Nicolás Enrique

709 total citations
20 papers, 529 citations indexed

About

Nicolás Enrique is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Nicolás Enrique has authored 20 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Nicolás Enrique's work include Ion channel regulation and function (10 papers), Neuroscience and Neuropharmacology Research (5 papers) and Lipid Membrane Structure and Behavior (4 papers). Nicolás Enrique is often cited by papers focused on Ion channel regulation and function (10 papers), Neuroscience and Neuropharmacology Research (5 papers) and Lipid Membrane Structure and Behavior (4 papers). Nicolás Enrique collaborates with scholars based in Argentina, France and Chile. Nicolás Enrique's co-authors include Verónica Milesi, Pedro Martín, Alejandro Rebolledo, Ravi S. Kane, Henry D. Herce, Angel E. Garcı́a, Carlos González, Karen Castillo, Alan Neely and Willy Carrasquel-Ursulaez and has published in prestigious journals such as Biochemical Journal, Brain Research and Biophysical Journal.

In The Last Decade

Nicolás Enrique

19 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolás Enrique Argentina 10 435 103 102 56 31 20 529
Daniel T. Infield United States 15 459 1.1× 103 1.0× 70 0.7× 15 0.3× 27 0.9× 27 642
Fude Sun China 13 336 0.8× 34 0.3× 25 0.2× 95 1.7× 27 0.9× 30 443
Arne Franzen Germany 10 258 0.6× 96 0.9× 28 0.3× 8 0.1× 17 0.5× 19 331
Kseniya S. Kudryashova Russia 15 495 1.1× 23 0.2× 72 0.7× 27 0.5× 53 1.7× 33 719
Robert J. Broadbridge United Kingdom 11 280 0.6× 43 0.4× 79 0.8× 6 0.1× 33 1.1× 15 511
Terje R. Kolstad Norway 8 195 0.4× 56 0.5× 138 1.4× 8 0.1× 45 1.5× 12 354
Elizabeth J. Furnish United States 11 418 1.0× 40 0.4× 29 0.3× 37 0.7× 27 0.9× 13 528
Renata Kowalczyk New Zealand 14 424 1.0× 109 1.1× 7 0.1× 29 0.5× 74 2.4× 32 611
Pawan K. Shahi United States 13 621 1.4× 95 0.9× 26 0.3× 5 0.1× 25 0.8× 26 803
Giuseppe Martano Italy 13 240 0.6× 51 0.5× 18 0.2× 6 0.1× 32 1.0× 21 527

Countries citing papers authored by Nicolás Enrique

Since Specialization
Citations

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

Fields of papers citing papers by Nicolás Enrique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolás Enrique

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolás Enrique. A scholar is included among the top collaborators of Nicolás Enrique 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 Nicolás Enrique. Nicolás Enrique 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.
Alberca, Lucas N., et al.. (2025). In silico screening to search for selective sodium channel blockers: When size matters. Brain Research. 1856. 149571–149571.
2.
Enrique, Nicolás, et al.. (2024). Direct Inhibition of BK Channels by Cannabidiol, One of the Principal Therapeutic Cannabinoids Derived from Cannabis sativa. Journal of Natural Products. 87(5). 1368–1375. 3 indexed citations
3.
Enrique, Nicolás, Sebastián Scioli Montoto, María Esperanza Ruiz, et al.. (2023). A Combined Ligand- and Structure-Based Virtual Screening To Identify Novel NaV1.2 Blockers: In Vitro Patch Clamp Validation and In Vivo Anticonvulsant Activity. Journal of Chemical Information and Modeling. 63(22). 7083–7096. 5 indexed citations
4.
Enrique, Nicolás, et al.. (2022). Structure-Based Virtual Screening Identifies Novobiocin, Montelukast, and Cinnarizine as TRPV1 Modulators with Anticonvulsant Activity In Vivo. Journal of Chemical Information and Modeling. 62(12). 3008–3022. 12 indexed citations
5.
Ventura, Clara, et al.. (2022). Novel Dimeric hHv1 Model and Structural Bioinformatic Analysis Reveal an ATP-Binding Site Resulting in a Channel Activating Effect. Journal of Chemical Information and Modeling. 62(13). 3200–3212. 3 indexed citations
6.
Sbaraglini, María L., et al.. (2020). Enseñanza de Anatomía e Histología en tiempos de pandemia: adaptaciones para una cursada a distancia. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 6(10). 25–25. 1 indexed citations
7.
Ventura, Clara, Ignácio E. León, Pedro Martín, et al.. (2020). Differential expression of the long and truncated Hv1 isoforms in breast‐cancer cells. Journal of Cellular Physiology. 235(11). 8757–8767. 13 indexed citations
8.
Denis, María Florencia Leal, Sophie D. Lefevre, Nicolás Enrique, et al.. (2019). Regulation of extracellular ATP of human erythrocytes treated with α-hemolysin. Effects of cell volume, morphology, rheology and hemolysis. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1866(5). 896–915. 11 indexed citations
9.
Enrique, Nicolás, et al.. (2018). Searching for New Leads To Treat Epilepsy: Target-Based Virtual Screening for the Discovery of Anticonvulsant Agents. Journal of Chemical Information and Modeling. 58(7). 1331–1342. 13 indexed citations
10.
Herlax, Vanesa, María Florencia Leal Denis, Cora Lilia Alvarez, et al.. (2017). Effects of Erythrocytes Treated with Alpha Hemolysin of E.Coli on Endothelial Cells. Biophysical Journal. 112(3). 524a–524a. 1 indexed citations
11.
Alvarez, Cora Lilia, Gerardo R. Corradi, María Florencia Leal Denis, et al.. (2017). Dynamic regulation of extracellular ATP inEscherichia coli. Biochemical Journal. 474(8). 1395–1416. 15 indexed citations
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13.
Smaldini, Paola, Pedro Martín, Nicolás Enrique, et al.. (2016). The inhibition of voltage-gated H+ channel (HVCN1) induces acidification of leukemic Jurkat T cells promoting cell death by apoptosis. Pflügers Archiv - European Journal of Physiology. 469(2). 251–261. 29 indexed citations
14.
Martín, Pedro, et al.. (2013). Arachidonic acid activation of BKCa (Slo1) channels associated to the β1-subunit in human vascular smooth muscle cells. Pflügers Archiv - European Journal of Physiology. 466(9). 1779–1792. 22 indexed citations
15.
Contreras, Gustavo F., Karen Castillo, Nicolás Enrique, et al.. (2013). A BK (Slo1) channel journey from molecule to physiology. Channels. 7(6). 442–458. 129 indexed citations
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Rebolledo, Alejandro, et al.. (2010). Risperidone Inhibits Contractions Induced by Serotonin and Histamine and Reduces K+ Currents in Smooth Muscle of Human Umbilical Artery. Reproductive Sciences. 17(9). 854–860. 5 indexed citations
20.
Herce, Henry D., Angel E. Garcı́a, Ravi S. Kane, et al.. (2009). Arginine-Rich Peptides Destabilize the Plasma Membrane, Consistent with a Pore Formation Translocation Mechanism of Cell-Penetrating Peptides. Biophysical Journal. 97(7). 1917–1925. 240 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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