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Cited by 274

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Polysaccharides and Their Derivatives for Versatile Tissue Engineering Application

Khan, Ferdous, Ahmad, Sheikh Rafi·2013·Macromolecular Bioscience

Abstract

Research and development in the design, synthesis, modification, evaluation, and characterization of polysaccharide‐based bioactive polymeric materials for guiding and promoting new tissue in‐growth is reviewed. Emphasis is given in this interdisciplinary field of tissue engineering (TE) with particular reference to bone, cartilage, and skin TE. Current strategies in scaffold‐guided TE approaches using polymers of natural origin and their composites are elaborated. Innovative modification techniques in creating functional materials for advanced TE applications are presented. Challenges and possible solutions in the technological innovation in factor molecules incorporation and surface functionalization for improving the fabrication of biomaterials scaffolds for cost‐effective TE are also presented. magnified image

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Crossref · 10.1002/mabi.201200409

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Metadata

Authors
Khan, F., & Ahmad, S. R.
Venue
Macromolecular Bioscience
Publisher
Wiley
Published
2013-03-19
Volume
13
Issue
4
Pages
395-421
ISSN
  • 1616-5187 (ISSN-L)
  • 1616-5195
OpenAlex
W2121959572
Cited by
274
References
8
FWCI
13.29
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Polysaccharides and Their Derivatives for Versatile Tissue Engineering Application. https://app.cochat.ai/papers/10.1002/mabi.201200409
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Khan, F., & Ahmad, S. R. (2013). Polysaccharides and Their Derivatives for Versatile Tissue Engineering Application. Macromolecular Bioscience. https://doi.org/10.1002/mabi.201200409

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.