George S. Vidal

577 total citations
11 papers, 430 citations indexed

About

George S. Vidal is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biophysics. According to data from OpenAlex, George S. Vidal has authored 11 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Biophysics. Recurrent topics in George S. Vidal's work include Neuroscience and Neuropharmacology Research (5 papers), Cell Image Analysis Techniques (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). George S. Vidal is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Cell Image Analysis Techniques (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). George S. Vidal collaborates with scholars based in United States and Germany. George S. Vidal's co-authors include Maja Djurišić, Carla J. Shatz, Bradley T. Hyman, Taeho Kim, Christopher William, Michael E. Birnbaum, K. Christopher García, Mark Hübener, Yi Zuo and Alexandre Ferrão Santos and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Physiology.

In The Last Decade

George S. Vidal

11 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
George S. Vidal United States	6	218	176	138	121	56	11	430
Juan José Fernandez-Valenzuela Spain	8	253 1.2×	129 0.7×	116 0.8×	202 1.7×	29 0.5×	12	421
Sandrine Sanchez United States	13	181 0.8×	144 0.8×	210 1.5×	83 0.7×	24 0.4×	18	470
Nikisha Carty United States	10	271 1.2×	272 1.5×	368 2.7×	182 1.5×	58 1.0×	12	711
Sabine Liebscher Germany	15	226 1.0×	230 1.3×	195 1.4×	254 2.1×	70 1.3×	21	721
Matthias Vandesquille France	10	158 0.7×	136 0.8×	217 1.6×	188 1.6×	56 1.0×	14	562
Ángela Gómez-Arboledas United States	15	388 1.8×	183 1.0×	154 1.1×	378 3.1×	117 2.1×	16	688
Finn Peters Germany	12	281 1.3×	141 0.8×	121 0.9×	103 0.9×	16 0.3×	14	441
Jennifer Alamed United States	7	498 2.3×	120 0.7×	186 1.3×	285 2.4×	40 0.7×	7	666
Mikhail Melnik United States	8	93 0.4×	141 0.8×	265 1.9×	106 0.9×	34 0.6×	11	508
Somin Kwon United States	10	109 0.5×	117 0.7×	103 0.7×	139 1.1×	44 0.8×	14	412

Countries citing papers authored by George S. Vidal

Since Specialization

Citations

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

Fields of papers citing papers by George S. Vidal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George S. Vidal. 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 George S. Vidal. The network helps show where George S. Vidal may publish in the future.

Co-authorship network of co-authors of George S. Vidal

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

All Works

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11 of 11 papers shown

Vidal, George S., et al.. (2023). Integrin β3 regulates apical dendritic morphology of pyramidal neurons throughout hippocampal CA3. Hippocampus. 33(8). 936–947. 1 indexed citations

Song, Mi‐Ryoung, et al.. (2022). Integrin β3 in forebrain Emx1-expressing cells regulates repetitive self-grooming and sociability in mice. BMC Neuroscience. 23(1). 12–12. 2 indexed citations

Song, Mi‐Ryoung, et al.. (2021). FMRP regulates the subcellular distribution of cortical dendritic spine density in a non-cell-autonomous manner. Neurobiology of Disease. 150. 105253–105253. 4 indexed citations

Vidal, George S.. (2020). Cocktail Napkin Presentations: Design of an Activity to Enhance Undergraduate Communication and Critical Evaluation of Neuroscience Primary Literature.. PubMed. 18(2). A112–A120. 2 indexed citations

Vidal, George S., et al.. (2020). Integrin β3 organizes dendritic complexity of cerebral cortical pyramidal neurons along a tangential gradient. Molecular Brain. 13(1). 168–168. 11 indexed citations

Vidal, George S., et al.. (2018). Cross-Regional Gradient of Dendritic Morphology in Isochronically-Sourced Mouse Supragranular Pyramidal Neurons. Frontiers in Neuroanatomy. 12. 103–103. 5 indexed citations

Vidal, George S., et al.. (2017). Inducing Cre-lox Recombination in Mouse Cerebral Cortex Through <em>In Utero</em> Electroporation. Journal of Visualized Experiments. 6 indexed citations

Vidal, George S., et al.. (2016). Cell-Autonomous Regulation of Dendritic Spine Density by PirB. eNeuro. 3(5). ENEURO.0089–16.2016. 22 indexed citations

Djurišić, Maja, George S. Vidal, Taeho Kim, et al.. (2013). PirB regulates a structural substrate for cortical plasticity. Proceedings of the National Academy of Sciences. 110(51). 20771–20776. 62 indexed citations

10.

Kim, Taeho, George S. Vidal, Maja Djurišić, et al.. (2013). Human LilrB2 Is a β-Amyloid Receptor and Its Murine Homolog PirB Regulates Synaptic Plasticity in an Alzheimer’s Model. Science. 341(6152). 1399–1404. 312 indexed citations

11.

Vidal, George S.. (2011). NKCC1 cotransporters: keeping an ‘ion’ them. The Journal of Physiology. 589(4). 781–782. 3 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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