The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Animal models for percutaneous absorption
Abstract
Animal models are important tools to predict human in vivo percutaneous absorption/penetration. Monkey, pig, rat, rabbit, guinea pig, hairless rodents, such as hairless rat, hairless mouse, hairless guinea pig and hairless dog, are among the most used animals for this purpose. Each animal model has its own advantages and weakness or limitation. To better correlate animal data with human skin absorption, we need to be familiar with each animal model's characteristics as well as experimental method and condition. We reviewed the original papers published after 1993 that described permeability of both animal skin and human skin. It showed that monkey, pig and hairless guinea pig are more predictive of human skin absorption/penetration and common laboratory animals, such as rat, rabbit, guinea pig, generally overestimate human skin absorption/penetration. Copyright © 2014 John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Kay, H. (1980) · Journal of Clinical Pathology · doi:10.1136/jcp.33.6.608-c · Cited by 3,809
Transdermal skin delivery: Predictions for humans from in vivo, ex vivo and animal models☆
GODIN, B., & TOUITOU, E. (2007) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2007.07.004 · Cited by 675
Porcine ear skin: an in vitro model for human skin
Jacobi, U., Kaiser, M., Toll, R., Mangelsdorf, S., Audring, H., Otberg, N., Sterry, W., & Lademann, J. (2007) · Skin Research and Technology · doi:10.1111/j.1600-0846.2006.00179.x · Cited by 536
Skin Permeability In Vivo: Comparison in Rat, Rabbit, Pig and Man
Bartek, M. J., Labudde, J. A., & Maibach, H. I. (1972) · Journal of Investigative Dermatology · doi:10.1111/1523-1747.ep12538909 · Cited by 510
Self-citationRegional Variation in Percutaneous Penetration in Man
Maibach, H. I., Feldmann, R. J., Milby, T. H., & Serat, W. F. (1971) · Archives of Environmental Health: An International Journal · doi:10.1080/00039896.1971.10665987 · Cited by 400
Self-citationSimon, G. A., & Maibach, H. I. (2000) · Skin Pharmacology and Physiology · doi:10.1159/000029928 · Cited by 389
Self-citationPercutaneous penetration of some pesticides and herbicides in man
Feldmann, R. J., & Maibach, H. I. (1974) · Toxicology and Applied Pharmacology · doi:10.1016/0041-008x(74)90137-9 · Cited by 380
Self-citationPig and guinea pig skin as surrogates for human in vitro penetration studies: A quantitative review
Barbero, A. M., & Frasch, H. F. (2009) · Toxicology in Vitro · doi:10.1016/j.tiv.2008.10.008 · Cited by 351
Cutaneous Pharmacokinetics: 10 Steps to Percutaneous Absorption
Wester, R. C., & Maibach, H. I. (1983) · Drug Metabolism Reviews · doi:10.3109/03602538308991388 · Cited by 232
Self-citationMonteiro-Riviere, N. A., Bristol, D. G., Manning, T. O., Rogers, R. A., & Riviere, J. E. (1990) · Journal of Investigative Dermatology · doi:10.1111/1523-1747.ep12505567 · Cited by 231
Cited by
Sadrieh, N., Wokovich, A. M., Gopee, N. V., Zheng, J., Haines, D., Parmiter, D., Siitonen, P. H., Cozart, C. R., Patri, A. K., McNeil, S. E., et al. (2010) · Toxicological Sciences · doi:10.1093/toxsci/kfq041 · Cited by 309
Modelling the Complexity of Human Skin In Vitro
Hofmann, E., Schwarz, A., Fink, J., Kamolz, L.-P., & Kotzbeck, P. (2023) · Biomedicines · doi:10.3390/biomedicines11030794 · Cited by 129
Human In Vitro Skin Models for Wound Healing and Wound Healing Disorders
Hofmann, E., Fink, J., Pignet, A.-L., Schwarz, A., Schellnegger, M., Nischwitz, S. P., Holzer-Geissler, J. C. J., Kamolz, L.-P., & Kotzbeck, P. (2023) · Biomedicines · doi:10.3390/biomedicines11041056 · Cited by 104
Skin models of cutaneous toxicity, transdermal transport and wound repair
Vilela de Sousa, I., Ferreira, M. J. S., Bebiano, L. B., Simões, S., Matos, A. F., Pereira, R. F., & Granja, P. L. (2023) · Burns & Trauma · doi:10.1093/burnst/tkad014 · Cited by 17
Metadata
- Authors
- Jung, E. C., & Maibach, H. I.
- Venue
- Journal of Applied Toxicology
- Publisher
- Wiley
- Published
- 2014-10-27
- Volume
- 35
- Issue
- 1
- Pages
- 1-10
- ISSN
- 0260-437X (ISSN-L)
- 1099-1263
- OpenAlex
- W1530456667
- Cited by
- 291
- References
- 50
- FWCI
- 9.79
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Animal models for percutaneous absorption. https://app.cochat.ai/papers/10.1002/jat.3004
- The paper
- Jung, E. C., & Maibach, H. I. (2015). Animal models for percutaneous absorption. Journal of Applied Toxicology. https://doi.org/10.1002/jat.3004
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.
