Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 279

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Elusive radial glial cells: Historical and evolutionary perspective

Open access
Rakic, Pasko·2003·Glia

Abstract

Since the discovery of radial glial cells in the human fetal forebrain, this specialized cellular population has been identified in most regions of the vertebrate brain during restricted developmental periods. However, their size, longevity, and significance for guiding migrating neurons have increased with the evolutionary expansion of the mammalian neocortex, reaching a peak in the gyrencephalic human forebrain. The phenotypic distinction of radial glial cells from the more specialized neuronal progenitors in the proliferative zones and from the migrating neurons in the intermediate zone of the primate fetal forebrain, based initially on morphological criteria, has been supported by their ultrastructural, molecular, and physiological characteristics. In addition, modern in vivo and in vitro approaches revealed that these specialized embryonic cells can also generate neuronal cell lines, which either immediately, or after several divisions, migrate along radial shaft processes of the mother cells that span the expanding and convoluted cerebral wall. The multiple functions of radial glial cells and their species‐specific adaptations indicate a pivotal role in evolution, development, and pathology of the cerebral neocortex. GLIA 43:19–32, 2003. © 2003 Wiley‐Liss, Inc.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/glia.10244

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 9 references

Cited by

See all 279

Metadata

Authors
Rakic, P.
Venue
Glia
Publisher
Wiley
Published
2003-05-16
Volume
43
Issue
1
Pages
19-32
ISSN
  • 0894-1491 (ISSN-L)
  • 1098-1136
OpenAlex
W2001851378
Cited by
279
References
9
FWCI
3.90
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Elusive radial glial cells: Historical and evolutionary perspective. https://app.cochat.ai/papers/10.1002/glia.10244
The paper
Rakic, P. (2003). Elusive radial glial cells: Historical and evolutionary perspective. Glia. https://doi.org/10.1002/glia.10244

Data sources

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.