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Cited by 206

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Defining and designing polymers and hydrogels for neural tissue engineering

Open access
Aurand, Emily R., Lampe, Kyle J., Bjugstad, Kimberly B.·2012·Neuroscience Research

Abstract

The use of biomaterials, such as hydrogels, as neural cell delivery devices is becoming more common in areas of research such as stroke, traumatic brain injury, and spinal cord injury. When reviewing the available research there is some ambiguity in the type of materials used and results are often at odds. This review aims to provide the neuroscience community who may not be familiar with fundamental concepts of hydrogel construction, with basic information that would pertain to neural tissue applications, and to describe the use of hydrogels as cell and drug delivery devices. We will illustrate some of the many tunable properties of hydrogels and the importance of these properties in obtaining reliable and consistent results. It is our hope that this review promotes creative ideas for ways that hydrogels could be adapted and employed for the treatment of a broad range of neurological disorders.

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Crossref · 10.1016/j.neures.2011.12.005

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Metadata

Authors
Aurand, E. R., Lampe, K. J., & Bjugstad, K. B.
Venue
Neuroscience Research
Publisher
Elsevier BV
Published
2012-03
Volume
72
Issue
3
Pages
199-213
ISSN
0168-0102 (ISSN-L)
OpenAlex
W2077732807
Cited by
206
References
14
FWCI
4.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Defining and designing polymers and hydrogels for neural tissue engineering. https://app.cochat.ai/papers/10.1016/j.neures.2011.12.005
The paper
Aurand, E. R., Lampe, K. J., & Bjugstad, K. B. (2012). Defining and designing polymers and hydrogels for neural tissue engineering. Neuroscience Research. https://doi.org/10.1016/j.neures.2011.12.005

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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.