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Cited by 269

The DOI matches its Crossref record; 129 of the 129 references it cites were found in a registry or an index.

Nerve Repair by Means of Tubulization: Past, Present, Future

Open access
Konofaos, P., Ver Halen, J.·2013·Journal of Reconstructive Microsurgery

Abstract

Peripheral nerve injury may result in injury without gaps or injury with gaps between nerve stumps. In the presence of a nerve defect, the placement of an autologous nerve graft is the current gold standard for nerve restoration. The clinical employment of tubes as an alternative to autogenous nerve grafts is mainly justified by the limited availability of donor tissue for nerve autografts and their related morbidity. The purpose of this review is to present an overview of the literature on the applications of nerve conduits in peripheral nerve repair. Moreover, the different steps that are involved in the design of an ideal nerve conduit for peripheral nerve repair, including the choice of biomaterial, fabrication technique, and the various potential modifications to the common hollow nerve tube, are also discussed.

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Registry

Crossref · 10.1055/s-0032-1333316

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Metadata

Authors
Konofaos, P., & Ver Halen, J.
Venue
Journal of Reconstructive Microsurgery
Published
2013-01-09
Volume
29
Issue
03
Pages
149-164
ISSN
  • 0743-684X (ISSN-L)
  • 1098-8947
OpenAlex
W2044476979
Cited by
269
References
129
FWCI
9.61
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Nerve Repair by Means of Tubulization: Past, Present, Future. https://app.cochat.ai/papers/10.1055/s-0032-1333316
The paper
Konofaos, P., & Ver Halen, J. (2013). Nerve Repair by Means of Tubulization: Past, Present, Future. Journal of Reconstructive Microsurgery. https://doi.org/10.1055/s-0032-1333316

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.