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Cited by 503

The DOI matches its Crossref record; 267 of the 267 references it cites were found in a registry or an index.

Pathogenicity of Enterococci

Open access
Fiore, Elizabeth, Van Tyne, Daria, Gilmore, Michael S.·2019·Microbiology Spectrum

Abstract

Enterococci are unusually well adapted for survival and persistence in a variety of adverse environments, including on inanimate surfaces in the hospital environment and at sites of infection. This intrinsic ruggedness undoubtedly played a role in providing opportunities for enterococci to interact with other overtly drug-resistant microbes and acquire additional resistances on mobile elements. The rapid rise of antimicrobial resistance among hospital-adapted enterococci has rendered hospital-acquired infections a leading therapeutic challenge. With about a quarter of a genome of additional DNA conveyed by mobile elements, there are undoubtedly many more properties that have been acquired that help enterococci persist and spread in the hospital setting and cause diseases that have yet to be defined. Much remains to be learned about these ancient and rugged microbes, particularly in the area of pathogenic mechanisms involved with human diseases.

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Crossref · 10.1128/microbiolspec.gpp3-0053-2018

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Metadata

Authors
Fiore, E., Van Tyne, D., & Gilmore, M. S.
Venue
Microbiology Spectrum
Published
2019-07-19
Volume
7
Issue
4
ISSN
2165-0497 (ISSN-L)
OpenAlex
W1591477834
Cited by
503
References
267
FWCI
11.04
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Pathogenicity of Enterococci. https://app.cochat.ai/papers/10.1128/microbiolspec.gpp3-0053-2018
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Fiore, E., Van Tyne, D., & Gilmore, M. S. (2019). Pathogenicity of Enterococci. Microbiology Spectrum. https://doi.org/10.1128/microbiolspec.gpp3-0053-2018

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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.