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Cited by 298

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Nanostructured Biomaterials for Regeneration

Open access
Wei, Guobao, Ma, Peter X.·2008·Advanced Functional Materials

Abstract

Biomaterials play a pivotal role in regenerative medicine, which aims to regenerate and replace lost/dysfunctional tissues or organs. Biomaterials (scaffolds) serve as temporary 3D substrates to guide neo tissue formation and organization. It is often beneficial for a scaffolding material to mimic the characteristics of extracellular matrix (ECM) at the nanometer scale and to induce certain natural developmental or/and wound healing processes for tissue regeneration applications. This article reviews the fabrication and modification technologies for nanofibrous, nanocomposite, and nanostructured drug‐delivering scaffolds. ECM‐mimicking nanostructured biomaterials have been shown to actively regulate cellular responses including attachment, proliferation, differentiation, and matrix deposition. Nanoscaled drug delivery systems can be successfully incorporated into a porous 3D scaffold to enhance the tissue regeneration capacity. In conclusion, nanostructured biomateials are a very exciting and rapidly expanding research area, and are providing new enabling technologies for regenerative medicine.

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Crossref · 10.1002/adfm.200800662

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Metadata

Authors
Wei, G., & Ma, P. X.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2008-11-17
Volume
18
Issue
22
Pages
3568-3582
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2114126007
Cited by
298
References
2
FWCI
7.04
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Nanostructured Biomaterials for Regeneration. https://app.cochat.ai/papers/10.1002/adfm.200800662
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Wei, G., & Ma, P. X. (2008). Nanostructured Biomaterials for Regeneration. Advanced Functional Materials. https://doi.org/10.1002/adfm.200800662

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.