Ramón Reig

1.5k total citations
23 papers, 945 citations indexed

About

Ramón Reig is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Ramón Reig has authored 23 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 19 papers in Cognitive Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Ramón Reig's work include Neural dynamics and brain function (18 papers), Neuroscience and Neuropharmacology Research (12 papers) and Photoreceptor and optogenetics research (10 papers). Ramón Reig is often cited by papers focused on Neural dynamics and brain function (18 papers), Neuroscience and Neuropharmacology Research (12 papers) and Photoreceptor and optogenetics research (10 papers). Ramón Reig collaborates with scholars based in Spain, Sweden and France. Ramón Reig's co-authors include María V. Sánchez-Vives, Gilad Silberberg, Albert Compte, Vanessa F. Descalzo, Maurizio Mattia, María Pérez‐Zabalza, Roberto Gallego, Lionel G. Nowak, Ramiro Vergara and Michael A. Harvey and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Ramón Reig

23 papers receiving 932 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramón Reig Spain 15 710 592 92 67 52 23 945
W. Bryan Wilent United States 13 830 1.2× 686 1.2× 90 1.0× 72 1.1× 47 0.9× 23 1.1k
Mark H. Shalinsky United States 13 677 1.0× 445 0.8× 117 1.3× 38 0.6× 45 0.9× 15 1.0k
Omar J. Ahmed United States 15 741 1.0× 656 1.1× 68 0.7× 36 0.5× 42 0.8× 33 931
Takashi Takekawa Japan 11 571 0.8× 514 0.9× 76 0.8× 64 1.0× 17 0.3× 18 738
Pierre‐Olivier Polack United States 11 890 1.3× 867 1.5× 212 2.3× 79 1.2× 57 1.1× 17 1.2k
Anita K. Roopun United Kingdom 13 1.2k 1.8× 892 1.5× 156 1.7× 50 0.7× 37 0.7× 13 1.4k
Cesare Magri Germany 10 967 1.4× 411 0.7× 38 0.4× 28 0.4× 34 0.7× 15 1.1k
Tatsuo K. Sato Japan 11 695 1.0× 492 0.8× 133 1.4× 37 0.6× 80 1.5× 20 879
Vaughn L. Hetrick United States 6 591 0.8× 550 0.9× 271 2.9× 55 0.8× 21 0.4× 7 879
Kenji Morita Japan 14 467 0.7× 360 0.6× 93 1.0× 41 0.6× 24 0.5× 49 629

Countries citing papers authored by Ramón Reig

Since Specialization
Citations

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

Fields of papers citing papers by Ramón Reig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramón Reig

This figure shows the co-authorship network connecting the top 25 collaborators of Ramón Reig. A scholar is included among the top collaborators of Ramón Reig 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 Ramón Reig. Ramón Reig 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.
Guillaume, C., et al.. (2025). Cholecystokinin Modulates Corticostriatal Transmission and Plasticity in Rodents. eNeuro. 12(3). ENEURO.0251–24.2025. 1 indexed citations
2.
Garcı́a-Frigola, Cristina, et al.. (2023). Callosal inputs generate side-invariant receptive fields in the barrel cortex. Science Advances. 9(48). eadi3728–eadi3728. 3 indexed citations
3.
Reig, Ramón, et al.. (2023). D2 dopamine receptors and the striatopallidal pathway modulate L-DOPA-induced dyskinesia in the mouse. Neurobiology of Disease. 186. 106278–106278. 4 indexed citations
4.
Pérez‐Zabalza, María, et al.. (2020). Modulation of cortical slow oscillatory rhythm by GABA B receptors: an in vitro experimental and computational study. The Journal of Physiology. 598(16). 3439–3457. 19 indexed citations
5.
Sánchez-Vives, María V., et al.. (2020). GABAB receptors: modulation of thalamocortical dynamics and synaptic plasticity. Neuroscience. 456. 131–142. 39 indexed citations
6.
Ketzef, Maya, et al.. (2019). Direct pathway neurons in mouse dorsolateral striatum in vivo receive stronger synaptic input than indirect pathway neurons. Journal of Neurophysiology. 122(6). 2294–2303. 12 indexed citations
7.
Ketzef, Maya, et al.. (2018). A New Micro-holder Device for Local Drug Delivery during In Vivo Whole-cell Recordings. Neuroscience. 381. 115–123. 5 indexed citations
8.
Reig, Ramón & Gilad Silberberg. (2016). Distinct Corticostriatal and Intracortical Pathways Mediate Bilateral Sensory Responses in the Striatum. Cerebral Cortex. 26(12). 4405–4415. 33 indexed citations
9.
Reig, Ramón, Yann Zerlaut, Ramiro Vergara, Alain Destexhe, & María V. Sánchez-Vives. (2015). Gain Modulation of Synaptic Inputs by Network State in Auditory CortexIn Vivo. Journal of Neuroscience. 35(6). 2689–2702. 41 indexed citations
10.
Borgius, Lotta, Hiroshi Nishimaru, Vanessa Caldeira, et al.. (2014). Spinal Glutamatergic Neurons Defined by EphA4 Signaling Are Essential Components of Normal Locomotor Circuits. Journal of Neuroscience. 34(11). 3841–3853. 43 indexed citations
11.
Reig, Ramón & Gilad Silberberg. (2014). Multisensory Integration in the Mouse Striatum. Neuron. 83(5). 1200–1212. 170 indexed citations
12.
Abolafia, Juan M., et al.. (2010). Cortical Auditory Adaptation in the Awake Rat and the Role of Potassium Currents. Cerebral Cortex. 21(5). 977–990. 44 indexed citations
13.
Deco, Gustavo, et al.. (2009). Effective Reduced Diffusion-Models: A Data Driven Approach to the Analysis of Neuronal Dynamics. PLoS Computational Biology. 5(12). e1000587–e1000587. 58 indexed citations
14.
Reig, Ramón, Maurizio Mattia, Albert Compte, Carlos Belmonte, & María V. Sánchez-Vives. (2009). Temperature Modulation of Slow and Fast Cortical Rhythms. Journal of Neurophysiology. 103(3). 1253–1261. 69 indexed citations
15.
Compte, Albert, et al.. (2008). Spontaneous High-Frequency (10–80 Hz) Oscillations during Up States in the Cerebral CortexIn Vitro. Journal of Neuroscience. 28(51). 13828–13844. 91 indexed citations
16.
Gener, Thomas, Ramón Reig, & María V. Sánchez-Vives. (2008). A new paradigm for the reversible blockage of whisker sensory transmission. Journal of Neuroscience Methods. 176(2). 63–67. 7 indexed citations
17.
Reig, Ramón & María V. Sánchez-Vives. (2007). Synaptic Transmission and Plasticity in an Active Cortical Network. PLoS ONE. 2(8). e670–e670. 46 indexed citations
18.
Sánchez-Vives, María V., Vanessa F. Descalzo, Ramón Reig, et al.. (2007). Rhythmic Spontaneous Activity in the Piriform Cortex. Cerebral Cortex. 18(5). 1179–1192. 33 indexed citations
19.
Reig, Ramón, Roberto Gallego, Lionel G. Nowak, & María V. Sánchez-Vives. (2005). Impact of Cortical Network Activity on Short-term Synaptic Depression. Cerebral Cortex. 16(5). 688–695. 70 indexed citations
20.
Harvey, M., et al.. (2003). Fast oscillations during the up states of slow cortical rhythmic activity in vitro. Acta Neurobiologiae Experimentalis. 63(5). 1 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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