A network medicine approach to investigation and population-based validation of disease manifestations and drug repurposing for COVID-19 is a research paper published in PLoS Biology (2020). On theSindex it has a DataRank of 0. It has been cited 186 times.
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Foundation for the National Institutes of Health
Grant: R00HL138272
Foundation for the National Institutes of Health
Grant: R01AG066707
Foundation for the National Institutes of Health
Grant: 3R01AG066707-01S1
Endophenotype Network-based Approaches to Prediction and Population-based Validation of in Silico Drug Repurposing for Alzheimer's Disease
NHLBI NIH HHS
Grant: K08 HL133381
NCI NIH HHS
Grant: R35 CA200422
NCI NIH HHS
Grant: R35 CA232097
National Institutes of Health
Grant: 5R00HL138272-03
An individualized network medicine infrastructure for precision cardio-oncology
Wellcome Trust
Grant: unidentified
unidentified
FWCI
11.85
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment
Additional file 1 of Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment
Additional file 5 of Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment
Additional file 5 of Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment
Additional file 1 of Co-distribution of Light At Night (LAN) and COVID-19 incidence in the United States
Additional file 1 of Co-distribution of Light At Night (LAN) and COVID-19 incidence in the United States
Additional file 1 of An update on novel approaches for diagnosis and treatment of SARS-CoV-2 infection
Additional file 1 of An update on novel approaches for diagnosis and treatment of SARS-CoV-2 infection