← Leaderboards
Therese M Giglia
Johns Hopkins University
$643,692
Attributed
$3,218,462
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 $1.5M · FY2021–23$2M$1.5M$1M$500K$0
'21
'22
'23
Funding mix
By agency
NIH$3,218,462 · 2
By mechanism
R61$1,701,790 · 1
R33$1,516,672 · 1
Top collaborators
- Nagib Dahdah3 shared
- Shelby Kutty3 shared
- Cedric Manlhiot3 shared
- Brian W Mccrindle3 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 “Data Collection”
- Sonia M Thomas · Research Triangle Institute$700,865,642
- Tracy L Nolen · Research Triangle Institute$474,487,152
- Leonard Freedman · Leidos Biomedical Research, Inc.$105,245,530
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$104,001,866
- Marlene Ann Cooper · Harvard University D/B/A Harvard School Of Public Health$71,439,892
- Nancy Roche · Leidos Biomedical Research, Inc.$39,999,252
Research focus
Data CollectionCovid-19 Pandemic2019-NcovCovid-19 PatientAdverse OutcomeApplication Programming InterfaceAffectBenignBiological MarkersAlgorithm DevelopmentAlgorithmsChildChildhoodClinical DataClinical Decision SupportClinical Decision Support SystemsClinical DevelopmentClinical ManagementClinical PredictorsCollaborationsComplexConsultationsCoronavirus DiseaseData Science
Grant awards (3)
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