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Cited by 255

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Immunity to Respiratory Viruses

Kohlmeier, Jacob E., Woodland, David L.·2009·Annual Review of Immunology

Abstract

The respiratory tract is characterized by an extensive surface area that is in direct contact with the environment, posing a significant problem for effective immune surveillance. Yet most respiratory pathogens are quickly recognized and controlled by a coordinated response involving the innate and adaptive arms of the immune system. The investigation of pulmonary immunity to respiratory viruses during a primary infection has demonstrated that multiple innate and adaptive immune mechanisms are necessary for efficient antiviral responses, and the inhibition of any single mechanism can have disastrous consequences for the host. Furthermore, the investigation of recall responses in the lung has shown that protection from a secondary challenge infection is a complex and elegant process that occurs in distinct stages. In this review, we discuss recent advances that describe the roles of individual components during primary and secondary responses to respiratory virus infections and how these discoveries have added to our understanding of antiviral immunity in the lung.

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Crossref · 10.1146/annurev.immunol.021908.132625

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Metadata

Authors
Kohlmeier, J. E., & Woodland, D. L.
Venue
Annual Review of Immunology
Published
2009-04-01
Volume
27
Issue
1
Pages
61-82
ISSN
  • 0732-0582 (ISSN-L)
  • 1545-3278
OpenAlex
W2099926545
Cited by
255
References
13
FWCI
1.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Immunity to Respiratory Viruses. https://app.cochat.ai/papers/10.1146/annurev.immunol.021908.132625
The paper
Kohlmeier, J. E., & Woodland, D. L. (2009). Immunity to Respiratory Viruses. Annual Review of Immunology. https://doi.org/10.1146/annurev.immunol.021908.132625

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.