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Cited by 194

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

TRP Channels in Skin Biology and Pathophysiology

Open access
Caterina, Michael, Pang, Zixuan·2016·Pharmaceuticals

Abstract

Ion channels of the Transient Receptor Potential (TRP) family mediate the influx of monovalent and/or divalent cations into cells in response to a host of chemical or physical stimuli. In the skin, TRP channels are expressed in many cell types, including keratinocytes, sensory neurons, melanocytes, and immune/inflammatory cells. Within these diverse cell types, TRP channels participate in physiological processes ranging from sensation to skin homeostasis. In addition, there is a growing body of evidence implicating abnormal TRP channel function, as a product of excessive or deficient channel activity, in pathological skin conditions such as chronic pain and itch, dermatitis, vitiligo, alopecia, wound healing, skin carcinogenesis, and skin barrier compromise. These diverse functions, coupled with the fact that many TRP channels possess pharmacologically accessible sites, make this family of proteins appealing therapeutic targets for skin disorders.

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Crossref · 10.3390/ph9040077

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Metadata

Authors
Caterina, M., & Pang, Z.
Venue
Pharmaceuticals
Publisher
MDPI AG
Published
2016-12-14
Volume
9
Issue
4
Pages
77
ISSN
1424-8247 (ISSN-L)
OpenAlex
W2562021066
Cited by
194
References
3
FWCI
10.38
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: TRP Channels in Skin Biology and Pathophysiology. https://app.cochat.ai/papers/10.3390/ph9040077
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Caterina, M., & Pang, Z. (2016). TRP Channels in Skin Biology and Pathophysiology. Pharmaceuticals. https://doi.org/10.3390/ph9040077

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.