Pablo Rubio‐Garrido

720 total citations
8 papers, 476 citations indexed

About

Pablo Rubio‐Garrido is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Pablo Rubio‐Garrido has authored 8 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Pablo Rubio‐Garrido's work include Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Photoreceptor and optogenetics research (2 papers). Pablo Rubio‐Garrido is often cited by papers focused on Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Photoreceptor and optogenetics research (2 papers). Pablo Rubio‐Garrido collaborates with scholars based in Spain, Brazil and Switzerland. Pablo Rubio‐Garrido's co-authors include Francisco Clascá, César Porrero, Denis Jabaudon, María J. Galazo, Carlos Avendaño, Alejandro Antón‐Fernández, Javier DeFelipe, Alberto Muñoz, Jeferson S. Cavalcante and Expedito Silva do Nascimento and has published in prestigious journals such as Journal of Neuroscience, Brain Research and Neuroscience.

In The Last Decade

Pablo Rubio‐Garrido

7 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo Rubio‐Garrido Spain 5 300 292 96 48 35 8 476
Gabriele Radnikow Germany 8 393 1.3× 208 0.7× 132 1.4× 59 1.2× 55 1.6× 11 479
Masafumi Takaji Japan 11 263 0.9× 202 0.7× 192 2.0× 32 0.7× 16 0.5× 13 502
Vania Y. Cao United States 9 281 0.9× 198 0.7× 156 1.6× 29 0.6× 21 0.6× 10 418
Kristina Schulz Germany 11 294 1.0× 238 0.8× 139 1.4× 30 0.6× 31 0.9× 19 602
César Porrero Spain 12 389 1.3× 364 1.2× 114 1.2× 120 2.5× 35 1.0× 18 663
Quynh-Anh Nguyen United States 10 268 0.9× 118 0.4× 146 1.5× 30 0.6× 16 0.5× 11 415
Barbara J. Hunnicutt United States 5 379 1.3× 306 1.0× 132 1.4× 15 0.3× 80 2.3× 8 543
Joshua Obermayer Netherlands 11 440 1.5× 387 1.3× 225 2.3× 32 0.7× 17 0.5× 12 658
Sally A. Marik United States 7 217 0.7× 194 0.7× 99 1.0× 29 0.6× 11 0.3× 8 351
Marc Nahmani United States 9 495 1.6× 326 1.1× 238 2.5× 65 1.4× 19 0.5× 16 659

Countries citing papers authored by Pablo Rubio‐Garrido

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Rubio‐Garrido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Rubio‐Garrido. 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 Pablo Rubio‐Garrido. The network helps show where Pablo Rubio‐Garrido may publish in the future.

Co-authorship network of co-authors of Pablo Rubio‐Garrido

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Rubio‐Garrido. A scholar is included among the top collaborators of Pablo Rubio‐Garrido 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 Pablo Rubio‐Garrido. Pablo Rubio‐Garrido is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Rubio‐Garrido, Pablo, et al.. (2025). Projection Motifs and Wiring Logic of Medial Pulvinar Thalamocortical Axons in the Marmoset Monkey. Journal of Neuroscience. 45(15). e1837242025–e1837242025.
2.
Rubio‐Garrido, Pablo, et al.. (2023). The Arousal-Related “Central Thalamus” Stimulation Site Simultaneously Innervates Multiple High-Level Frontal and Parietal Areas. Journal of Neuroscience. 43(46). 7812–7821. 3 indexed citations
3.
Antón‐Fernández, Alejandro, Pablo Rubio‐Garrido, Javier DeFelipe, & Alberto Muñoz. (2013). Selective presence of a giant saccular organelle in the axon initial segment of a subpopulation of layer V pyramidal neurons. Brain Structure and Function. 220(2). 869–884. 12 indexed citations
4.
Clascá, Francisco, Pablo Rubio‐Garrido, & Denis Jabaudon. (2012). Unveiling the diversity of thalamocortical neuron subtypes. European Journal of Neuroscience. 35(10). 1524–1532. 126 indexed citations
5.
Porrero, César, Pablo Rubio‐Garrido, Carlos Avendaño, & Francisco Clascá. (2010). Mapping of fluorescent protein-expressing neurons and axon pathways in adult and developing Thy1-eYFP-H transgenic mice. Brain Research. 1345. 59–72. 138 indexed citations
6.
Rubio‐Garrido, Pablo, et al.. (2009). Thalamic Input to Distal Apical Dendrites in Neocortical Layer 1 Is Massive and Highly Convergent. Cerebral Cortex. 19(10). 2380–2395. 169 indexed citations
7.
Clascá, Francisco, Pablo Rubio‐Garrido, María J. Galazo, & César Porrero. (2009). [Diversity in thalamic relay neurons: evidence for "bottom-up" and "top-down" information flow in thalamocortical pathways].. PubMed. 126(3). 357–72; discussion 372. 3 indexed citations
8.

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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