Marie‐Pierre Morel

557 total citations
7 papers, 365 citations indexed

About

Marie‐Pierre Morel is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Marie‐Pierre Morel has authored 7 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 4 papers in Developmental Neuroscience. Recurrent topics in Marie‐Pierre Morel's work include Neurogenesis and neuroplasticity mechanisms (4 papers), Nerve injury and regeneration (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). Marie‐Pierre Morel is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), Nerve injury and regeneration (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). Marie‐Pierre Morel collaborates with scholars based in France, Spain and Italy. Marie‐Pierre Morel's co-authors include Isabelle Dusart, Constantino Sotelo, Emeline Camand, Andréas Faissner, Mohamed Doulazmi, Nicolas Heck, Alain Trembleau, Rosine Wehrlé, Guilan Vodjdani and Hasan X. Avci and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Marie‐Pierre Morel

7 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marie‐Pierre Morel France 7 177 136 99 65 44 7 365
Lida Zoupi United Kingdom 12 121 0.7× 155 1.1× 148 1.5× 57 0.9× 61 1.4× 16 411
Cristina Lao‐Peregrín Spain 7 216 1.2× 204 1.5× 186 1.9× 51 0.8× 24 0.5× 7 524
Lieven Huang United Kingdom 6 185 1.0× 147 1.1× 63 0.6× 15 0.2× 39 0.9× 8 380
Elin Vinsland Sweden 5 75 0.4× 298 2.2× 79 0.8× 54 0.8× 46 1.0× 7 451
Pavol Zelina France 11 276 1.6× 246 1.8× 143 1.4× 11 0.2× 111 2.5× 14 485
Bernadette Bellette Australia 12 160 0.9× 259 1.9× 101 1.0× 19 0.3× 39 0.9× 13 517
Daniela Sinske Germany 12 155 0.9× 310 2.3× 81 0.8× 24 0.4× 53 1.2× 17 550
K. Cusato United States 12 245 1.4× 435 3.2× 24 0.2× 19 0.3× 37 0.8× 14 555
Sylvia Agathou United Kingdom 6 153 0.9× 191 1.4× 197 2.0× 21 0.3× 20 0.5× 8 450
Jane Roskams Canada 7 125 0.7× 108 0.8× 52 0.5× 57 0.9× 8 0.2× 11 376

Countries citing papers authored by Marie‐Pierre Morel

Since Specialization
Citations

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

Fields of papers citing papers by Marie‐Pierre Morel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Pierre Morel. 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 Marie‐Pierre Morel. The network helps show where Marie‐Pierre Morel may publish in the future.

Co-authorship network of co-authors of Marie‐Pierre Morel

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

All Works

7 of 7 papers shown
1.
Morel, Marie‐Pierre, Quentin Welniarz, Fabio Marti, et al.. (2021). Loss of floor plate Netrin-1 impairs midline crossing of corticospinal axons and leads to mirror movements. Cell Reports. 34(3). 108654–108654. 11 indexed citations
2.
Welniarz, Quentin, Marie‐Pierre Morel, Cécile Galléa, et al.. (2017). Non cell-autonomous role of DCC in the guidance of the corticospinal tract at the midline. Scientific Reports. 7(1). 410–410. 27 indexed citations
3.
Fouquet, Coralie, Nicolas Heck, Marc Dos Santos, et al.. (2015). Improving Axial Resolution in Confocal Microscopy with New High Refractive Index Mounting Media. PLoS ONE. 10(3). e0121096–e0121096. 71 indexed citations
4.
Heck, Nicolas, Ann M. Lohof, Christelle Rochefort, et al.. (2013). Mature Purkinje Cells Require the Retinoic Acid-Related Orphan Receptor-α (RORα) to Maintain Climbing Fiber Mono-Innervation and Other Adult Characteristics. Journal of Neuroscience. 33(22). 9546–9562. 46 indexed citations
5.
Repici, Mariaelena, Xiaoru Chen, Marie‐Pierre Morel, et al.. (2012). Specific inhibition of the JNK pathway promotes locomotor recovery and neuroprotection after mouse spinal cord injury. Neurobiology of Disease. 46(3). 710–721. 35 indexed citations
6.
Avci, Hasan X., Rosine Wehrlé, Mohamed Doulazmi, et al.. (2012). Thyroid hormone triggers the developmental loss of axonal regenerative capacity via thyroid hormone receptor α1 and krüppel-like factor 9 in Purkinje cells. Proceedings of the National Academy of Sciences. 109(35). 14206–14211. 52 indexed citations
7.
Camand, Emeline, Marie‐Pierre Morel, Andréas Faissner, Constantino Sotelo, & Isabelle Dusart. (2004). Long‐term changes in the molecular composition of the glial scar and progressive increase of serotoninergic fibre sprouting after hemisection of the mouse spinal cord. European Journal of Neuroscience. 20(5). 1161–1176. 123 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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