← Leaderboards
Karl Kuban
Boston Medical Center
$13,457,605
Attributed
$13,457,605
Total exposure
1
Grants
1
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. They are the sole PI on all grants (the two match).
Funding over time
peak $3.7M · FY2011–14$5M$3.8M$2.5M$1.3M$0
'11
'12
'13
'14
Funding mix
By agency
NIH$13,457,605 · 1
By mechanism
U01$13,457,605 · 1
Top collaborators
No co-investigators on record.
Most similar at Boston Medical Center
Same institution · by research overlap
- Sunah S Hwang$3,045,816
- Elisha Wachman$6,271,367
- Kirsten Austad$485,993
- Barbara Susanne Nikolajczyk$8,738,431
- Robert Bruce Saper$6,172,379
Others in their field
Top investigators on “Adverse Effects”
- James Dennis Neaton · Northwestern University$203,539,316
- John M Lachin · George Washington University$139,991,329
- Elizabeth A Thom · George Washington University$126,101,581
- David M Nathan · Massachusetts Institute Of Technology$120,651,895
- Constance Ann Benson · University Of California, San Diego$114,806,215
- Wafaa M. El-Sadr · Columbia University Health Sciences$102,102,044
Research focus
Adverse EffectsChildhoodAge-YearsAnisotropyAdverse OutcomeAcademic AchievementAutistic DisorderBacteriaBaseBehavioralBehavior DisordersAttention Deficit Hyperactivity DisorderAutism Spectrum DisorderBirthBloodBlood ProteinsBrainBrain DiseasesBrain InjuriesBrain VolumeCerebral PalsyCharacteristicsChildClinical Sciences
Grant awards (4)
Neonatal Biomarkers in Extremely Preterm Babies Predict Childhood Brain Disorders$2,857,573
U01 · FY2014 · NS · contact PI
Neonatal Biomarkers in Extremely Preterm Babies Predict Childhood Brain Disorders$3,655,744
U01 · FY2013 · NS · contact PI
Neonatal Biomarkers in Extremely Preterm Babies Predict Childhood Brain Disorders$3,478,718
U01 · FY2012 · NS · contact PI
Neonatal Biomarkers in Extremely Preterm Babies Predict Childhood Brain Disorders$3,465,570
U01 · FY2011 · NS · contact PI