Grégory Ghézali

601 total citations
9 papers, 454 citations indexed

About

Grégory Ghézali is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Grégory Ghézali has authored 9 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Grégory Ghézali's work include Neuroscience and Neuropharmacology Research (4 papers), Connexins and lens biology (4 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). Grégory Ghézali is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Connexins and lens biology (4 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). Grégory Ghézali collaborates with scholars based in France, United Kingdom and Germany. Grégory Ghézali's co-authors include Nathalie Rouach, Glenn Dallérac, Ulrike Pannasch, Pascal Ezan, Martine Cohen‐Salmon, Dominik Freche, Verónica Abudara, Joachim Lübke, Nicole Déglon and Carole Escartin and has published in prestigious journals such as Nature Neuroscience, Development and Cerebral Cortex.

In The Last Decade

Grégory Ghézali

9 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grégory Ghézali France 7 255 181 150 70 68 9 454
Michael Doengi Germany 12 338 1.3× 270 1.5× 110 0.7× 29 0.4× 47 0.7× 15 610
Alberto Pérez‐Alvarez Spain 13 400 1.6× 302 1.7× 194 1.3× 75 1.1× 98 1.4× 22 733
Anton Schulmann United States 13 258 1.0× 317 1.8× 89 0.6× 28 0.4× 78 1.1× 21 625
Yulia Dembitskaya Russia 13 286 1.1× 143 0.8× 117 0.8× 41 0.6× 46 0.7× 20 451
А. P. Bolshakov Russia 14 243 1.0× 368 2.0× 84 0.6× 63 0.9× 49 0.7× 50 641
Stefano Morara Italy 13 279 1.1× 137 0.8× 122 0.8× 71 1.0× 50 0.7× 25 452
Francesco Gobbo United Kingdom 11 207 0.8× 105 0.6× 70 0.5× 46 0.7× 48 0.7× 20 353
Arthur Bikbaev Germany 16 425 1.7× 233 1.3× 66 0.4× 38 0.5× 94 1.4× 20 618
Tal Laviv Israel 9 414 1.6× 329 1.8× 66 0.4× 79 1.1× 62 0.9× 16 661
Misa Arizono France 14 529 2.1× 234 1.3× 291 1.9× 86 1.2× 102 1.5× 24 729

Countries citing papers authored by Grégory Ghézali

Since Specialization
Citations

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

Fields of papers citing papers by Grégory Ghézali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grégory Ghézali

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

All Works

9 of 9 papers shown
1.
Ghézali, Grégory, Jérôme Ribot, Nathan Curry, et al.. (2024). Connexin 30 locally controls actin cytoskeleton and mechanical remodeling in motile astrocytes. Glia. 72(10). 1915–1929. 2 indexed citations
2.
Pandamooz, Sareh, et al.. (2024). OXTR-mediated signaling in astrocytes contributes to anxiolysis. Molecular Psychiatry. 30(6). 2620–2634. 8 indexed citations
3.
Cresto, Noémie, Yoann Saillour, Grégory Ghézali, et al.. (2020). The intellectual disability protein Oligophrenin‐1 controls astrocyte morphology and migration. Glia. 68(9). 1729–1742. 6 indexed citations
4.
Ghézali, Grégory, Flora Vasile, Nathan Curry, et al.. (2019). Neuronal Activity Drives Astroglial Connexin 30 in Perisynaptic Processes and Shapes Its Functions. Cerebral Cortex. 30(2). 753–766. 17 indexed citations
5.
Ghézali, Grégory, Charles‐Félix Calvo, Flora Llense, et al.. (2018). Connexin 30 controls astroglial polarization during postnatal brain development. Development. 145(4). 28 indexed citations
6.
Curry, Nathan, Grégory Ghézali, Gabriele S. Kaminski Schierle, Nathalie Rouach, & Clemens F. Kaminski. (2017). Correlative STED and Atomic Force Microscopy on Live Astrocytes Reveals Plasticity of Cytoskeletal Structure and Membrane Physical Properties during Polarized Migration. Frontiers in Cellular Neuroscience. 11. 104–104. 45 indexed citations
7.
Ghézali, Grégory, Glenn Dallérac, & Nathalie Rouach. (2015). Perisynaptic astroglial processes: dynamic processors of neuronal information. Brain Structure and Function. 221(5). 2427–2442. 50 indexed citations
8.
Pannasch, Ulrike, Dominik Freche, Glenn Dallérac, et al.. (2014). Connexin 30 sets synaptic strength by controlling astroglial synapse invasion. Nature Neuroscience. 17(4). 549–558. 258 indexed citations
9.
Plá, Virginia, Sonia Paco, Grégory Ghézali, et al.. (2012). Secretory Sorting Receptors Carboxypeptidase E and Secretogranin III in Amyloid β‐Associated Neural Degeneration in Alzheimer's Disease. Brain Pathology. 23(3). 274–284. 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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