Tomás Aragón

1.6k total citations
23 papers, 1.2k citations indexed

About

Tomás Aragón is a scholar working on Cell Biology, Molecular Biology and Epidemiology. According to data from OpenAlex, Tomás Aragón has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cell Biology, 16 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Tomás Aragón's work include Endoplasmic Reticulum Stress and Disease (16 papers), Autophagy in Disease and Therapy (6 papers) and RNA regulation and disease (4 papers). Tomás Aragón is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (16 papers), Autophagy in Disease and Therapy (6 papers) and RNA regulation and disease (4 papers). Tomás Aragón collaborates with scholars based in Spain, United States and Italy. Tomás Aragón's co-authors include Peter Walter, Eelco van Anken, David Pincus, Simon E. Vidal, Michael Chevalier, Hana El‐Samad, Alexei Korennykh, Iana M. Serafimova, Jiashun Zheng and Montserrat Arrasate and has published in prestigious journals such as Nature, Gastroenterology and PLoS ONE.

In The Last Decade

Tomás Aragón

23 papers receiving 1.1k citations

Peers

Tomás Aragón

EPIDE

SURGE

BIOTE

Shiuan Wey United States

Marina Shenkman Israel

Ryo Ushioda Japan

Aaron S. Mendez United States

Yusuke Sekine Japan

Choah Kim United States

Binayak Roy United States

Ningguo Gao United States

Katja Gotthardt Germany

Timothy W. Fawcett United States

Shiuan Wey United States

Tomás Aragón

774 ×1.0

616 ×0.9

397 ×1.1

EPIDE

157 ×1.3

SURGE

37 ×0.4

BIOTE

Citations per year, relative to Tomás Aragón Tomás Aragón (= 1×) peers Shiuan Wey

Countries citing papers authored by Tomás Aragón

Since Specialization

Citations

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

Fields of papers citing papers by Tomás Aragón

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomás Aragón

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

Fernández‐Irigoyen, Joaquín, Enrique Santamaría, Irene Marcilla, et al.. (2023). Stabilization of 14-3-3 protein-protein interactions with Fusicoccin-A decreases alpha-synuclein dependent cell-autonomous death in neuronal and mouse models. Neurobiology of Disease. 183. 106166–106166. 6 indexed citations

Valencia, Miguel, María Jesús Nicolás, Antonio Pineda‐Lucena, et al.. (2023). Pharmacological inhibition of the integrated stress response accelerates disease progression in an amyotrophic lateral sclerosis mouse model. British Journal of Pharmacology. 181(3). 495–508. 12 indexed citations

Hochstoeger, Tobias, et al.. (2022). Live imaging of the co-translational recruitment of XBP1 mRNA to the ER and its processing by diffuse, non-polarized IRE1α. eLife. 11. 10 indexed citations

Arrasate, Montserrat, et al.. (2022). The Role and Therapeutic Potential of the Integrated Stress Response in Amyotrophic Lateral Sclerosis. International Journal of Molecular Sciences. 23(14). 7823–7823. 13 indexed citations

Toledo, Estefanía, et al.. (2020). Fine tuning of the unfolded protein response by ISRIB improves neuronal survival in a model of amyotrophic lateral sclerosis. Cell Death and Disease. 11(5). 397–397. 65 indexed citations

Nistal‐Villán, Estanislao, Josepmaria Argemí, Marianna Di Scala, et al.. (2020). Linking the Expression of Therapeutic Genes to Unfolded Protein Response: A New Option for Anti-Hepatitis B Virus Gene Therapy. Human Gene Therapy. 32(7-8). 341–348. 1 indexed citations

Lasa, Marta, Enrique Santamaría, Joaquín Fernández‐Irigoyen, et al.. (2020). N-terminal acetylation mutants affect alpha-synuclein stability, protein levels and neuronal toxicity. Neurobiology of Disease. 137. 104781–104781. 37 indexed citations

Lasa, Marta, et al.. (2020). Maturation of NAA20 Aminoterminal End Is Essential to Assemble NatB N-Terminal Acetyltransferase Complex. Journal of Molecular Biology. 432(22). 5889–5901. 3 indexed citations

Olagüe, Cristina, Lester Suárez-Amarán, África Vales, et al.. (2020). TNF-alpha inhibition ameliorates HDV-induced liver damage in a mouse model of acute severe infection. JHEP Reports. 2(3). 100098–100098. 16 indexed citations

10.

Deodati, Annalisa, Josepmaria Argemí, Daniela Germani, et al.. (2018). The exposure to uteroplacental insufficiency is associated with activation of unfolded protein response in postnatal life. PLoS ONE. 13(6). e0198490–e0198490. 15 indexed citations

11.

Cohen, Nir, Michal Breker, Anush Bakunts, et al.. (2017). Iron affects Ire1 clustering propensity and the amplitude of endoplasmic reticulum stress signaling. Journal of Cell Science. 130(19). 3222–3233. 35 indexed citations

12.

Argemí, Josepmaria, Theresia R. Kress, Cristina Bértolo, et al.. (2017). X-box Binding Protein 1 Regulates Unfolded Protein, Acute-Phase, and DNA Damage Responses During Regeneration of Mouse Liver. Gastroenterology. 152(5). 1203–1216.e15. 41 indexed citations

13.

Aragón, Tomás & Eelco van Anken. (2017). The Ire1 Twist that Links Proteostatic with Lipostatic Control of the Endoplasmic Reticulum. Trends in Cell Biology. 27(10). 699–700. 1 indexed citations

14.

Xipell, Enric, Tomás Aragón, Naiara Martínez-Vélez, et al.. (2016). Endoplasmic reticulum stress-inducing drugs sensitize glioma cells to temozolomide through downregulation of MGMT, MPG, and Rad51. Neuro-Oncology. 18(8). 1109–1119. 43 indexed citations

15.

Anken, Eelco van, David Pincus, Scott M. Coyle, et al.. (2014). Specificity in endoplasmic reticulum-stress signaling in yeast entails a step-wise engagement of HAC1 mRNA to clusters of the stress sensor Ire1. eLife. 3. e05031–e05031. 32 indexed citations

16.

Castaño, David, Eduardo Larequi, Alma M. Astudillo, et al.. (2013). Cardiotrophin-1 eliminates hepatic steatosis in obese mice by mechanisms involving AMPK activation. Journal of Hepatology. 60(5). 1017–1025. 52 indexed citations

17.

Zamarbide, Marta, Eva Martínez‐Pinilla, Ana Ricobaraza, et al.. (2013). Phenyl Acyl Acids Attenuate the Unfolded Protein Response in Tunicamycin-Treated Neuroblastoma Cells. PLoS ONE. 8(8). e71082–e71082. 11 indexed citations

18.

Unzu, Carmen, Ana Sampedro, Itsaso Mauleón, et al.. (2013). Helper-dependent adenoviral liver gene therapy protects against induced attacks and corrects protein folding stress in acute intermittent porphyria mice. Human Molecular Genetics. 22(14). 2929–2940. 18 indexed citations

19.

Pincus, David, Michael Chevalier, Tomás Aragón, et al.. (2010). BiP Binding to the ER-Stress Sensor Ire1 Tunes the Homeostatic Behavior of the Unfolded Protein Response. PLoS Biology. 8(7). e1000415–e1000415. 339 indexed citations

20.

Aragón, Tomás, Eelco van Anken, David Pincus, et al.. (2008). Messenger RNA targeting to endoplasmic reticulum stress signalling sites. Nature. 457(7230). 736–740. 268 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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