Early prediction of antigenic transitions for influenza A/H3N2 is a research paper published in PLoS Computational Biology (2020). On theSindex it has a DataRank of 0. It has been cited 24 times.
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NIGMS NIH HHS
Grant: U01 GM087719
NIGMS NIH HHS
Grant: R35 GM119774
NIAID NIH HHS
Grant: U19 AI117891
National Institutes of Health
Grant: 5R35GM119774-03
Real-time tracking of virus evolution for vaccine strain selection and epidemiological investigation
National Institutes of Health
Grant: 5U01GM087719-02
Impacts of Individual and Social Behavior on Influenza Dynamics and Control
National Institutes of Health
Grant: 5U19AI117891-02
Dynamics and Evolution of Immune Responses to Influenza Viruses
FWCI
2.19
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
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Sustainable Development Goals