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Cited by 915

The DOI matches its Crossref record; 281 of the 281 references it cites were found in a registry or an index.

C ELL M IGRATION IN THE F OREBRAIN

Marín, Oscar, Rubenstein, John L.R.·2003·Annual Review of Neuroscience

Abstract

▪ Abstract The forebrain comprises an intricate set of structures that are required for some of the most complex and evolved functions of the mammalian brain. As a reflection of its complexity, cell migration in the forebrain is extremely elaborated, with widespread dispersion of cells across multiple functionally distinct areas. Two general modes of migration are distinguished in the forebrain: radial migration, which establishes the general cytoarchitectonical framework of the different forebrain subdivisions; and tangential migration, which increases the cellular complexity of forebrain circuits by allowing the dispersion of multiple neuronal types. Here, we review the cellular and molecular mechanisms underlying each of these types of migrations and discuss how emerging concepts in neuronal migration are reshaping our understanding of forebrain development in normal and pathological situations.

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Crossref · 10.1146/annurev.neuro.26.041002.131058

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Metadata

Authors
Marín, O., & Rubenstein, J. L. R.
Venue
Annual Review of Neuroscience
Published
2003-03
Volume
26
Issue
1
Pages
441-483
ISSN
  • 0147-006X (ISSN-L)
  • 1545-4126
OpenAlex
W2134711325
Cited by
915
References
281
FWCI
2.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: C ELL M IGRATION IN THE F OREBRAIN. https://app.cochat.ai/papers/10.1146/annurev.neuro.26.041002.131058
The paper
Marín, O., & Rubenstein, J. L. R. (2003). C ELL M IGRATION IN THE F OREBRAIN. Annual Review of Neuroscience. https://doi.org/10.1146/annurev.neuro.26.041002.131058

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.