Javier Cuevas

2.4k total citations
57 papers, 1.9k citations indexed

About

Javier Cuevas is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Javier Cuevas has authored 57 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 21 papers in Cellular and Molecular Neuroscience and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Javier Cuevas's work include Pharmacological Receptor Mechanisms and Effects (21 papers), Ion channel regulation and function (18 papers) and Receptor Mechanisms and Signaling (18 papers). Javier Cuevas is often cited by papers focused on Pharmacological Receptor Mechanisms and Effects (21 papers), Ion channel regulation and function (18 papers) and Receptor Mechanisms and Signaling (18 papers). Javier Cuevas collaborates with scholars based in United States, Spain and Australia. Javier Cuevas's co-authors include Hongling Zhang, Christopher Katnik, Keith R. Pennypacker, David J. Adams, Adam A. Behensky, Craig T. Ajmo, Aaron A. Hall, Emily G. Severance, Darwin K. Berg and Adelheid Roth and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.

In The Last Decade

Javier Cuevas

55 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Cuevas United States 27 1.5k 678 205 193 144 57 1.9k
Juan A. Parga Spain 17 682 0.5× 463 0.7× 226 1.1× 94 0.5× 241 1.7× 29 1.4k
Leo Veenman Israel 25 1.2k 0.8× 571 0.8× 57 0.3× 54 0.3× 281 2.0× 45 2.1k
Timothy J. Geddes United States 22 570 0.4× 551 0.8× 67 0.3× 198 1.0× 236 1.6× 46 1.7k
Qiongman Kong United States 20 809 0.5× 535 0.8× 82 0.4× 64 0.3× 263 1.8× 25 1.9k
Jorge Gonçalves Portugal 22 758 0.5× 377 0.6× 96 0.5× 103 0.5× 134 0.9× 65 1.4k
Alba Di Pardo Italy 27 1.1k 0.7× 653 1.0× 132 0.6× 62 0.3× 239 1.7× 67 1.9k
Karen A. Hartnett United States 16 837 0.6× 667 1.0× 190 0.9× 49 0.3× 135 0.9× 20 1.6k
Timo T. Myöhänen Finland 23 729 0.5× 611 0.9× 81 0.4× 62 0.3× 57 0.4× 56 1.7k
Marta Tajes Spain 25 585 0.4× 288 0.4× 150 0.7× 76 0.4× 198 1.4× 45 1.7k
Shane E. Kruse United States 15 1.3k 0.8× 260 0.4× 76 0.4× 74 0.4× 108 0.8× 16 1.8k

Countries citing papers authored by Javier Cuevas

Since Specialization
Citations

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

Fields of papers citing papers by Javier Cuevas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Cuevas

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Cuevas. A scholar is included among the top collaborators of Javier Cuevas 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 Javier Cuevas. Javier Cuevas 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
2.
Alperi, Alberto, Javier Cuevas, Raquel Del Valle, et al.. (2023). TAVI autoexpandible con superposición de senos coronarios frente a la técnica tradicional: alteraciones en el ECG y eventos cardiovasculares al año. Revista Española de Cardiología. 77(1). 29–38. 2 indexed citations
3.
Alperi, Alberto, Daniel Hernández‐Vaquero, Javier Cuevas, et al.. (2023). Self-expanding TAVI using the cusp overlap technique versus the traditional technique: electrocardiogram changes and 1-year cardiovascular outcomes. Revista Española de Cardiología (English Edition). 77(1). 29–38.
4.
Cuevas, Javier, et al.. (2023). Small Bowel Cavernous Hemangioma as an uncommon cause of iron-deficiency anemia. Revista Española de Enfermedades Digestivas. 115(11). 672–673. 1 indexed citations
5.
Cuevas, Javier, et al.. (2022). Slow Coronary Blood Flow: Pathogenesis and Clinical Implications. European Cardiology Review. 17. e08–e08. 23 indexed citations
6.
Lorca, Rebeca, Andrés Castaño‐García, Javier Cuevas, et al.. (2021). Evaluation of cardiovascular events in patients with hepatocellular carcinoma treated with sorafenib in the clinical practice. The CARDIO‐SOR study. Liver International. 41(9). 2200–2211. 16 indexed citations
7.
Martı́n, Marı́a, et al.. (2021). Transcatheter Aortic Valve Implantation and Subclinical and Clinical Leaflet Thrombosis: Multimodality Imaging for Diagnosis and Risk Stratification. European Cardiology Review. 16. e35–e35. 9 indexed citations
8.
Cuevas, Javier, et al.. (2020). Sigma‐1 receptor activation‐induced glycolytic ATP production and endothelial barrier enhancement. Microcirculation. 27(6). e12620–e12620. 20 indexed citations
9.
Katnik, Christopher, et al.. (2017). Modulation of mesenteric collecting lymphatic contractions by σ1-receptor activation and nitric oxide production. American Journal of Physiology-Heart and Circulatory Physiology. 313(4). H839–H853. 15 indexed citations
10.
Katnik, Christopher, et al.. (2016). Activation of σ1 and σ2 receptors by afobazole increases glial cell survival and prevents glial cell activation and nitrosative stress after ischemic stroke. Journal of Neurochemistry. 139(3). 497–509. 18 indexed citations
11.
Katnik, Christopher, et al.. (2014). σ-1 Receptor Inhibition of ASIC1a Channels is Dependent on a Pertussis Toxin-Sensitive G-Protein and an AKAP150/Calcineurin Complex. Neurochemical Research. 40(10). 2055–2067. 11 indexed citations
12.
Panguluri, Siva K., et al.. (2013). MicroRNA-301a Mediated Regulation of Kv4.2 in Diabetes: Identification of Key Modulators. PLoS ONE. 8(4). e60545–e60545. 46 indexed citations
13.
Cuevas, Javier, Adam A. Behensky, Wei Deng, & Christopher Katnik. (2011). Afobazole Modulates Neuronal Response to Ischemia and Acidosis via Activation of σ-1 Receptors. Journal of Pharmacology and Experimental Therapeutics. 339(1). 152–160. 29 indexed citations
15.
Hall, Aaron A., et al.. (2008). Sigma receptors suppress multiple aspects of microglial activation. Glia. 57(7). 744–754. 101 indexed citations
16.
Katnik, Christopher, et al.. (2008). σ-1 Receptor Modulation of Acid-Sensing Ion Channel a (ASIC1a) and ASIC1a-Induced Ca2+ Influx in Rat Cortical Neurons. Journal of Pharmacology and Experimental Therapeutics. 327(2). 491–502. 80 indexed citations
17.
Song, Shijie, et al.. (2007). Comparison of Neuron-Like Cells Derived from Bone Marrow Stem Cells to Those Differentiated from Adult Brain Neural Stem Cells. Stem Cells and Development. 16(5). 747–756. 41 indexed citations
18.
Severance, Emily G., Hongling Zhang, Yolmari Cruz, et al.. (2004). The α7 Nicotinic Acetylcholine Receptor Subunit Exists in Two Isoforms that Contribute to Functional Ligand-Gated Ion Channels. Molecular Pharmacology. 66(3). 420–429. 37 indexed citations
19.
Cuevas, Javier, Adelheid Roth, & Darwin K. Berg. (2000). Two distinct classes of functional α7‐containing nicotinic receptor on rat superior cervical ganglion neurons. The Journal of Physiology. 525(3). 735–746. 72 indexed citations
20.
Oliver, José Luis Tejera, Ramón Román-Roldán, Javier Cuevas, & Pedro Bernaola‐Galván. (1999). SEGMENT: identifying compositional domains in DNA sequences. Bioinformatics. 15(12). 974–979. 46 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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