← Leaderboards
Nagib Dahdah
Johns Hopkins University
$1,033,231
Attributed
$4,776,615
Total exposure
2
Grants
0
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $3.1M · FY2021–23$5M$3.8M$2.5M$1.3M$0
'21
'22
'23
Funding mix
By agency
NIH$4,776,615 · 2
By mechanism
R33$3,074,825 · 1
R61$1,701,790 · 1
Top collaborators
- Shelby Kutty4 shared
- Cedric Manlhiot4 shared
- Therese M Giglia3 shared
- Brian W Mccrindle3 shared
- Benjamin Barnes1 shared
Most similar at Johns Hopkins University
Same institution · by research overlap
- Elana Fertig$10,275,542
- Jennifer Hartt Elisseeff$18,978,528
- Brock A. Wester$10,280,878
- David A Sack$10,059,713
- Susumu Mori$21,124,041
Others in their field
Other Emerging Leaders on “Covid-19 Patient”
- Beth Baseler · Leidos Biomedical Research, Inc.$105,136,677
- Mark Marino · Venturewell$49,647,567
- George Robert Painter · University Of Alabama At Birmingham$27,619,145
- Scott Fry$21,470,000
- Gina Montealegre · Leidos Biomedical Research, Inc.$19,781,641
- Greg Witham · Anp Technologies, Inc.$19,727,817
Research focus
Covid-19 PatientData Collection2019-NcovCovid-19 PandemicAdverse OutcomeApplication Programming InterfaceAffectBenignBiological MarkersAlgorithm DevelopmentAlgorithmsChildChildhoodClinical DataClinical Decision SupportClinical Decision Support SystemsClinical DevelopmentClinical ManagementClinical PredictorsCollaborationsComplexConsultationsCoronavirus DiseaseData Science
Grant awards (4)
A data science approach to identify and manage Multisystem Inflammatory Syndrome in Children (MIS-C) associated with SARS-CoV-2 infection and Kawasaki disease in pediatric patients$1,558,153
R33 · FY2023 · HD
A data science approach to identify and manage Multisystem Inflammatory Syndrome in Children (MIS-C) associated with SARS-CoV-2 infection and Kawasaki disease in pediatric patients$1,516,672
R33 · FY2023 · HD
A data science approach to identify and manage Multisystem Inflammatory Syndrome in Children (MIS-C) associated with SARS-CoV-2 infection and Kawasaki disease in pediatric patients$783,833
R61 · FY2022 · HD
A data science approach to identify and manage Multisystem Inflammatory Syndrome in Children (MIS-C) associated with SARS-CoV-2 infection and Kawasaki disease in pediatric patients$917,957
R61 · FY2021 · HD