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Cited by 1,096

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Controlling Cell Behavior Electrically: Current Views and Future Potential

McCaig, Colin D., Rajnicek, Ann M., Song, Bing, Zhao, Min·2005·Physiological Reviews

Abstract

Direct-current (DC) electric fields are present in all developing and regenerating animal tissues, yet their existence and potential impact on tissue repair and development are largely ignored. This is primarily due to ignorance of the phenomenon by most researchers, some technically poor early studies of the effects of applied fields on cells, and widespread misunderstanding of the fundamental concepts that underlie bioelectricity. This review aims to resolve these issues by describing: 1) the historical context of bioelectricity, 2) the fundamental principles of physics and physiology responsible for DC electric fields within cells and tissues, 3) the cellular mechanisms for the effects of small electric fields on cell behavior, and 4) the clinical potential for electric field treatment of damaged tissues such as epithelia and the nervous system.

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Integrity signals

Registry

Crossref · 10.1152/physrev.00020.2004

Cites

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Metadata

Authors
McCaig, C. D., Rajnicek, A. M., Song, B., & Zhao, M.
Venue
Physiological Reviews
Published
2005-07
Volume
85
Issue
3
Pages
943-978
ISSN
  • 0031-9333 (ISSN-L)
  • 1522-1210
OpenAlex
W2118661742
Cited by
1,096
References
3
FWCI
1.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Controlling Cell Behavior Electrically: Current Views and Future Potential. https://app.cochat.ai/papers/10.1152/physrev.00020.2004
The paper
McCaig, C. D., Rajnicek, A. M., Song, B., & Zhao, M. (2005). Controlling Cell Behavior Electrically: Current Views and Future Potential. Physiological Reviews. https://doi.org/10.1152/physrev.00020.2004

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.