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Cited by 259

The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.

Advances in Hyaluronic Acid for Biomedical Applications

Open access
Yasin, Aqeela, Ren, Ying, Li, Jingan, Sheng, Yulong, Cao, Chang, Zhang, Kun·2022·Frontiers in Bioengineering and Biotechnology

Abstract

Hyaluronic acid (HA) is a large non-sulfated glycosaminoglycan that is the main component of the extracellular matrix (ECM). Because of its strong and diversified functions applied in broad fields, HA has been widely studied and reported previously. The molecular properties of HA and its derivatives, including a wide range of molecular weights but distinct effects on cells, moisture retention and anti-aging, and CD44 targeting, promised its role as a popular participant in tissue engineering, wound healing, cancer treatment, ophthalmology, and cosmetics. In recent years, HA and its derivatives have played an increasingly important role in the aforementioned biomedical fields in the formulation of coatings, nanoparticles, and hydrogels. This article highlights recent efforts in converting HA to smart formulation, such as multifunctional coatings, targeted nanoparticles, or injectable hydrogels, which are used in advanced biomedical application.

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Crossref · 10.3389/fbioe.2022.910290

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Metadata

Authors
Yasin, A., Ren, Y., Li, J., Sheng, Y., Cao, C., & Zhang, K.
Venue
Frontiers in Bioengineering and Biotechnology
Published
2022-07-04
Volume
10
Pages
910290-910290
ISSN
2296-4185 (ISSN-L)
OpenAlex
W4283792878
Cited by
259
References
74
FWCI
14.48
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Advances in Hyaluronic Acid for Biomedical Applications. https://app.cochat.ai/papers/10.3389/fbioe.2022.910290
The paper
Yasin, A., Ren, Y., Li, J., Sheng, Y., Cao, C., & Zhang, K. (2022). Advances in Hyaluronic Acid for Biomedical Applications. Frontiers in Bioengineering and Biotechnology. https://doi.org/10.3389/fbioe.2022.910290

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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.