Núria Cabello

563 total citations
7 papers, 438 citations indexed

About

Núria Cabello is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Núria Cabello has authored 7 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Núria Cabello's work include Receptor Mechanisms and Signaling (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Núria Cabello is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Núria Cabello collaborates with scholars based in Spain, United States and United Kingdom. Núria Cabello's co-authors include Francisco Ciruela, Rafael Franco, Sergi Ferré, Carme Lluı́s, Daniela C. G. Bertarelli, Masahiko Watanabe, Rafael Luján, Jorge Gandía, Enric I. Canela and Josefa Mallol and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Neurochemistry.

In The Last Decade

Núria Cabello

7 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Núria Cabello Spain 6 342 282 139 28 23 7 438
Marisol Escriche Spain 8 316 0.9× 224 0.8× 130 0.9× 8 0.3× 12 0.5× 11 421
Carla Ferrada Spain 9 363 1.1× 255 0.9× 49 0.4× 6 0.2× 24 1.0× 9 506
James Corbitt United States 7 262 0.8× 163 0.6× 100 0.7× 42 1.5× 6 0.3× 7 398
Michael Kirmiz United States 7 348 1.0× 200 0.7× 22 0.2× 69 2.5× 26 1.1× 9 509
Steven C. Prinster United States 6 388 1.1× 281 1.0× 30 0.2× 24 0.9× 28 1.2× 7 528
Abduqodir Toychiev United States 13 355 1.0× 229 0.8× 43 0.3× 7 0.3× 21 0.9× 21 456
Kamila Skieterska Belgium 9 235 0.7× 153 0.5× 26 0.2× 6 0.2× 10 0.4× 13 311
Hiroshi Tokumaru Japan 9 309 0.9× 169 0.6× 39 0.3× 9 0.3× 4 0.2× 17 423
Jun Kitano Japan 8 371 1.1× 366 1.3× 16 0.1× 27 1.0× 5 0.2× 8 512
Anke Vermehren‐Schmaedick United States 12 109 0.3× 110 0.4× 41 0.3× 13 0.5× 4 0.2× 18 401

Countries citing papers authored by Núria Cabello

Since Specialization
Citations

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

Fields of papers citing papers by Núria Cabello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Núria Cabello

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

All Works

7 of 7 papers shown
1.
Molina, Cristina E., Anna Llach, Rob F. Wiegerinck, et al.. (2015). Prevention of adenosine A2A receptor activation diminishes beat-to-beat alternation in human atrial myocytes. Basic Research in Cardiology. 111(1). 5–5. 28 indexed citations
2.
Cabello, Núria, Anna Llach, Raúl Benítez, et al.. (2013). Low Density Lipoproteins Promote Unstable Calcium Handling Accompanied by Reduced SERCA2 and Connexin-40 Expression in Cardiomyocytes. PLoS ONE. 8(3). e58128–e58128. 18 indexed citations
3.
Llach, Anna, José Rivera, Núria Cabello, et al.. (2013). Abnormal calcium handling in the progeric mouse model Zmpste24-/- is linked to reduced sarcoplasmic reticulum calcium loading and depression of SERCA2 and calsequestrin-2 expression. European Heart Journal. 34(suppl 1). 35–35. 1 indexed citations
4.
Cabello, Núria, Jorge Gandía, Daniela C. G. Bertarelli, et al.. (2009). Metabotropic glutamate type 5, dopamine D2 and adenosine A2a receptors form higher‐order oligomers in living cells. Journal of Neurochemistry. 109(5). 1497–1507. 205 indexed citations
5.
Cabello, Núria, Rosaria Remelli, Josefa Mallol, et al.. (2007). Actin-binding Protein α-Actinin-1 Interacts with the Metabotropic Glutamate Receptor Type 5b and Modulates the Cell Surface Expression and Function of the Receptor. Journal of Biological Chemistry. 282(16). 12143–12153. 33 indexed citations
6.
Ciruela, Francisco, Javier Burgueño, Núria Cabello, et al.. (2005). Heptaspanning Membrane Receptors and Cytoskeletal/Scaffolding Proteins: Focus on Adenosine, Dopamine, and Metabotropic Glutamate Receptor Function. Journal of Molecular Neuroscience. 26(2-3). 277–292. 23 indexed citations
7.
Canals, Meritxell, Javier Burgueño, Daniel Marcellino, et al.. (2003). Homodimerization of adenosine A2A receptors: qualitative and quantitative assessment by fluorescence and bioluminescence energy transfer. Journal of Neurochemistry. 88(3). 726–734. 130 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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