty Acid Research and Health (11 papers), Liver Disease Diagnosis and Treatment (7 papers) and Adipose Tissue and Metabolism (7 papers). Paola Illesca is often cited by papers focused on Fatty Acid Research and Health (11 papers), Liver Disease Diagnosis and Treatment (7 papers) and Adipose Tissue and Metabolism (7 papers). Paola Illesca collaborates with scholars based in Argentina, Chile and United Kingdom. Paola Illesca's co-authors include Alejandra Espinosa, Luis A. Videla, Rodrigo Valenzuela, Francisca Echeverría, Macarena Ortíz, Miguel Ángel Rincón‐Cervera, Sandra Soto-Alarcón, María Catalina Hernández‐Rodas, Alfonso Valenzuela and Daniel Gonzalez‐Mañán and has published in prestigious journals such as Molecules, Biomedicine & Pharmacotherapy and Molecular Nutrition & Food Research.

In The Last Decade

Paola Illesca

20 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paola Illesca Argentina	13	310	277	260	213	182	20	886
Macarena Ortíz Chile	16	385 1.2×	323 1.2×	344 1.3×	309 1.5×	214 1.2×	20	1.2k
Pei‐Min Chao Taiwan	21	168 0.5×	282 1.0×	328 1.3×	244 1.1×	164 0.9×	44	1.0k
Daniel Gonzalez‐Mañán Chile	13	319 1.0×	207 0.7×	212 0.8×	236 1.1×	166 0.9×	18	732
Su‐Kyung Shin South Korea	15	293 0.9×	351 1.3×	356 1.4×	108 0.5×	230 1.3×	38	1.2k
Khanyisani Ziqubu South Africa	21	250 0.8×	313 1.1×	352 1.4×	97 0.5×	198 1.1×	40	1.2k
Haruya Takahashi Japan	19	182 0.6×	317 1.1×	411 1.6×	134 0.6×	92 0.5×	51	854
Philippe St‐Pierre Canada	18	193 0.6×	423 1.5×	509 2.0×	175 0.8×	140 0.8×	32	1.2k
Ana Maria Lottenberg Brazil	18	200 0.6×	230 0.8×	249 1.0×	306 1.4×	287 1.6×	40	1.1k
Sandra Soto-Alarcón Chile	8	214 0.7×	189 0.7×	151 0.6×	126 0.6×	121 0.7×	12	575
Lourdes M. Varela Spain	18	144 0.5×	174 0.6×	264 1.0×	214 1.0×	118 0.6×	27	940

Countries citing papers authored by Paola Illesca

Since Specialization

Citations

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

Fields of papers citing papers by Paola Illesca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paola Illesca. 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 Paola Illesca. The network helps show where Paola Illesca may publish in the future.

Co-authorship network of co-authors of Paola Illesca

This figure shows the co-authorship network connecting the top 25 collaborators of Paola Illesca. A scholar is included among the top collaborators of Paola Illesca 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 Paola Illesca. Paola Illesca 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

Illesca, Paola, et al.. (2025). Impact of n-3 polyunsaturate fatty acids supplementation on visual health throughout the life cycle: A systematic review. Prostaglandins Leukotrienes and Essential Fatty Acids. 206. 102686–102686. 3 indexed citations

Zúñiga‐Hernández, Jessica, Alejandra Espinosa, Alexies Dagnino‐Subiabre, et al.. (2024). Modulation of Δ5- and Δ6-desaturases in the brain-liver axis. Nutrition. 131. 112629–112629. 5 indexed citations

Illesca, Paola, et al.. (2024). Salvia hispanica L. (chia) seed improves redox state and reverts extracellular matrix collagen deposition in skeletal muscle of sucrose‐rich diet‐fed rats. BioFactors. 51(1). e2087–e2087. 5 indexed citations

Ortíz, Macarena, Sandra Soto-Alarcón, Alejandra Espinosa, et al.. (2020). Suppression of high-fat diet-induced obesity-associated liver mitochondrial dysfunction by docosahexaenoic acid and hydroxytyrosol co-administration. Digestive and Liver Disease. 52(8). 895–904. 105 indexed citations

Illesca, Paola, Rodrigo Valenzuela, Alejandra Espinosa, et al.. (2020). Protective Effects of Eicosapentaenoic Acid Plus Hydroxytyrosol Supplementation Against White Adipose Tissue Abnormalities in Mice Fed a High-Fat Diet. Molecules. 25(19). 4433–4433. 25 indexed citations

Illesca, Paola, Rodrigo Valenzuela, Alejandra Espinosa, et al.. (2020). The metabolic dysfunction of white adipose tissue induced in mice by a high-fat diet is abrogated by co-administration of docosahexaenoic acid and hydroxytyrosol. Food & Function. 11(10). 9086–9102. 38 indexed citations

Soto-Alarcón, Sandra, Macarena Ortíz, Francisca Echeverría, et al.. (2019). Docosahexaenoic acid and hydroxytyrosol co‐administration fully prevents liver steatosis and related parameters in mice subjected to high‐fat diet: A molecular approach. BioFactors. 45(6). 930–943. 48 indexed citations

Echeverría, Francisca, Rodrigo Valenzuela, Andrés Bustamante, et al.. (2019). High-fat diet induces mouse liver steatosis with a concomitant decline in energy metabolism: attenuation by eicosapentaenoic acid (EPA) or hydroxytyrosol (HT) supplementation and the additive effects upon EPA and HT co-administration. Food & Function. 10(9). 6170–6183. 71 indexed citations

Illesca, Paola, Rodrigo Valenzuela, Alejandra Espinosa, et al.. (2018). Hydroxytyrosol supplementation ameliorates the metabolic disturbances in white adipose tissue from mice fed a high-fat diet through recovery of transcription factors Nrf2, SREBP-1c, PPAR-γ and NF-κB. Biomedicine & Pharmacotherapy. 109. 2472–2481. 117 indexed citations

10.

Valenzuela, Rodrigo, Francisca Echeverría, Macarena Ortíz, et al.. (2017). Hydroxytyrosol prevents reduction in liver activity of Δ-5 and Δ-6 desaturases, oxidative stress, and depletion in long chain polyunsaturated fatty acid content in different tissues of high-fat diet fed mice. Lipids in Health and Disease. 16(1). 64–64. 88 indexed citations

11.

Illesca, Paola, Silvina Mónica Álvarez, María del Rosario Ferreira, et al.. (2017). Dietary soy protein improves adipose tissue dysfunction by modulating parameters related with oxidative stress in dyslipidemic insulin-resistant rats. Biomedicine & Pharmacotherapy. 88. 1008–1015. 10 indexed citations

12.

Valenzuela, Rodrigo, Paola Illesca, Francisca Echeverría, et al.. (2017). Molecular adaptations underlying the beneficial effects of hydroxytyrosol in the pathogenic alterations induced by a high-fat diet in mouse liver: PPAR-α and Nrf2 activation, and NF-κB down-regulation. Food & Function. 8(4). 1526–1537. 119 indexed citations

13.

Hernández‐Rodas, María Catalina, Rodrigo Valenzuela, Francisca Echeverría, et al.. (2017). Supplementation with Docosahexaenoic Acid and Extra Virgin Olive Oil Prevents Liver Steatosis Induced by a High‐Fat Diet in Mice through PPAR‐α and Nrf2 Upregulation with Concomitant SREBP‐1c and NF‐kB Downregulation. Molecular Nutrition & Food Research. 61(12). 116 indexed citations

14.

Ferreira, María del Rosario, Silvina Mónica Álvarez, Paola Illesca, María S. Giménez, & Yolanda B. Lombardo. (2016). Dietary Salba (Salvia hispanica L.) ameliorates the adipose tissue dysfunction of dyslipemic insulin-resistant rats through mechanisms involving oxidative stress, inflammatory cytokines and peroxisome proliferator-activated receptor γ. European Journal of Nutrition. 57(1). 83–94. 44 indexed citations

15.

Illesca, Paola, et al.. (2015). TRANS FATTY ACIDS MODIFY NUTRITIONAL PARAMETERS AND TRIACYLGLYCEROL METABOLISM IN RATS: DIFFERENTIAL EFFECTS AT RECOMMENDED AND HIGH-FAT LEVELS.. PubMed. 32(2). 738–48. 2 indexed citations

16.

Chicco, Adriana, et al.. (2015). Effects of post-suckling n-3 polyunsaturated fatty acids: prevention of dyslipidemia and liver steatosis induced in rats by a sucrose-rich diet during pre- and post-natal life. Food & Function. 7(1). 445–454. 8 indexed citations

17.

D’Alessandro, Marı́a Eugenia, et al.. (2015). Time course of adipose tissue dysfunction associated with antioxidant defense, inflammatory cytokines and oxidative stress in dyslipemic insulin resistant rats. Food & Function. 6(4). 1299–1309. 37 indexed citations

18.

Alfaro, Tiago M., Agostinho Carvalho, Paola Illesca, et al.. (2015). Fatty acid composition of soybean/sunflower mix oil, fish oil and butterfat applying the AOCS Ce 1j-07 method with a modified temperature program. Grasas y Aceites. 66(1). e064–e064. 23 indexed citations

19.

Castro, Gabriela Salim de, María F. Andreoli, Paola Illesca, et al.. (2014). Refeeding with conjugated linoleic acid increases serum cholesterol and modifies the fatty acid profile after 48 hours of fasting in rats.. PubMed. 30(6). 1303–12. 2 indexed citations

20.

Andreoli, María F., Paola Illesca, Marcela González, & Claudio Bernal. (2010). Conjugated Linoleic Acid Reduces Hepatic Steatosis and Restores Liver Triacylglycerol Secretion and the Fatty Acid Profile During Protein Repletion in Rats. Lipids. 45(11). 1035–1045. 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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