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Cited by 473

The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.

Biofilms in Chronic Wounds: Pathogenesis and Diagnosis

Wu, Yuan-Kun, Cheng, Nai-Chen, Cheng, Chao-Min·2019·Trends in Biotechnology

Abstract

Chronic non-healing wounds have become a major worldwide healthcare burden. The impact of biofilms on chronic wound infection is well established. Despite increasing understanding of the underlying mechanism of biofilm formation in chronic wounds, current strategies for biofilm diagnosis in chronic wounds are still far from ideal. In this review, we briefly summarize the mechanism of biofilm formation and focus on current diagnostic approaches of chronic wound biofilms based on morphology, microbiology, and molecular assays. Innovative biotechnological approaches, such as wound blotting and transcriptomic analysis, may further shed light on this unmet clinical need. The continuous development of these sophisticated diagnostic approaches can markedly contribute to the future implementation of point-of-care biofilm detection in chronic wound care.

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Crossref · 10.1016/j.tibtech.2018.10.011

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Metadata

Authors
Wu, Y.-K., Cheng, N.-C., & Cheng, C.-M.
Venue
Trends in Biotechnology
Publisher
Elsevier BV
Published
2019-05
Volume
37
Issue
5
Pages
505-517
ISSN
0167-7799 (ISSN-L)
OpenAlex
W2903119425
Cited by
473
References
68
FWCI
4.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Biofilms in Chronic Wounds: Pathogenesis and Diagnosis. https://app.cochat.ai/papers/10.1016/j.tibtech.2018.10.011
The paper
Wu, Y.-K., Cheng, N.-C., & Cheng, C.-M. (2019). Biofilms in Chronic Wounds: Pathogenesis and Diagnosis. Trends in Biotechnology. https://doi.org/10.1016/j.tibtech.2018.10.011

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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.