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Cited by 1,237

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Neural Tissue Engineering: Strategies for Repair and Regeneration

Schmidt, Christine E., Leach, Jennie Baier·2003·Annual Review of Biomedical Engineering

Abstract

▪ Abstract Nerve regeneration is a complex biological phenomenon. In the peripheral nervous system, nerves can regenerate on their own if injuries are small. Larger injuries must be surgically treated, typically with nerve grafts harvested from elsewhere in the body. Spinal cord injury is more complicated, as there are factors in the body that inhibit repair. Unfortunately, a solution to completely repair spinal cord injury has not been found. Thus, bioengineering strategies for the peripheral nervous system are focused on alternatives to the nerve graft, whereas efforts for spinal cord injury are focused on creating a permissive environment for regeneration. Fortunately, recent advances in neuroscience, cell culture, genetic techniques, and biomaterials provide optimism for new treatments for nerve injuries. This article reviews the nervous system physiology, the factors that are critical for nerve repair, and the current approaches that are being explored to aid peripheral nerve regeneration and spinal cord repair.

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Crossref · 10.1146/annurev.bioeng.5.011303.120731

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Metadata

Authors
Schmidt, C. E., & Leach, J. B.
Venue
Annual Review of Biomedical Engineering
Published
2003-08
Volume
5
Issue
1
Pages
293-347
ISSN
  • 1523-9829 (ISSN-L)
  • 1545-4274
OpenAlex
W2107514110
Cited by
1,237
References
5
FWCI
1.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Neural Tissue Engineering: Strategies for Repair and Regeneration. https://app.cochat.ai/papers/10.1146/annurev.bioeng.5.011303.120731
The paper
Schmidt, C. E., & Leach, J. B. (2003). Neural Tissue Engineering: Strategies for Repair and Regeneration. Annual Review of Biomedical Engineering. https://doi.org/10.1146/annurev.bioeng.5.011303.120731

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.