Virginia Le Verche

790 total citations
9 papers, 562 citations indexed

About

Virginia Le Verche is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Virginia Le Verche has authored 9 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 3 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Virginia Le Verche's work include Amyotrophic Lateral Sclerosis Research (5 papers), Neonatal and fetal brain pathology (2 papers) and Alzheimer's disease research and treatments (2 papers). Virginia Le Verche is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (5 papers), Neonatal and fetal brain pathology (2 papers) and Alzheimer's disease research and treatments (2 papers). Virginia Le Verche collaborates with scholars based in United States, France and United Kingdom. Virginia Le Verche's co-authors include Burcin Ikiz, Serge Przedborski, Diane B. Ré, Dimitra Papadimitriou, Arnaud Jacquier, Kristin A. Politi, Sudarshan Phani, Tetsuya Nagata, Lucas Hoffmann and Hynek Wichterle and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Virginia Le Verche

9 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Virginia Le Verche United States 8 274 248 154 124 111 9 562
Burcin Ikiz United States 6 242 0.9× 241 1.0× 147 1.0× 122 1.0× 83 0.7× 8 505
Kerstin E. Braunstein United States 13 275 1.0× 267 1.1× 159 1.0× 100 0.8× 97 0.9× 13 581
Bhuvaneish T. Selvaraj United Kingdom 15 354 1.3× 317 1.3× 174 1.1× 130 1.0× 164 1.5× 30 709
Eveliina Pollari Finland 10 204 0.7× 220 0.9× 106 0.7× 137 1.1× 89 0.8× 13 551
Javier H. Jara United States 14 249 0.9× 434 1.8× 271 1.8× 140 1.1× 175 1.6× 15 677
Joanna Iłżecka Poland 15 229 0.8× 391 1.6× 170 1.1× 128 1.0× 84 0.8× 68 716
Somasish Ghosh Dastidar United States 11 367 1.3× 179 0.7× 99 0.6× 48 0.4× 69 0.6× 21 639
Jackie S. de Belleroche United Kingdom 11 304 1.1× 250 1.0× 131 0.9× 105 0.8× 87 0.8× 11 574
Ana G. Barbeito United States 11 235 0.9× 229 0.9× 96 0.6× 251 2.0× 88 0.8× 11 601
Paola Fabbrizio Italy 14 166 0.6× 234 0.9× 124 0.8× 171 1.4× 42 0.4× 24 545

Countries citing papers authored by Virginia Le Verche

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Le Verche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virginia Le Verche. 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 Virginia Le Verche. The network helps show where Virginia Le Verche may publish in the future.

Co-authorship network of co-authors of Virginia Le Verche

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Le Verche. A scholar is included among the top collaborators of Virginia Le Verche 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 Virginia Le Verche. Virginia Le Verche 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.
Ikiz, Burcin, Mariano J. Alvarez, Diane B. Ré, et al.. (2015). The Regulatory Machinery of Neurodegeneration in In Vitro Models of Amyotrophic Lateral Sclerosis. Cell Reports. 12(2). 335–345. 36 indexed citations
2.
Verche, Virginia Le. (2014). Nécroptose des motoneurones dans des modèles de sclérose latérale amyotrophique familiale ou sporadique. médecine/sciences. 30(8-9). 748–750. 3 indexed citations
3.
Ré, Diane B., Virginia Le Verche, Mackenzie W. Amoroso, et al.. (2014). Necroptosis Drives Motor Neuron Death in Models of Both Sporadic and Familial ALS. Neuron. 81(5). 1001–1008. 320 indexed citations
4.
Gressèns, Pierre, Virginia Le Verche, Mhoyra Fraser, et al.. (2011). Pitfalls in the Quest of Neuroprotectants for the Perinatal Brain. Developmental Neuroscience. 33(3-4). 189–198. 11 indexed citations
5.
Titomanlio, Luigi, Virginia Le Verche, Jérémie Dalous, et al.. (2010). Implanted Neurosphere-Derived Precursors Promote Recovery After Neonatal Excitotoxic Brain Injury. Stem Cells and Development. 20(5). 865–879. 24 indexed citations
6.
Ré, Diane B., Virginia Le Verche, Burcin Ikiz, Arnaud Jacquier, & Serge Przedborski. (2010). Glutamate pathway implication in amyotrophic lateral sclerosis: what is the signal in the noise?. 1–1. 10 indexed citations
7.
Verche, Virginia Le, Angela M. Kaindl, Catherine Verney, et al.. (2009). The Somatostatin 2A Receptor Is Enriched in Migrating Neurons during Rat and Human Brain Development and Stimulates Migration and Axonal Outgrowth. PLoS ONE. 4(5). e5509–e5509. 25 indexed citations
8.
Papadimitriou, Dimitra, Virginia Le Verche, Arnaud Jacquier, et al.. (2009). Inflammation in ALS and SMA: Sorting out the good from the evil. Neurobiology of Disease. 37(3). 493–502. 105 indexed citations
9.
Lelouvier, Benjamin, Gianluca Tamagno, Angela M. Kaindl, et al.. (2008). Dynamics of Somatostatin Type 2A Receptor Cargoes in Living Hippocampal Neurons. Journal of Neuroscience. 28(17). 4336–4349. 28 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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