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Cited by 697

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Understanding the Mechanism of Bacterial Biofilms Resistance to Antimicrobial Agents

Open access
Singh, Shriti, Singh, Santosh Kumar, Chowdhury, Indrajit, Singh, Rajesh·2017·The Open Microbiology Journal

Abstract

A biofilm is a group of microorganisms, that causes health problems for the patients with indwelling medical devices via attachment of cells to the surface matrix. It increases the resistance of a microorganism for antimicrobial agents and developed the human infection. Current strategies are removed or prevent the microbial colonies from the medical devices, which are attached to the surfaces. This will improve the clinical outcomes in favor of the patients suffering from serious infectious diseases. Moreover, the identification and inhibition of genes, which have the major role in biofilm formation, could be the effective approach for health care systems. In a current review article, we are highlighting the biofilm matrix and molecular mechanism of antimicrobial resistance in bacterial biofilms.

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Registry

Crossref · 10.2174/1874285801711010053

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Metadata

Authors
Singh, S., Singh, S. K., Chowdhury, I., & Singh, R.
Venue
The Open Microbiology Journal
Published
2017-04-28
Volume
11
Issue
1
Pages
53-62
ISSN
1874-2858 (ISSN-L)
OpenAlex
W2613021898
Cited by
697
References
77
FWCI
20.29
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Understanding the Mechanism of Bacterial Biofilms Resistance to Antimicrobial Agents. https://app.cochat.ai/papers/10.2174/1874285801711010053
The paper
Singh, S., Singh, S. K., Chowdhury, I., & Singh, R. (2017). Understanding the Mechanism of Bacterial Biofilms Resistance to Antimicrobial Agents. The Open Microbiology Journal. https://doi.org/10.2174/1874285801711010053

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.