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The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Mechanisms of Antimicrobial Resistance in ESKAPE Pathogens

Open access
Santajit, Sirijan, Indrawattana, Nitaya·2016·BioMed Research International

Abstract

The ESKAPE pathogens (Enterococcus faecium,Staphylococcus aureus,Klebsiella pneumoniae,Acinetobacter baumannii,Pseudomonas aeruginosa, and Enterobacter species) are the leading cause of nosocomial infections throughout the world. Most of them are multidrug resistant isolates, which is one of the greatest challenges in clinical practice. Multidrug resistance is amongst the top three threats to global public health and is usually caused by excessive drug usage or prescription, inappropriate use of antimicrobials, and substandard pharmaceuticals. Understanding the resistance mechanisms of these bacteria is crucial for the development of novel antimicrobial agents or other alternative tools to combat these public health challenges. Greater mechanistic understanding would also aid in the prediction of underlying or even unknown mechanisms of resistance, which could be applied to other emerging multidrug resistant pathogens. In this review, we summarize the known antimicrobial resistance mechanisms of ESKAPE pathogens.

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Metadata

Authors
Santajit, S., & Indrawattana, N.
Venue
BioMed Research International
Publisher
Wiley
Published
2016
Volume
2016
Pages
1-8
ISSN
  • 1110-7243 (ISSN-L)
  • 2314-6133
  • 2314-6141
OpenAlex
W2347102183
Cited by
1,641
References
48
FWCI
31.06
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Mechanisms of Antimicrobial Resistance in ESKAPE Pathogens. https://app.cochat.ai/papers/10.1155/2016/2475067
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Santajit, S., & Indrawattana, N. (2016). Mechanisms of Antimicrobial Resistance in ESKAPE Pathogens. BioMed Research International. https://doi.org/10.1155/2016/2475067

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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.