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Cited by 386

The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.

Hyaluronan biology: A complex balancing act of structure, function, location and context

Open access
Garantziotis, Stavros, Savani, Rashmin C.·2019·Matrix Biology

Abstract

Cell-matrix interactions are fundamental to many developmental, homeostatic, immune and pathologic processes. Hyaluronan (HA), a critical component of the extracellular matrix (ECM) that regulates normal structural integrity and development, also regulates tissue responses during injury, repair, and regeneration. Though simple in its primary structure, HA regulates biological responses in a highly complex manner with balanced contributions from its molecular size and concentration, synthesis versus enzymatic and/or oxidative-nitrative fragmentation, interactions with key HA binding proteins and cell associated receptors, and its cell context-specific signaling. This review highlights the different, but inter-related factors that dictate the biological activity of HA and introduces the overarching themes that weave throughout this special issue of Matrix Biology on hyaluronan.

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Crossref · 10.1016/j.matbio.2019.02.002

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Metadata

Authors
Garantziotis, S., & Savani, R. C.
Venue
Matrix Biology
Publisher
Elsevier BV
Published
2019-05
Volume
78-79
Pages
1-10
ISSN
0945-053X (ISSN-L)
OpenAlex
W2918155223
Cited by
386
References
100
FWCI
15.74
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Hyaluronan biology: A complex balancing act of structure, function, location and context. https://app.cochat.ai/papers/10.1016/j.matbio.2019.02.002
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Garantziotis, S., & Savani, R. C. (2019). Hyaluronan biology: A complex balancing act of structure, function, location and context. Matrix Biology. https://doi.org/10.1016/j.matbio.2019.02.002

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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.