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Cited by 1,430

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Design properties of hydrogel tissue-engineering scaffolds

Open access
Zhu, Junmin, Marchant, Roger E·2011·Expert Review of Medical Devices

Abstract

This article summarizes the recent progress in the design and synthesis of hydrogels as tissue-engineering scaffolds. Hydrogels are attractive scaffolding materials owing to their highly swollen network structure, ability to encapsulate cells and bioactive molecules, and efficient mass transfer. Various polymers, including natural, synthetic and natural/synthetic hybrid polymers, have been used to make hydrogels via chemical or physical crosslinking. Recently, bioactive synthetic hydrogels have emerged as promising scaffolds because they can provide molecularly tailored biofunctions and adjustable mechanical properties, as well as an extracellular matrix-like microenvironment for cell growth and tissue formation. This article addresses various strategies that have been explored to design synthetic hydrogels with extracellular matrix-mimetic bioactive properties, such as cell adhesion, proteolytic degradation and growth factor-binding.

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Crossref · 10.1586/erd.11.27

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Metadata

Authors
Zhu, J., & Marchant, R. E.
Venue
Expert Review of Medical Devices
Published
2011-09
Volume
8
Issue
5
Pages
607-626
ISSN
  • 1743-4440 (ISSN-L)
  • 1745-2422
OpenAlex
W2153320120
Cited by
1,430
References
11
FWCI
10.39
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Design properties of hydrogel tissue-engineering scaffolds. https://app.cochat.ai/papers/10.1586/erd.11.27
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Zhu, J., & Marchant, R. E. (2011). Design properties of hydrogel tissue-engineering scaffolds. Expert Review of Medical Devices. https://doi.org/10.1586/erd.11.27

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.