Longitudinally monitored immune biomarkers predict the timing of COVID-19 outcomes is a research paper published in PLoS Computational Biology (2022). On theSindex it has a DataRank of 0. It has been cited 20 times.
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National Institutes of Health
Grant: R01 AI132633
National Institutes of Health
Grant: R01-AI125462
National Institutes of Health
Grant: R21AI141367
U.S. Department of Defense
Grant: CA171019
National Institutes of Health
Grant: 2T32GM007288-45
Medical Scientist Training Program
Albert Einstein College of Medicine
Grant: COVID-19 pilot project grant
NIAID NIH HHS
Grant: T32 AI070117
NIAID NIH HHS
Grant: R01 AI125462
NIGMS NIH HHS
Grant: T32 GM007288
NIGMS NIH HHS
Grant: T32 GM149438
NIAID NIH HHS
Grant: F30 AI150055
National Institutes of Health
Grant: 2T32AI070117-13
Geographic Medicine and Emerging Infections
National Institutes of Health
Grant: 5R21AI141367-03
Plasmodium phospholipase A2s as potential novel drug targets
National Institutes of Health
Grant: 5R01AI132633-04
Dissecting the receptor-mediated infection mechanisms of hantaviruses
National Institutes of Health
Grant: 5R01AI125462-04
Engineered, multispecific antibodies as broad anti-filovirus therapeutics
National Research Council
Pew Charitable Trusts
FWCI
1.93
Citation Percentile
0.9%
Influential Citations
3
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals