Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy is a research paper published in eLife (2021). On theSindex it has a DataRank of 1.0. It has been cited 40 times, with 24 citing works in its 1-hop citation network.
Scored on demand from live citation data
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Base Score Contribution
0.557
From this paper's citation signal
Citation Network Contribution
0.478
From 18 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 24 citers.
National Institutes of Health
Grant: U01 AI125056
National Institutes of Health
Grant: R01 CA226833
National Institutes of Health
Grant: U54 CA217450
National Institutes of Health
Grant: T32 AI007496
Vanderbilt-Ingram Cancer Center
Grant: P30 CA68485
National Institutes of Health
Grant: R21 AI138077
National Institutes of Health
Grant: U01 TR002625
Vanderbilt University Medical Center
Grant: Michael David Greene Brain Cancer Fund
NCI NIH HHS
Grant: R01 CA249424
NCI NIH HHS
Grant: P30 CA068485
NIAID NIH HHS
Grant: R21 AI160334
National Institutes of Health
Grant: 5U01AI125056-03
Hallmarks of Protective Immunity in Sequential Rhinovirus Infections in Humans
National Institutes of Health
Grant: 5U54CA217450-04
Phenotype Heterogeneity and Dynamics in SCLC
National Institutes of Health
Grant: 5T32AI007496-27
Interdisciplinary Training Program in Immunology
National Institutes of Health
Grant: 5U01TR002625-02
BU-CMD Chemical Library Consortium: Fostering Collaborations between Chemists and Biologists for Translational Discovery
National Institutes of Health
Grant: 3P30CA068485-23S2
Cancer Center Support Grant
National Institutes of Health
Grant: 5R01CA226833-02
Single Cell Methods for Bioeffector Discovery and Analysis
National Institutes of Health
Grant: 5R21AI138077-02
Exploring Amplified Th1 Responses and a Role for the IgE/Interferon Axis in Allergic Asthmatics Infected with Rhinovirus
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Sustainable Development Goals