Emilio J. Galván

1.1k total citations
51 papers, 853 citations indexed

About

Emilio J. Galván is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Emilio J. Galván has authored 51 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cellular and Molecular Neuroscience, 22 papers in Cognitive Neuroscience and 20 papers in Molecular Biology. Recurrent topics in Emilio J. Galván's work include Neuroscience and Neuropharmacology Research (39 papers), Memory and Neural Mechanisms (17 papers) and Neural dynamics and brain function (10 papers). Emilio J. Galván is often cited by papers focused on Neuroscience and Neuropharmacology Research (39 papers), Memory and Neural Mechanisms (17 papers) and Neural dynamics and brain function (10 papers). Emilio J. Galván collaborates with scholars based in Mexico, United States and Spain. Emilio J. Galván's co-authors include Germán Barrionuevo, Eduardo Calixto, Julieta Garduño, Washington Buño, Marta Sitges, Vladimir Nekrassov, J. Patrick Card, Silvia L. Cruz, David Fernández de Sevilla and Stephen D. Meriney and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and The Journal of Physiology.

In The Last Decade

Emilio J. Galván

50 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emilio J. Galván Mexico 17 524 359 234 121 115 51 853
Fatemeh Khakpai Iran 17 453 0.9× 244 0.7× 297 1.3× 114 0.9× 125 1.1× 71 926
Holger Rosenbrock Germany 23 512 1.0× 525 1.5× 206 0.9× 97 0.8× 184 1.6× 62 1.2k
Brian C. Shonesy United States 17 564 1.1× 296 0.8× 210 0.9× 79 0.7× 182 1.6× 20 1.0k
Jean‐Marie Billard France 18 477 0.9× 367 1.0× 189 0.8× 135 1.1× 240 2.1× 22 927
Yasushi Yabuki Japan 23 475 0.9× 703 2.0× 125 0.5× 186 1.5× 201 1.7× 59 1.4k
Mariano M. Boccia Argentina 21 608 1.2× 390 1.1× 611 2.6× 167 1.4× 130 1.1× 46 1.3k
Feng Yi United States 15 844 1.6× 611 1.7× 193 0.8× 78 0.6× 119 1.0× 32 1.2k
Marja D. Sepers Canada 15 756 1.4× 503 1.4× 232 1.0× 80 0.7× 127 1.1× 24 1.2k
Mariano G. Blake Argentina 19 487 0.9× 281 0.8× 464 2.0× 175 1.4× 94 0.8× 35 926

Countries citing papers authored by Emilio J. Galván

Since Specialization
Citations

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

Fields of papers citing papers by Emilio J. Galván

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emilio J. Galván. 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 Emilio J. Galván. The network helps show where Emilio J. Galván may publish in the future.

Co-authorship network of co-authors of Emilio J. Galván

This figure shows the co-authorship network connecting the top 25 collaborators of Emilio J. Galván. A scholar is included among the top collaborators of Emilio J. Galván 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 Emilio J. Galván. Emilio J. Galván 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.
Fuenzalida, Marco, et al.. (2024). Maternal immune activation alters temporal Precision of spike generation of CA1 pyramidal neurons by Unbalancing GABAergic inhibition in the Offspring. Brain Behavior and Immunity. 123. 211–228. 1 indexed citations
2.
Galván, Emilio J., et al.. (2024). Dopamine D1 receptors activation rescues hippocampal synaptic plasticity and cognitive impairments in the MK-801 neonatal schizophrenia model. Behavioural Brain Research. 476. 115250–115250. 1 indexed citations
3.
Paz, Lenin Ochoa‐de la, et al.. (2024). The bidirectional role of GABAA and GABAB receptors during the differentiation process of neural precursor cells of the subventricular zone. PLoS ONE. 19(6). e0305853–e0305853. 1 indexed citations
4.
López‐Rubalcava, Carolina, et al.. (2024). Postnatal hypofunction of N‐methyl‐D‐aspartate receptors alters perforant path synaptic plasticity and filtering and impairs dentate gyrus‐mediated spatial discrimination. British Journal of Pharmacology. 181(16). 2701–2724. 1 indexed citations
5.
Galván, Emilio J., et al.. (2023). BDNF and Lactate as Modulators of Hippocampal CA3 Network Physiology. Cellular and Molecular Neurobiology. 43(8). 4007–4022. 8 indexed citations
6.
7.
Galván, Emilio J., et al.. (2023). Taurine Promotes Differentiation and Maturation of Neural Stem/Progenitor Cells from the Subventricular Zone via Activation of GABAA Receptors. Neurochemical Research. 48(7). 2206–2219. 9 indexed citations
8.
Galván, Emilio J. & Angélica Zepeda. (2023). The impact of maternal immune activation on the morphology and electrophysiological properties of postnatally-born neurons in the offspring. Neural Regeneration Research. 19(2). 399–400. 2 indexed citations
9.
López‐Rubalcava, Carolina, et al.. (2021). Activation of D1/D5 receptors ameliorates decreased intrinsic excitability of hippocampal neurons induced by neonatal blockade of N‐methyl‐d‐aspartate receptors. British Journal of Pharmacology. 179(8). 1695–1715. 10 indexed citations
10.
Galván, Emilio J., et al.. (2021). Biophysical and synaptic properties of regular spiking interneurons in hippocampal area CA3 of aged rats. Neurobiology of Aging. 112. 27–38. 4 indexed citations
11.
Galván, Emilio J., et al.. (2020). Lactate induces synapse-specific potentiation on CA3 pyramidal cells of rat hippocampus. PLoS ONE. 15(11). e0242309–e0242309. 23 indexed citations
12.
Cruz, Silvia L., et al.. (2019). Repeated toluene exposure alters the synaptic transmission of layer 5 medial prefrontal cortex. Neurotoxicology and Teratology. 73. 9–14. 11 indexed citations
13.
Cruz, Silvia L., et al.. (2018). Repeated toluene exposure increases the excitability of layer 5 pyramidal neurons in the prefrontal cortex of adolescent rats. Neurotoxicology and Teratology. 68. 27–35. 11 indexed citations
14.
15.
Galván, Emilio J., et al.. (2018). Modulation of hippocampal excitability via the hydroxycarboxylic acid receptor 1. Hippocampus. 28(8). 557–567. 44 indexed citations
16.
Galván, Emilio J., et al.. (2016). Aging-related impairments of hippocampal mossy fibers synapses on CA3 pyramidal cells. Neurobiology of Aging. 49. 119–137. 33 indexed citations
17.
Galván, Emilio J. & Rafael Gutiérrez. (2016). Target-Dependent Compartmentalization of the Corelease of Glutamate and GABA from the Mossy Fibers. Journal of Neuroscience. 37(3). 701–714. 11 indexed citations
18.
Rocha, Luísa, et al.. (2016). Propylparaben reduces the excitability of hippocampal neurons by blocking sodium channels. NeuroToxicology. 57. 183–193. 16 indexed citations
19.
Galván, Emilio J., et al.. (2015). Synapse-specific compartmentalization of signaling cascades for LTP induction in CA3 interneurons. Neuroscience. 290. 332–345. 16 indexed citations
20.
Sevilla, David Fernández de, Julieta Garduño, Emilio J. Galván, & Washington Buño. (2006). Calcium-Activated Afterhyperpolarizations Regulate Synchronization and Timing of Epileptiform Bursts in Hippocampal CA3 Pyramidal Neurons. Journal of Neurophysiology. 96(6). 3028–3041. 47 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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