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Cited by 448

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Nanomaterials for Wound Healing and Infection Control

Open access
Mihai, Mara Madalina, Dima, Monica Beatrice, Dima, Bogdan, Holban, Alina Maria·2019·Materials

Abstract

Wound healing has been intensely studied in order to develop an “ideal” technique that achieves expeditious recovery and reduces scarring to the minimum, thus ensuring function preservation. The classic approach to wound management is represented by topical treatments, such as antibacterial or colloidal agents, in order to prevent infection and promote a proper wound-healing process. Nanotechnology studies submicroscopic particles (maximum diameter of 100 nm), as well as correlated phenomena. Metal nanoparticles (e.g., silver, gold, zinc) are increasingly being used in dermatology, due to their beneficial effect on accelerating wound healing, as well as treating and preventing bacterial infections. Other benefits include: ease of use, less frequent dressing changes and a constantly moist wound environment. This review highlights recent findings regarding nanoparticle application in wound management.

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Registry

Crossref · 10.3390/ma12132176

Cites

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Citations

Cites

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Metadata

Authors
Mihai, M. M., Dima, M. B., Dima, B., & Holban, A. M.
Venue
Materials
Publisher
MDPI AG
Published
2019-07-06
Volume
12
Issue
13
Pages
2176
ISSN
1996-1944 (ISSN-L)
OpenAlex
W2955027989
Cited by
448
References
56
FWCI
28.45
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Nanomaterials for Wound Healing and Infection Control. https://app.cochat.ai/papers/10.3390/ma12132176
The paper
Mihai, M. M., Dima, M. B., Dima, B., & Holban, A. M. (2019). Nanomaterials for Wound Healing and Infection Control. Materials. https://doi.org/10.3390/ma12132176

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.