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Cited by 202

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

The Tape-Stripping Technique as a Method for Drug Quantification in Skin

Open access
Escobar-Chavez, Jose Juan, Merino-Sanjuán, V., López-Cervantes, M., Urban-Morlan, Z., Piñón-Segundo, E., Quintanar-Guerrero, D., Ganem-Quintanar, A.·2008·Journal of Pharmacy & Pharmaceutical Sciences

Abstract

Quantification of drugs within the skin is essential for topical and transdermal delivery research. Over the last two decades, horizontal sectioning, consisting of tape stripping throughout the stratum corneum, has become one of the traditional investigative techniques. Tape stripping of human stratum corneum is widely used as a method for studying the kinetics and penetration depth of drugs. This paper shows the applications of the tape stripping technique to quantify drug penetration through the skin, underlining its versatile application in the area of topical and transdermal drugs.

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Registry

Crossref · 10.18433/j3201z

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Metadata

Authors
Escobar-Chavez, J. J., Merino-Sanjuán, V., López-Cervantes, M., Urban-Morlan, Z., Piñón-Segundo, E., Quintanar-Guerrero, D., & Ganem-Quintanar, A.
Venue
Journal of Pharmacy & Pharmaceutical Sciences
Published
2008-03-26
Volume
11
Issue
1
Pages
104
ISSN
1482-1826 (ISSN-L)
OpenAlex
W2132332587
Cited by
202
References
4
FWCI
4.60
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The Tape-Stripping Technique as a Method for Drug Quantification in Skin. https://app.cochat.ai/papers/10.18433/j3201z
The paper
Escobar-Chavez, J. J., Merino-Sanjuán, V., López-Cervantes, M., Urban-Morlan, Z., Piñón-Segundo, E., Quintanar-Guerrero, D., & Ganem-Quintanar, A. (2008). The Tape-Stripping Technique as a Method for Drug Quantification in Skin. Journal of Pharmacy & Pharmaceutical Sciences. https://doi.org/10.18433/j3201z

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.