The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Scarless Fetal Wound Healing: A Basic Science Review
Open accessAbstract
SUMMARY: Scar formation is a major medical problem that can have devastating consequences for patients. The adverse physiological and psychological effects of scars are broad, and there are currently no reliable treatments to prevent scarring. In contrast to adult wounds, early gestation fetal skin wounds repair rapidly and in the absence of scar formation. Despite extensive investigation, the exact mechanisms of scarless fetal wound healing remain largely unknown. For some time, it has been known that significant differences exist among the extracellular matrix, inflammatory response, cellular mediators, and gene expression profiles of fetal and postnatal wounds. These differences may have important implications in scarless wound repair.
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Self-citation
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Chronic Wound Healing: A Review of Current Management and Treatments
Han, G., & Ceilley, R. (2017) · Advances in Therapy · doi:10.1007/s12325-017-0478-y · Cited by 2,096
Advances in skin grafting and treatment of cutaneous wounds
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Skin tissue engineering: wound healing based on stem-cell-based therapeutic strategies
Nourian Dehkordi, A., Mirahmadi Babaheydari, F., Chehelgerdi, M., & Raeisi Dehkordi, S. (2019) · Stem Cell Research & Therapy · doi:10.1186/s13287-019-1212-2 · Cited by 533
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Song, J. J., & Ott, H. C. (2011) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2011.03.005 · Cited by 501
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Metadata
- Authors
- Larson, B. J., Longaker, M. T., & Lorenz, H. P.
- Venue
- Plastic and Reconstructive Surgery
- Published
- 2010-10
- Volume
- 126
- Issue
- 4
- Pages
- 1172-1180
- ISSN
- 0032-1052 (ISSN-L)
- OpenAlex
- W2060700926
- Cited by
- 454
- References
- 50
- FWCI
- 17.27
- Type
- journal article
- Language
- en
- Open access
- green
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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.