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Cited by 795

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Wound healing, fibroblast heterogeneity, and fibrosis

Open access
Talbott, Heather E., Mascharak, Shamik, Griffin, Michelle, Wan, Derrick C., Longaker, Michael T.·2022·Cell Stem Cell

Abstract

Fibroblasts are highly dynamic cells that play a central role in tissue repair and fibrosis. However, the mechanisms by which they contribute to both physiologic and pathologic states of extracellular matrix deposition and remodeling are just starting to be understood. In this review article, we discuss the current state of knowledge in fibroblast biology and heterogeneity, with a primary focus on the role of fibroblasts in skin wound repair. We also consider emerging techniques in the field, which enable an increasingly nuanced and contextualized understanding of these complex systems, and evaluate limitations of existing methodologies and knowledge. Collectively, this review spotlights a diverse body of research examining an often-overlooked cell type - the fibroblast - and its critical functions in wound repair and beyond.

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Crossref · 10.1016/j.stem.2022.07.006

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Metadata

Authors
Talbott, H. E., Mascharak, S., Griffin, M., Wan, D. C., & Longaker, M. T.
Venue
Cell Stem Cell
Publisher
Elsevier BV
Published
2022-08
Volume
29
Issue
8
Pages
1161-1180
ISSN
  • 1875-9777 (ISSN-L)
  • 1934-5909
OpenAlex
W4289793055
Cited by
795
References
40
FWCI
52.09
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Wound healing, fibroblast heterogeneity, and fibrosis. https://app.cochat.ai/papers/10.1016/j.stem.2022.07.006
The paper
Talbott, H. E., Mascharak, S., Griffin, M., Wan, D. C., & Longaker, M. T. (2022). Wound healing, fibroblast heterogeneity, and fibrosis. Cell Stem Cell. https://doi.org/10.1016/j.stem.2022.07.006

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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).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.