Paula Saavedra-García

793 total citations
18 papers, 531 citations indexed

About

Paula Saavedra-García is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, Paula Saavedra-García has authored 18 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Pharmacology and 5 papers in Cancer Research. Recurrent topics in Paula Saavedra-García's work include Peroxisome Proliferator-Activated Receptors (9 papers), Inflammatory mediators and NSAID effects (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Paula Saavedra-García is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (9 papers), Inflammatory mediators and NSAID effects (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Paula Saavedra-García collaborates with scholars based in United Kingdom, Spain and Thailand. Paula Saavedra-García's co-authors include Josefa Girona, L. Masana, Mercedes Heras, Alba Bosquet, Sandra Guaita‐Esteruelas, Eric W.‐F. Lam, Gemma Aragonès, Joan Borràs, Josep Gumà and Joan-Carles Vallvé and has published in prestigious journals such as PLoS ONE, Oncogene and Molecular Microbiology.

In The Last Decade

Paula Saavedra-García

17 papers receiving 531 citations

Peers

Paula Saavedra-García

EPIDE

PHARM

PHYSI

Ming Lv China

Juhyung Woo United States

Daniel Margerie Germany

Yu Geng China

Xiufeng Yu China

Asta Valančiūtė France

Siyuan Yan China

Yair Romero Mexico

Aninda Basu United States

Twishi Gulati Australia

Ming Lv China

Paula Saavedra-García

369 ×1.0

125 ×0.8

92 ×0.8

EPIDE

51 ×0.8

PHARM

35 ×0.6

PHYSI

Citations per year, relative to Paula Saavedra-García Paula Saavedra-García (= 1×) peers Ming Lv

Countries citing papers authored by Paula Saavedra-García

Since Specialization

Citations

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

Fields of papers citing papers by Paula Saavedra-García

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula Saavedra-García. 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 Paula Saavedra-García. The network helps show where Paula Saavedra-García may publish in the future.

Co-authorship network of co-authors of Paula Saavedra-García

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Saavedra-García. A scholar is included among the top collaborators of Paula Saavedra-García 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 Paula Saavedra-García. Paula Saavedra-García is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Román-Trufero, Mónica, Kevin Blighe, Paula Saavedra-García, et al.. (2025). An ISR-independent role of GCN2 prevents excessive ribosome biogenesis and mRNA translation. Life Science Alliance. 8(5). e202403014–e202403014.

Becker, Lisa M., et al.. (2022). Tumor vessel co-option: The past & the future. Frontiers in Oncology. 12. 965277–965277. 30 indexed citations

Parzych, Katarzyna, Paula Saavedra-García, Gabriel N. Valbuena, et al.. (2019). The coordinated action of VCP/p97 and GCN2 regulates cancer cell metabolism and proteostasis during nutrient limitation. Oncogene. 38(17). 3216–3231. 33 indexed citations

Girona, Josefa, Roser Rosales, Paula Saavedra-García, L. Masana, & Joan-Carles Vallvé. (2019). Palmitate decreases migration and proliferation and increases oxidative stress and inflammation in smooth muscle cells: role of the Nrf2 signaling pathway. American Journal of Physiology-Cell Physiology. 316(6). C888–C897. 18 indexed citations

Saavedra-García, Paula, Francesca Martini, & Holger W. Auner. (2019). Proteasome inhibition in multiple myeloma: lessons for other cancers. American Journal of Physiology-Cell Physiology. 318(3). C451–C462. 21 indexed citations

Yao, Shang J., et al.. (2018). Characterization of FOXO Acetylation. Methods in molecular biology. 1890. 77–90. 4 indexed citations

Bosquet, Alba, Josefa Girona, Sandra Guaita‐Esteruelas, et al.. (2018). FABP4 inhibitor BMS309403 decreases saturated-fatty-acid-induced endoplasmic reticulum stress-associated inflammation in skeletal muscle by reducing p38 MAPK activation. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1863(6). 604–613. 39 indexed citations

Saavedra-García, Paula, Alba Bosquet, Joan Borràs, et al.. (2018). Adipose-derived fatty acid-binding proteins plasma concentrations are increased in breast cancer patients. Atherosclerosis. 275. e155–e155. 1 indexed citations

Saavedra-García, Paula, et al.. (2017). Unravelling the role of fatty acid metabolism in cancer through the FOXO3-FOXM1 axis. Molecular and Cellular Endocrinology. 462(Pt B). 82–92. 24 indexed citations

10.

Saavedra-García, Paula, et al.. (2017). Dataset of the human homologues and orthologues of lipid-metabolic genes identified as DAF-16 targets their roles in lipid and energy metabolism. Data in Brief. 11. 606–610. 2 indexed citations

11.

Guaita‐Esteruelas, Sandra, Paula Saavedra-García, Alba Bosquet, et al.. (2017). Adipose-Derived Fatty Acid-Binding Proteins Plasma Concentrations Are Increased in Breast Cancer Patients. The Oncologist. 22(11). 1309–1315. 32 indexed citations

12.

Bosquet, Alba, Sandra Guaita‐Esteruelas, Paula Saavedra-García, et al.. (2016). Exogenous FABP4 induces endoplasmic reticulum stress in HepG2 liver cells. Atherosclerosis. 249. 191–199. 39 indexed citations

13.

Guaita‐Esteruelas, Sandra, Alba Bosquet, Paula Saavedra-García, et al.. (2016). Exogenous FABP4 increases breast cancer cell proliferation and activates the expression of fatty acid transport proteins. Molecular Carcinogenesis. 56(1). 208–217. 97 indexed citations

14.

Saavedra-García, Paula, Josefa Girona, Alba Bosquet, et al.. (2015). New insights into circulating FABP4: Interaction with cytokeratin 1 on endothelial cell membranes. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1853(11). 2966–2974. 30 indexed citations

15.

Saavedra-García, Paula, Josefa Girona, Gemma Aragonès, et al.. (2014). Interacción de FABP4 con proteínas de membrana de células endoteliales. Clínica e Investigación en Arteriosclerosis. 27(1). 26–33. 1 indexed citations

16.

Girona, Josefa, Roser Rosales, Núria Plana, et al.. (2013). FABP4 Induces Vascular Smooth Muscle Cell Proliferation and Migration through a MAPK-Dependent Pathway. PLoS ONE. 8(11). e81914–e81914. 53 indexed citations

17.

Aragonès, Gemma, Paula Saavedra-García, Mercedes Heras, et al.. (2012). Fatty acid-binding protein 4 impairs the insulin-dependent nitric oxide pathway in vascular endothelial cells. Cardiovascular Diabetology. 11(1). 63 indexed citations

18.

Facey, Paul D., Matthew D. Hitchings, Paula Saavedra-García, et al.. (2009). Streptomyces coelicolor Dps‐like proteins: differential dual roles in response to stress during vegetative growth and in nucleoid condensation during reproductive cell division. Molecular Microbiology. 73(6). 1186–1202. 44 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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