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Cited by 273

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

A systematic approach to virus–virus interactions

Open access
DaPalma, T., Doonan, B.P., Trager, N.M., Kasman, L.M.·2010·Virus Research
DOI 10.1016/j.virusres.2010.01.002
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Abstract

A virus–virus interaction is a measurable difference in the course of infection of one virus as a result of a concurrent or prior infection by a different species or strain of virus. Many such interactions have been discovered by chance, yet they have rarely been studied systematically. Increasing evidence suggests that virus–virus interactions are common and may be critical to understanding viral pathogenesis in natural hosts. In this review we propose a system for classifying virus–virus interactions by organizing them into three main categories: (1) direct interactions of viral genes or gene products, (2) indirect interactions that result from alterations in the host environment, and (3) immunological interactions. We have so far identified 15 subtypes of interaction and assigned each to one of these categories. It is anticipated that this framework will provide for a more systematic approach to investigating virus–virus interactions, both at the cellular and organismal levels.

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Metadata

Authors
DaPalma, T., Doonan, B. P., Trager, N. M., & Kasman, L. M.
Venue
Virus Research
Publisher
Elsevier BV
Published
2010-04
Volume
149
Issue
1
Pages
1-9
ISSN
0168-1702 (ISSN-L)
DOI
10.1016/j.virusres.2010.01.002
OpenAlex
W2075427427
Cited by
273
References
88
FWCI
3.98
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A systematic approach to virus–virus interactions. https://app.cochat.ai/papers/10.1016/j.virusres.2010.01.002
The paper
DaPalma, T., Doonan, B. P., Trager, N. M., & Kasman, L. M. (2010). A systematic approach to virus–virus interactions. Virus Research. https://doi.org/10.1016/j.virusres.2010.01.002

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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.