Morvane Colin

3.8k total citations
58 papers, 2.8k citations indexed

About

Morvane Colin is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Morvane Colin has authored 58 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 24 papers in Physiology and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Morvane Colin's work include Alzheimer's disease research and treatments (23 papers), Virus-based gene therapy research (14 papers) and RNA Interference and Gene Delivery (11 papers). Morvane Colin is often cited by papers focused on Alzheimer's disease research and treatments (23 papers), Virus-based gene therapy research (14 papers) and RNA Interference and Gene Delivery (11 papers). Morvane Colin collaborates with scholars based in France, United Kingdom and Belgium. Morvane Colin's co-authors include Luc Buée, Simon Dujardin, Séverine Bégard, Raphaëlle Caillierez, Sébastien Carrier, Anne Loyens, Marie‐Christine Galas, Ronald Melki, Luc Bousset and Charles Coutelle and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Neuroscience.

In The Last Decade

Morvane Colin

56 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Morvane Colin France 27 1.5k 1.5k 730 665 338 58 2.8k
Hyang‐Sook Hoe South Korea 32 1.4k 0.9× 1.5k 1.0× 832 1.1× 620 0.9× 215 0.6× 92 3.3k
Berta Puig Spain 36 1.6k 1.0× 2.1k 1.4× 731 1.0× 902 1.4× 537 1.6× 72 3.7k
Lee‐Way Jin United States 23 1.4k 0.9× 1.3k 0.9× 382 0.5× 423 0.6× 309 0.9× 37 2.6k
Eloïse Hudry United States 28 1.8k 1.2× 1.8k 1.2× 1.1k 1.5× 1.1k 1.6× 321 0.9× 49 4.1k
Tracy L. Young‐Pearse United States 35 1.5k 1.0× 2.8k 1.9× 1.0k 1.4× 550 0.8× 259 0.8× 82 4.4k
Paramita Chakrabarty United States 33 1.8k 1.2× 1.1k 0.7× 638 0.9× 1.4k 2.1× 741 2.2× 90 3.5k
Seong Su Kang United States 30 1.1k 0.7× 1.1k 0.7× 886 1.2× 501 0.8× 552 1.6× 49 2.8k
Chihiro Sato Japan 23 2.1k 1.4× 1.4k 0.9× 943 1.3× 416 0.6× 210 0.6× 55 3.4k
Jiro Takano Japan 22 1.2k 0.8× 1.1k 0.8× 766 1.0× 479 0.7× 273 0.8× 26 2.5k
Takumi Akagi Japan 25 1.1k 0.8× 1.6k 1.1× 929 1.3× 284 0.4× 396 1.2× 45 3.0k

Countries citing papers authored by Morvane Colin

Since Specialization
Citations

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

Fields of papers citing papers by Morvane Colin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morvane Colin

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

All Works

20 of 20 papers shown
1.
Kirabali, Tunahan, Uwe Konietzko, Daniel Razansky, et al.. (2025). Reduced synaptic vesicle protein 2A in extracellular vesicles and brains of Alzheimer’s disease: associations with Aβ, tau, synaptic proteins and APOE ε4. Translational Neurodegeneration. 14(1). 48–48.
2.
Perbet, Romain, Séverine Bégard, Raphaëlle Caillierez, et al.. (2025). Protein fingerprints of brain-derived extracellular vesicles predict types of tau pathology. Alzheimer s Research & Therapy. 17(1). 223–223.
3.
Danis, Clément, Elian Dupré, François‐Xavier Cantrelle, et al.. (2025). Inhibition of tau neuronal internalization using anti-tau single domain antibodies. Nature Communications. 16(1). 3162–3162. 3 indexed citations
4.
Perbet, Romain, Sylvain Perriot, Renaud Du Pasquier, et al.. (2023). Tau Transfer via Extracellular Vesicles Disturbs the Astrocytic Mitochondrial System. Cells. 12(7). 985–985. 17 indexed citations
5.
Arandel, Ludovic, Arnaud F. Klein, Frédérique Rau, et al.. (2022). Reversal of RNA toxicity in myotonic dystrophy via a decoy RNA-binding protein with high affinity for expanded CUG repeats. Nature Biomedical Engineering. 6(2). 207–220. 25 indexed citations
6.
Danis, Clément, Elian Dupré, Orgeta Zejneli, et al.. (2022). Inhibition of Tau seeding by targeting Tau nucleation core within neurons with a single domain antibody fragment. Molecular Therapy. 30(4). 1484–1499. 37 indexed citations
7.
Perbet, Romain, Raphaëlle Caillierez, Kevin Richetin, et al.. (2021). Extracellular vesicles: Major actors of heterogeneity in tau spreading among human tauopathies. Molecular Therapy. 30(2). 782–797. 21 indexed citations
8.
Richetin, Kevin, Pascal Steullet, Romain Perbet, et al.. (2020). Tau accumulation in astrocytes of the dentate gyrus induces neuronal dysfunction and memory deficits in Alzheimer’s disease. Nature Neuroscience. 23(12). 1567–1579. 150 indexed citations
9.
Raffo‐Romero, Antonella, Tanina Arab, Christelle Van Camp, et al.. (2019). Isolation of microglia-derived extracellular vesicles: towards miRNA signatures and neuroprotection. Journal of Nanobiotechnology. 17(1). 119–119. 48 indexed citations
10.
Sauvé, Florent, Sébastien Didier, Séverine Bégard, et al.. (2019). Neuronal AMP-activated protein kinase hyper-activation induces synaptic loss by an autophagy-mediated process. Cell Death and Disease. 10(3). 221–221. 54 indexed citations
11.
Colin, Morvane, Simon Dujardin, Susanna Schraen‐Maschke, et al.. (2019). From the prion-like propagation hypothesis to therapeutic strategies of anti-tau immunotherapy. Acta Neuropathologica. 139(1). 3–25. 122 indexed citations
12.
Marinangeli, Claudia, Sébastien Didier, Tariq Ahmed, et al.. (2018). AMP-Activated Protein Kinase Is Essential for the Maintenance of Energy Levels during Synaptic Activation. iScience. 9. 1–13. 66 indexed citations
13.
Dujardin, Simon, Séverine Bégard, Raphaëlle Caillierez, et al.. (2018). Different tau species lead to heterogeneous tau pathology propagation and misfolding. Acta Neuropathologica Communications. 6(1). 132–132. 80 indexed citations
14.
Mudher, Amritpal, Morvane Colin, Simon Dujardin, et al.. (2017). What is the evidence that tau pathology spreads through prion-like propagation?. Acta Neuropathologica Communications. 5(1). 99–99. 265 indexed citations
15.
Caillierez, Raphaëlle, Séverine Bégard, Katia Lécolle, et al.. (2013). Lentiviral Delivery of the Human Wild-type Tau Protein Mediates a Slow and Progressive Neurodegenerative Tau Pathology in the Rat Brain. Molecular Therapy. 21(7). 1358–1368. 26 indexed citations
16.
Buée, Luc, David Blum, Stéphanie Bombois, et al.. (2010). Comment les acteurs moléculaires de la pathologie Alzheimer permettent de comprendre la démence ? Quelles conséquences diagnostiques et thérapeutiques ?. Therapies. 65(5). 401–407. 3 indexed citations
17.
19.
Colin, Morvane & Jean-Claude D'Halluin. (2003). Vecteurs de thérapie génique pour les cellules hématopoïétiques. Hématologie. 9(4). 303–318. 1 indexed citations
20.
Keller, Michael, Richard P. Harbottle, Éric Pérouzel, et al.. (2003). Nuclear Localisation Sequence Templated Nonviral Gene Delivery Vectors: Investigation of Intracellular Trafficking Events of LMD and LD Vector Systems. ChemBioChem. 4(4). 286–298. 59 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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