The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Nanotechnology-Driven Therapeutic Interventions in Wound Healing: Potential Uses and Applications
Open accessAbstract
The chronic nature and associated complications of nonhealing wounds have led to the emergence of nanotechnology-based therapies that aim at facilitating the healing process and ultimately repairing the injured tissue. A number of engineered nanotechnologies have been proposed demonstrating unique properties and multiple functions that address specific problems associated with wound repair mechanisms. In this outlook, we highlight the most recently developed nanotechnology-based therapeutic agents and assess the viability and efficacy of each treatment, with emphasis on chronic cutaneous wounds. Herein we explore the unmet needs and future directions of current technologies, while discussing promising strategies that can advance the wound-healing field.
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Cites
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Cited by
Nanomaterials for Wound Healing and Infection Control
Mihai, M. M., Dima, M. B., Dima, B., & Holban, A. M. (2019) · Materials · doi:10.3390/ma12132176 · Cited by 448
A review on nanoparticle based treatment for wound healing
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Metadata
- Authors
- Hamdan, S., Pastar, I., Drakulich, S., Dikici, E., Tomic-Canic, M., Deo, S., & Daunert, S.
- Venue
- ACS Central Science
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-02-27
- Volume
- 3
- Issue
- 3
- Pages
- 163-175
- ISSN
- 2374-7943 (ISSN-L)
- 2374-7951
- OpenAlex
- W2593763693
- Cited by
- 525
- References
- 8
- FWCI
- 28.13
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Hamdan, S., Pastar, I., Drakulich, S., Dikici, E., Tomic-Canic, M., Deo, S., & Daunert, S. (2017). Nanotechnology-Driven Therapeutic Interventions in Wound Healing: Potential Uses and Applications. ACS Central Science. https://doi.org/10.1021/acscentsci.6b00371
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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.
