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Cited by 438

The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.

Crosslinking method of hyaluronic-based hydrogel for biomedical applications

Open access
Khunmanee, Sureerat, Jeong, Younghyen, Park, Hansoo·2017·Journal of Tissue Engineering

Abstract

In the field of tissue engineering, there is a need for advancement beyond conventional scaffolds and preformed hydrogels. Injectable hydrogels have gained wider admiration among researchers as they can be used in minimally invasive surgical procedures. Injectable gels completely fill the defect area and have good permeability and hence are promising biomaterials. The technique can be effectively applied to deliver a wide range of bioactive agents, such as drugs, proteins, growth factors, and even living cells. Hyaluronic acid is a promising candidate for the tissue engineering field because of its unique physicochemical and biological properties. Thus, this review provides an overview of various methods of chemical and physical crosslinking using different linkers that have been investigated to develop the mechanical properties, biodegradation, and biocompatibility of hyaluronic acid as an injectable hydrogel in cell scaffolds, drug delivery systems, and wound healing applications.

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Metadata

Authors
Khunmanee, S., Jeong, Y., & Park, H.
Venue
Journal of Tissue Engineering
Published
2017-01-01
Volume
8
Pages
2041731417726464-2041731417726464
ISSN
2041-7314 (ISSN-L)
OpenAlex
W2752377971
Cited by
438
References
87
FWCI
8.88
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Crosslinking method of hyaluronic-based hydrogel for biomedical applications. https://app.cochat.ai/papers/10.1177/2041731417726464
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Khunmanee, S., Jeong, Y., & Park, H. (2017). Crosslinking method of hyaluronic-based hydrogel for biomedical applications. Journal of Tissue Engineering. https://doi.org/10.1177/2041731417726464

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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).

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