The DOI matches its Crossref record.
Transverse Microscopic Anatomy of the Human Scalp: A Basis for a Morphometric Approach to Disorders of the Hair Follicle
Abstract
• Transverse sections of cylindrical scalp biopsy specimens can provide excellent samples for histologic, quantitative morphometric analyses of the follicles and hair. This study describes and illustrates the morphologic details of the normal transverse anatomy of follicular structures, including the various phases of the normal hair cycle. (Arch Dermatol1984;120:449-456)
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Cited by
Escobar-Morreale, H. F., Carmina, E., Dewailly, D., Gambineri, A., Kelestimur, F., Moghetti, P., Pugeat, M., Qiao, J., Wijeyaratne, C. N., Witchel, S. F., et al. (2012) · Human Reproduction Update · doi:10.1093/humupd/dmr042 · Cited by 494
Penetration Profile of Microspheres in Follicular Targeting of Terminal Hair Follicles
Toll, R., Jacobi, U., Richter, H., Lademann, J., Schaefer, H., & Blume-Peytavi, U. (2004) · Journal of Investigative Dermatology · doi:10.1111/j.0022-202x.2004.22717.x · Cited by 344
Metadata
- Authors
- Headington, J. T.
- Venue
- Archives of Dermatology
- Publisher
- American Medical Association (AMA)
- Published
- 1984-04-01
- Volume
- 120
- Issue
- 4
- Pages
- 449
- ISSN
- 0003-987X (ISSN-L)
- OpenAlex
- W4301794779
- Cited by
- 371
- References
- 0
- FWCI
- 2.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Transverse Microscopic Anatomy of the Human Scalp: A Basis for a Morphometric Approach to Disorders of the Hair Follicle. https://app.cochat.ai/papers/10.1001/archderm.1984.01650400031009
- The paper
- Headington, J. T. (1984). Transverse Microscopic Anatomy of the Human Scalp: A Basis for a Morphometric Approach to Disorders of the Hair Follicle. Archives of Dermatology. https://doi.org/10.1001/archderm.1984.01650400031009
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.