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Cited by 789

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

Biomaterial strategies for engineering implants for enhanced osseointegration and bone repair

Open access
Agarwal, Rachit, García, Andrés J.·2015·Advanced Drug Delivery Reviews

Abstract

Bone tissue has a remarkable ability to regenerate and heal itself. However, large bone defects and complex fractures still present a significant challenge to the medical community. Current treatments center on metal implants for structural and mechanical support and auto- or allo-grafts to substitute long bone defects. Metal implants are associated with several complications such as implant loosening and infections. Bone grafts suffer from donor site morbidity, reduced bioactivity, and risk of pathogen transmission. Surgical implants can be modified to provide vital biological cues, growth factors and cells in order to improve osseointegration and repair of bone defects. Here we review strategies and technologies to engineer metal surfaces to promote osseointegration with the host tissue. We also discuss strategies for modifying implants for cell adhesion and bone growth via integrin signaling and growth factor and cytokine delivery for bone defect repair.

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Metadata

Authors
Agarwal, R., & García, A. J.
Venue
Advanced Drug Delivery Reviews
Publisher
Elsevier BV
Published
2015-11
Volume
94
Pages
53-62
ISSN
0169-409X (ISSN-L)
OpenAlex
W2081965734
Cited by
789
References
5
FWCI
3.85
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Biomaterial strategies for engineering implants for enhanced osseointegration and bone repair. https://app.cochat.ai/papers/10.1016/j.addr.2015.03.013
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Agarwal, R., & García, A. J. (2015). Biomaterial strategies for engineering implants for enhanced osseointegration and bone repair. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2015.03.013

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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.