Mario Treviño

1.4k total citations
46 papers, 995 citations indexed

About

Mario Treviño is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Mario Treviño has authored 46 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 18 papers in Cellular and Molecular Neuroscience and 13 papers in Sensory Systems. Recurrent topics in Mario Treviño's work include Neural dynamics and brain function (19 papers), Neuroscience and Neuropharmacology Research (14 papers) and Olfactory and Sensory Function Studies (13 papers). Mario Treviño is often cited by papers focused on Neural dynamics and brain function (19 papers), Neuroscience and Neuropharmacology Research (14 papers) and Olfactory and Sensory Function Studies (13 papers). Mario Treviño collaborates with scholars based in Mexico, Germany and United States. Mario Treviño's co-authors include Humberto Salgado, Alfredo Kirkwood, Marco Atzori, Bin Jiang, Rafael Gutiérrez, Georg Köhr, Elı́as Manjarrez, Godwin Dogbevia, Mazahir T. Hasan and José M. Delgado‐García and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Mario Treviño

42 papers receiving 987 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Treviño Mexico 16 610 452 213 110 107 46 995
Lukas Mesik United States 10 733 1.2× 652 1.4× 213 1.0× 183 1.7× 84 0.8× 11 1.1k
Vincent Breton‐Provencher United States 14 461 0.8× 465 1.0× 251 1.2× 228 2.1× 179 1.7× 17 1.1k
Xiao-lin Chou United States 9 524 0.9× 528 1.2× 188 0.9× 98 0.9× 77 0.7× 11 916
Vikram Jakkamsetti United States 13 644 1.1× 305 0.7× 171 0.8× 149 1.4× 181 1.7× 25 1.1k
Feixue Liang China 11 849 1.4× 668 1.5× 213 1.0× 191 1.7× 72 0.7× 19 1.2k
Han Xu China 11 511 0.8× 489 1.1× 196 0.9× 112 1.0× 91 0.9× 30 872
Sue Ann Koay United States 10 760 1.2× 618 1.4× 213 1.0× 76 0.7× 99 0.9× 13 1.2k
Antonia Marín‐Burgin Argentina 13 436 0.7× 689 1.5× 256 1.2× 61 0.6× 146 1.4× 24 1.1k
David C Rowland United States 14 805 1.3× 697 1.5× 136 0.6× 77 0.7× 94 0.9× 15 1.1k
Sarah Lindo United States 6 531 0.9× 620 1.4× 412 1.9× 51 0.5× 95 0.9× 7 1.2k

Countries citing papers authored by Mario Treviño

Since Specialization
Citations

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

Fields of papers citing papers by Mario Treviño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Treviño

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Treviño. A scholar is included among the top collaborators of Mario Treviño 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 Mario Treviño. Mario Treviño 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.
Treviño, Mario, et al.. (2025). Dissociable sensory, motor, and visuomotor predictive functions. npj Science of Learning. 10(1). 85–85.
2.
Treviño, Mario, et al.. (2025). Predictive fixations to target bounces in an interception task. Journal of Neurophysiology. 134(6). 1837–1852.
3.
Treviño, Mario, et al.. (2025). Monkeys can identify pictures from words. PLoS ONE. 20(2). e0317183–e0317183.
4.
Lemus, Luis, et al.. (2024). A continuum from predictive to online feedback in visuomotor interception. European Journal of Neuroscience. 60(12). 7211–7227. 4 indexed citations
5.
Miguel‐Puga, José Adán, et al.. (2024). Effect of Propranolol on Motor Cortex Excitability in Essential Tremor: An Exploratory Study. Tremor and Other Hyperkinetic Movements. 14. 1–1. 4 indexed citations
6.
Treviño, Mario, María Ángeles Gómez‐Climent, Godwin Dogbevia, et al.. (2024). Dentate gyrus is needed for memory retrieval. Molecular Psychiatry. 29(10). 2939–2950. 7 indexed citations
7.
Treviño, Mario, et al.. (2024). Visuomotor predictors of interception. PLoS ONE. 19(9). e0308642–e0308642. 6 indexed citations
8.
Treviño, Mario, et al.. (2024). Pupillary responses to directional uncertainty while intercepting a moving target. Royal Society Open Science. 11(10). 240606–240606. 6 indexed citations
9.
Treviño, Mario, et al.. (2019). Adrenergic Modulation of Visually-Guided Behavior. Frontiers in Synaptic Neuroscience. 11. 9–9. 7 indexed citations
10.
Treviño, Mario, et al.. (2017). Optogenetic noise-photostimulation on the brain increases somatosensory spike firing responses. Neuroscience Letters. 664. 51–57. 15 indexed citations
11.
Ibarra-Sánchez, Alfredo, et al.. (2016). Fyn kinase genetic ablation causes structural abnormalities in mature retina and defective Müller cell function. Molecular and Cellular Neuroscience. 72. 91–100. 3 indexed citations
12.
Salgado, Humberto, Mario Treviño, & Marco Atzori. (2016). Layer- and area-specific actions of norepinephrine on cortical synaptic transmission. Brain Research. 1641(Pt B). 163–176. 57 indexed citations
13.
Treviño, Mario, et al.. (2015). Undesirable Choice Biases with Small Differences in the Spatial Structure of Chance Stimulus Sequences. PLoS ONE. 10(8). e0136084–e0136084. 11 indexed citations
14.
Huang, Shiyong, Carlos Rozas, Mario Treviño, et al.. (2014). Associative Hebbian Synaptic Plasticity in Primate Visual Cortex. Journal of Neuroscience. 34(22). 7575–7579. 45 indexed citations
15.
Ledderose, Julia, et al.. (2014). A software tool for the analysis of neuronal morphology data. International Archives of Medicine. 7(1). 6–6. 8 indexed citations
16.
Hasan, Mazahir T., Samuel Hernández, Godwin Dogbevia, et al.. (2013). Role of motor cortex NMDA receptors in learning-dependent synaptic plasticity of behaving mice. Nature Communications. 4(1). 2258–2258. 86 indexed citations
17.
Treviño, Mario, et al.. (2011). Discrimination learning with variable stimulus 'salience'. International Archives of Medicine. 4(1). 26–26. 7 indexed citations
18.
Treviño, Mario, Carmen Vivar, & Rafael Gutiérrez. (2011). Excitation-inhibition balance in the CA3 network - neuronal specificity and activity-dependent plasticity. European Journal of Neuroscience. 33(10). 1771–1785. 17 indexed citations
19.
Berkel, Simone, Wannan Tang, Mario Treviño, et al.. (2011). Inherited and de novo SHANK2 variants associated with autism spectrum disorder impair neuronal morphogenesis and physiology. Human Molecular Genetics. 21(2). 344–357. 107 indexed citations
20.
Romo‐Parra, Héctor, Mario Treviño, Uwe Heinemann, & Rafael Gutiérrez. (2008). GABA Actions in Hippocampal Area CA3 During Postnatal Development: Differential Shift From Depolarizing to Hyperpolarizing in Somatic and Dendritic Compartments. Journal of Neurophysiology. 99(3). 1523–1534. 40 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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