Arantxa Tabernero

3.5k total citations
74 papers, 2.8k citations indexed

About

Arantxa Tabernero is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Arantxa Tabernero has authored 74 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 15 papers in Physiology. Recurrent topics in Arantxa Tabernero's work include Connexins and lens biology (31 papers), Neuroscience and Neuropharmacology Research (13 papers) and Heat shock proteins research (10 papers). Arantxa Tabernero is often cited by papers focused on Connexins and lens biology (31 papers), Neuroscience and Neuropharmacology Research (13 papers) and Heat shock proteins research (10 papers). Arantxa Tabernero collaborates with scholars based in Spain, France and United Kingdom. Arantxa Tabernero's co-authors include José M. Medina, José M. Medina, Ana Luisa Velasco, Eva Lavado, Luís I. Sánchez-Abarca, Christian Giaume, Rosa Sánchez‐Alvarez, C. Giaume, Ester Gangoso and Rhona Mirsky and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Hepatology.

In The Last Decade

Arantxa Tabernero

74 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arantxa Tabernero Spain 35 1.8k 763 518 322 230 74 2.8k
Beatriz Pardo Spain 30 1.6k 0.9× 986 1.3× 495 1.0× 222 0.7× 133 0.6× 87 2.9k
Eun Mi Hwang South Korea 28 1.6k 0.9× 879 1.2× 495 1.0× 415 1.3× 155 0.7× 97 2.8k
Ding‐I Yang Taiwan 30 1.4k 0.8× 374 0.5× 697 1.3× 436 1.4× 257 1.1× 65 2.5k
Sumiko Kiryu‐Seo Japan 30 1.3k 0.7× 898 1.2× 516 1.0× 278 0.9× 152 0.7× 64 2.5k
Noriaki Mitsuda Japan 19 1.0k 0.6× 432 0.6× 382 0.7× 222 0.7× 226 1.0× 50 1.8k
Armando P. Signore United States 22 1.2k 0.7× 478 0.6× 446 0.9× 484 1.5× 132 0.6× 25 2.5k
Quanhong Ma China 26 1.2k 0.7× 450 0.6× 586 1.1× 255 0.8× 168 0.7× 95 2.5k
Mara D’Onofrio Italy 25 1.6k 0.9× 859 1.1× 280 0.5× 430 1.3× 447 1.9× 68 2.8k
David Walker United States 20 1.4k 0.8× 564 0.7× 940 1.8× 308 1.0× 175 0.8× 24 2.5k
Santiago Ambrosio Spain 28 1.1k 0.6× 876 1.1× 353 0.7× 271 0.8× 238 1.0× 76 2.6k

Countries citing papers authored by Arantxa Tabernero

Since Specialization
Citations

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

Fields of papers citing papers by Arantxa Tabernero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arantxa Tabernero

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

All Works

20 of 20 papers shown
1.
Borja, Michael, Vanessa Tran, Alejandro A. Granados, et al.. (2025). Single-nucleus RNA sequencing reveals a preclinical model for the most common subtype of glioblastoma. Communications Biology. 8(1). 671–671. 3 indexed citations
2.
Schvartz, Domitille, et al.. (2024). A proteomic approach supports the clinical relevance of TAT-Cx43266-283 in glioblastoma. Translational research. 272. 95–110. 1 indexed citations
3.
Tabernero, Arantxa, et al.. (2022). Src: coordinating metabolism in cancer. Oncogene. 41(45). 4917–4928. 62 indexed citations
4.
Varela-Eirín, Marta, Susana B. Bravo, Carlos Luis Paı́no, et al.. (2019). Connexin43-positive exosomes from osteoarthritic chondrocytes spread senescence and inflammatory mediators to nearby synovial and bone cells. Osteoarthritis and Cartilage. 27. S91–S91. 1 indexed citations
5.
Varela-Eirín, Marta, Carlos Luis Paı́no, Virginia Mato‐Abad, et al.. (2018). Targeting of chondrocyte plasticity via connexin43 modulation attenuates cellular senescence and fosters a pro-regenerative environment in osteoarthritis. Cell Death and Disease. 9(12). 1166–1166. 82 indexed citations
6.
Medina, José M., et al.. (2017). Biotinylated Cell-penetrating Peptides to Study Intracellular Protein-protein Interactions. Journal of Visualized Experiments. 1 indexed citations
7.
Medina, José M., et al.. (2017). Biotinylated Cell-penetrating Peptides to Study Intracellular Protein-protein Interactions. Journal of Visualized Experiments. 2 indexed citations
8.
Velasco, Ana Luisa, et al.. (2016). Aberrant Co-localization of Synaptic Proteins Promoted by Alzheimer’s Disease Amyloid-β Peptides: Protective Effect of Human Serum Albumin. Journal of Alzheimer s Disease. 55(1). 171–182. 19 indexed citations
9.
Tabernero, Arantxa, et al.. (2015). Alpha-fetoprotein (AFP) modulates the effect of serum albumin on brain development by restraining the neurotrophic effect of oleic acid. Brain Research. 1624. 45–58. 10 indexed citations
10.
Castro, Fernando de, et al.. (2010). Oleic acid synthesized in the periventricular zone promotes axonogenesis in the striatum during brain development. Journal of Neurochemistry. 114(6). 1756–1766. 33 indexed citations
11.
Bento‐Abreu, André, et al.. (2008). Megalin is a receptor for albumin in astrocytes and is required for the synthesis of the neurotrophic factor oleic acid. Journal of Neurochemistry. 106(3). 1149–1159. 55 indexed citations
12.
Bento‐Abreu, André, Arantxa Tabernero, & José M. Medina. (2007). Peroxisome proliferator‐activated receptor‐alpha is required for the neurotrophic effect of oleic acid in neurons. Journal of Neurochemistry. 103(3). 871–881. 54 indexed citations
13.
Tabernero, Arantxa, José M. Medina, & Christian Giaume. (2006). Glucose metabolism and proliferation in glia: role of astrocytic gap junctions. Journal of Neurochemistry. 99(4). 1049–1061. 86 indexed citations
14.
Sánchez‐Alvarez, Rosa, Arantxa Tabernero, & José M. Medina. (2005). The increase in gap junctional communication decreases the rate of glucose uptake in C6 glioma cells by releasing hexokinase from mitochondria. Brain Research. 1039(1-2). 189–198. 10 indexed citations
15.
Hasselblatt, Martin, Ralf Dringen, Arantxa Tabernero, et al.. (2003). Effect of endothelin‐1 on astrocytic protein content. Glia. 42(4). 390–397. 18 indexed citations
17.
Tabernero, Arantxa, Cristina Jiménez, Ana Luisa Velasco, Christian Giaume, & José M. Medina. (2001). The enhancement of glucose uptake caused by the collapse of gap junction communication is due to an increase in astrocyte proliferation. Journal of Neurochemistry. 78(4). 890–898. 37 indexed citations
18.
Sánchez-Abarca, Luís I., Arantxa Tabernero, & José M. Medina. (2001). Oligodendrocytes use lactate as a source of energy and as a precursor of lipids. Glia. 36(3). 321–329. 134 indexed citations
19.
Tabernero, Arantxa, et al.. (1998). The K‐ATP channel regulates the effect of Ca2+ on gap junction permeability in cultured astrocytes. FEBS Letters. 427(1). 41–45. 25 indexed citations
20.
Tabernero, Arantxa, et al.. (1996). Astrocyte differentiation in primary culture followed by flow cytometry. Neuroscience Research. 24(2). 131–138. 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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