← Leaderboards
Cedric Manlhiot
Johns Hopkins University
$1,278,857
Attributed
$5,022,241
Total exposure
3
Grants
3
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 $3.2M · FY2021–24$5M$3.8M$2.5M$1.3M$0
'21
'22
'23
'24
Funding mix
By agency
NIH$5,022,241 · 3
By mechanism
R33$3,074,825 · 1
R61$1,701,790 · 1
R21$245,626 · 1
Top collaborators
- Nagib Dahdah4 shared
- Shelby Kutty4 shared
- Therese M Giglia3 shared
- Brian W Mccrindle3 shared
- Benjamin Barnes1 shared
Most similar at Johns Hopkins University
Same institution · by research overlap
- David Alan Kass$45,555,857
- Elana Fertig$10,275,542
- Steven Herbert Abman$28,175,515
- Jennifer Hartt Elisseeff$18,978,528
- Brock A. Wester$10,280,878
Others in their field
Other Emerging Leaders on “Affect”
- Chanza Baytop · Westat, Inc.$271,217,917
- Leonard Freedman · Leidos Biomedical Research, Inc.$62,378,387
- Jennifer Marie Suga · Kaiser Foundation Research Institute$29,218,159
- Lynn Briscoe · Leidos Biomedical Research, Inc.$27,788,199
- George Robert Painter · University Of Alabama At Birmingham$27,619,145
- Jessica Brooke Langbaum · Banner Health$22,633,312
Research focus
AffectProbabilityAdverse OutcomeDesignPerformancePredictive ModelingFutureCovid-19 PatientCoronavirus DiseaseData CollectionConsultationsAlgorithmsApplication Programming InterfaceCovid-19 PandemicAlgorithm DevelopmentBiological MarkersCollaborationsClinical Decision SupportClinical Decision Support SystemsClinical DevelopmentClinical ManagementClinical PredictorsClinical DataBenign
Grant awards (6)
Computational simulation of the potential improvement in clinical outcomes of cardiovascular diseases with the use of a personalized predictive medicine approach$122,813
R21 · FY2024 · HL · contact PI
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 · contact PI
Computational simulation of the potential improvement in clinical outcomes of cardiovascular diseases with the use of a personalized predictive medicine approach$122,813
R21 · FY2023 · HL · contact PI
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 · contact PI
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 · contact PI