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Cited by 450

The DOI matches its Crossref record; 180 of the 180 references it cites were found in a registry or an index.

Bioinert, biodegradable and injectable polymeric matrix composites for hard tissue replacement: state of the art and recent developments

Mano, João F, Sousa, Rui A, Boesel, Luciano F, Neves, Nuno M, Reis, Rui L·2004·Composites Science and Technology

Abstract

The present review paper examines the use of different types of polymeric matrix composites in hard tissue replacement applications.The review presents the actual state of the art in the fields of bioinert composites for permanent applications, biodegradable matrix composites for temporary applications and the emerging area of injectable composites.In all cases some recent developments are also discussed.The paper starts with an introduction to locate the reader.Bone–analogue composites are then extensively discussed.Several other systems based on an inert polymeric matrix are described, focusing on their proposed applications.A great emphasis is afterwards given to biodegradable matrix systems.The most widely used synthetic bioresorbable systems are analysed and compared with an example of natural origin degradable composites–starch based composites.Finally, composite systems that are non-processable by melt based routes and in many cases injectable are discussed in detail, including several recent developments on this emerging area of research. # 2003 Published by Elsevier Ltd.

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Registry

Crossref · 10.1016/j.compscitech.2003.09.001

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Metadata

Authors
Mano, J. F., Sousa, R. A., Boesel, L. F., Neves, N. M., & Reis, R. L.
Venue
Composites Science and Technology
Publisher
Elsevier BV
Published
2004-05
Volume
64
Issue
6
Pages
789-817
ISSN
0266-3538 (ISSN-L)
OpenAlex
W2167304759
Cited by
450
References
180
FWCI
6.40
Type
journal article
Language
en
Open access
closed

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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.