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Cited by 217

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Insulin receptor signaling in the development of neuronal structure and function

Open access
Chiu, Shu-Ling, Cline, Hollis T·2010·Neural Development

Abstract

Sensory experience plays a crucial role in regulating neuronal shape and in developing synaptic contacts during brain formation. These features are required for a neuron to receive, integrate, and transmit signals within the neuronal network so that animals can adapt to the constant changing environment. Insulin receptor signaling, which has been extensively studied in peripheral organ systems such as liver, muscle and adipocyte, has recently been shown to play important roles in the central nervous system. Here we review the current understanding of the underlying mechanisms that regulate structural and functional aspects of circuit development, particularly with respect to the role of insulin receptor signaling in synaptic function and the development of dendritic arbor morphology. The potential link between insulin receptor signaling malfunction and neurological disorders will also be discussed.

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Crossref · 10.1186/1749-8104-5-7

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Metadata

Authors
Chiu, S.-L., & Cline, H. T.
Venue
Neural Development
Published
2010-03-15
Volume
5
Issue
1
Pages
7-7
ISSN
1749-8104 (ISSN-L)
OpenAlex
W2017807856
Cited by
217
References
28
FWCI
6.21
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Insulin receptor signaling in the development of neuronal structure and function. https://app.cochat.ai/papers/10.1186/1749-8104-5-7
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Chiu, S.-L., & Cline, H. T. (2010). Insulin receptor signaling in the development of neuronal structure and function. Neural Development. https://doi.org/10.1186/1749-8104-5-7

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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.