Dagoberto Tapia

1.2k total citations
36 papers, 923 citations indexed

About

Dagoberto Tapia is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Dagoberto Tapia has authored 36 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cellular and Molecular Neuroscience, 18 papers in Cognitive Neuroscience and 13 papers in Molecular Biology. Recurrent topics in Dagoberto Tapia's work include Neuroscience and Neuropharmacology Research (24 papers), Neural dynamics and brain function (14 papers) and Neuroscience and Neural Engineering (10 papers). Dagoberto Tapia is often cited by papers focused on Neuroscience and Neuropharmacology Research (24 papers), Neural dynamics and brain function (14 papers) and Neuroscience and Neural Engineering (10 papers). Dagoberto Tapia collaborates with scholars based in Mexico, China and Italy. Dagoberto Tapia's co-authors include Elvira Galarraga, José Bargas, Luis Carrillo‐Reid, René Drucker‐Colín, Jorge Aceves, Adán Hernández, Salvador Hernández‐López, Fatuel Tecuapetla, Arturo Hernández‐Cruz and Stefan Mihailescu and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Neuroscience.

In The Last Decade

Dagoberto Tapia

33 papers receiving 908 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dagoberto Tapia Mexico 17 747 365 295 255 49 36 923
Andrea Hetzel United States 6 685 0.9× 302 0.8× 454 1.5× 88 0.3× 82 1.7× 7 919
Stephanie C. Gantz United States 15 529 0.7× 173 0.5× 353 1.2× 67 0.3× 40 0.8× 24 757
Steven M. Gee United States 8 611 0.8× 288 0.8× 352 1.2× 100 0.4× 49 1.0× 8 851
M. Garcia-Munoz Japan 19 953 1.3× 287 0.8× 358 1.2× 343 1.3× 29 0.6× 37 1.1k
Xiusong Wang China 13 598 0.8× 349 1.0× 235 0.8× 67 0.3× 41 0.8× 18 747
Lucı́a Prensa Spain 18 771 1.0× 308 0.8× 252 0.9× 400 1.6× 22 0.4× 28 1.1k
Jason T. Moyer United States 10 448 0.6× 248 0.7× 147 0.5× 129 0.5× 31 0.6× 15 556
Mieko Morishima Japan 14 936 1.3× 674 1.8× 275 0.9× 54 0.2× 52 1.1× 19 1.2k
Fulva Shah United States 11 654 0.9× 303 0.8× 299 1.0× 130 0.5× 39 0.8× 11 742

Countries citing papers authored by Dagoberto Tapia

Since Specialization
Citations

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

Fields of papers citing papers by Dagoberto Tapia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagoberto Tapia

This figure shows the co-authorship network connecting the top 25 collaborators of Dagoberto Tapia. A scholar is included among the top collaborators of Dagoberto Tapia 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 Dagoberto Tapia. Dagoberto Tapia 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.
Tapia, Dagoberto, et al.. (2025). Cortical beta oscillation in brain slices of hemi parkinsonian mice. Neuroscience Letters. 849. 138128–138128. 1 indexed citations
2.
3.
Garduño, Julieta, et al.. (2024). The activation of D2-like dopamine receptors increases NMDA currents in the dorsal raphe serotonergic neurons. Neuroscience Letters. 839. 137933–137933.
4.
5.
Arias-García, Mario A., et al.. (2021). Firing Differences Between Adult Intralaminar Thalamo-striatal Neurons. Neuroscience. 458. 153–165. 2 indexed citations
6.
Tapia, Dagoberto, et al.. (2020). Spontaneous Activity of Neuronal Ensembles in Mouse Motor Cortex: Changes after GABAergic Blockade. Neuroscience. 446. 304–322. 5 indexed citations
7.
Hernández‐González, Omar, et al.. (2020). Mechanisms of stimulatory effects of mecamylamine on the dorsal raphe neurons. Brain Research Bulletin. 164. 289–298. 3 indexed citations
8.
Tapia, Dagoberto, et al.. (2014). Morphological Characterization of Respiratory Neurons in the Pre-Bötzinger Complex. Progress in brain research. 209. 39–56. 11 indexed citations
9.
Arias-García, Mario A., Edén Flores-Barrera, Dagoberto Tapia, et al.. (2013). Contribution of different classes of glutamate receptors in the corticostriatal polysynaptic responses from striatal direct and indirect projection neurons. BMC Neuroscience. 14(1). 60–60. 13 indexed citations
10.
Arias-García, Mario A., et al.. (2013). Duration differences of corticostriatal responses in striatal projection neurons depend on calcium activated potassium currents. Frontiers in Systems Neuroscience. 7. 63–63. 11 indexed citations
11.
Garduño, Julieta, et al.. (2012). Presynaptic α4β2 Nicotinic Acetylcholine Receptors Increase Glutamate Release and Serotonin Neuron Excitability in the Dorsal Raphe Nucleus. Journal of Neuroscience. 32(43). 15148–15157. 65 indexed citations
12.
Galarraga, Elvira, et al.. (2010). Dopaminergic Modulation of Spiny Neurons in the Turtle Striatum. Cellular and Molecular Neurobiology. 30(5). 743–750. 9 indexed citations
13.
Flores-Barrera, Edén, et al.. (2009). Inhibitory Contribution to Suprathreshold Corticostriatal Responses: An Experimental and Modeling Study. Cellular and Molecular Neurobiology. 29(5). 719–731. 16 indexed citations
14.
Bolívar, J. J., et al.. (2008). A hyperpolarization-activated, cyclic nucleotide-gated, (Ih-like) cationic current and HCN gene expression in renal inner medullary collecting duct cells. American Journal of Physiology-Cell Physiology. 294(4). C893–C906. 14 indexed citations
15.
Carrillo‐Reid, Luis, Fatuel Tecuapetla, Dagoberto Tapia, et al.. (2008). Encoding Network States by Striatal Cell Assemblies. Journal of Neurophysiology. 99(3). 1435–1450. 142 indexed citations
16.
Ibáñez-Sandoval, Osvaldo, Luis Carrillo‐Reid, Elvira Galarraga, et al.. (2007). Bursting in Substantia Nigra Pars Reticulata Neurons In Vitro: Possible Relevance for Parkinson Disease. Journal of Neurophysiology. 98(4). 2311–2323. 41 indexed citations
17.
Galarraga, Elvira, et al.. (2006). Differential induction of long term synaptic plasticity in inhibitory synapses of the hippocampus. Synapse. 60(7). 533–542. 11 indexed citations
18.
Ibáñez-Sandoval, Osvaldo, Adán Hernández, Benjamí­n Florán, et al.. (2005). Control of the Subthalamic Innervation of Substantia Nigra Pars Reticulata by D1 and D2 Dopamine Receptors. Journal of Neurophysiology. 95(3). 1800–1811. 53 indexed citations
19.
Galarraga, Elvira, et al.. (1998). Passive properties of neostriatal neurons during potassium conductance blockade. Experimental Brain Research. 120(1). 70–84. 20 indexed citations
20.
Bargas, José, et al.. (1996). Inhibitory action of dopamine involves a subthreshold Cs+-sensitive conductance in neostriatal neurons. Experimental Brain Research. 110(2). 205–11. 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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