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Cited by 488

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Bacterial interactions in dental biofilm

Open access
Huang, Ruijie, Li, Mingyun, Gregory, Richard L.·2011·Virulence

Abstract

Biofilms are masses of microorganisms that bind to and multiply on a solid surface, typically with a fluid bathing the microbes. The microorganisms that are not attached but are free floating in an aqueous environment are termed planktonic cells. Traditionally, microbiology research has addressed results from planktonic bacterial cells. However, many recent studies have indicated that biofilms are the preferred form of growth of most microbes and particularly those of a pathogenic nature. Biofilms on animal hosts have significantly increased resistance to various antimicrobials compared to planktonic cells. These microbial communities form microcolonies that interact with each other using very sophisticated communication methods (i.e., quorum-sensing). The development of unique microbiological tools to detect and assess the various biofilms around us is a tremendously important focus of research in many laboratories. In the present review, we discuss the major biofilm mechanisms and the interactions among oral bacteria.

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Metadata

Authors
Huang, R., Li, M., & Gregory, R. L.
Venue
Virulence
Published
2011-09
Volume
2
Issue
5
Pages
435-444
ISSN
  • 2150-5594 (ISSN-L)
  • 2150-5608
OpenAlex
W2063051937
Cited by
488
References
89
FWCI
4.11
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Bacterial interactions in dental biofilm. https://app.cochat.ai/papers/10.4161/viru.2.5.16140
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Huang, R., Li, M., & Gregory, R. L. (2011). Bacterial interactions in dental biofilm. Virulence. https://doi.org/10.4161/viru.2.5.16140

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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.