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Cited by 759

The DOI matches its Crossref record; 256 of the 256 references it cites were found in a registry or an index.

The Cell Biology of Neurogenesis: Toward an Understanding of the Development and Evolution of the Neocortex

Taverna, Elena, Götz, Magdalena, Huttner, Wieland B.·2014·Annual Review of Cell and Developmental Biology

Abstract

Neural stem and progenitor cells have a central role in the development and evolution of the mammalian neocortex. In this review, we first provide a set of criteria to classify the various types of cortical stem and progenitor cells. We then discuss the issue of cell polarity, as well as specific subcellular features of these cells that are relevant for their modes of division and daughter cell fate. In addition, cortical stem and progenitor cell behavior is placed into a tissue context, with consideration of extracellular signals and cell-cell interactions. Finally, the differences across species regarding cortical stem and progenitor cells are dissected to gain insight into key developmental and evolutionary mechanisms underlying neocortex expansion.

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Crossref · 10.1146/annurev-cellbio-101011-155801

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Metadata

Authors
Taverna, E., Götz, M., & Huttner, W. B.
Venue
Annual Review of Cell and Developmental Biology
Published
2014-10-11
Volume
30
Issue
1
Pages
465-502
ISSN
  • 1081-0706 (ISSN-L)
  • 1530-8995
OpenAlex
W2163870773
Cited by
759
References
256
FWCI
2.94
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Cell Biology of Neurogenesis: Toward an Understanding of the Development and Evolution of the Neocortex. https://app.cochat.ai/papers/10.1146/annurev-cellbio-101011-155801
The paper
Taverna, E., Götz, M., & Huttner, W. B. (2014). The Cell Biology of Neurogenesis: Toward an Understanding of the Development and Evolution of the Neocortex. Annual Review of Cell and Developmental Biology. https://doi.org/10.1146/annurev-cellbio-101011-155801

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.