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Harold G Koenig
Duke University
$1,003,624
Attributed
$1,003,624
Total exposure
1
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. They are the sole PI on all grants (the two match).
Funding mix
By agency
NIH$1,003,624 · 1
By mechanism
R01$1,003,624 · 1
Top collaborators
No co-investigators on record.
Most similar at Duke University
Same institution · by research overlap
- David C. Steffens$35,311,674
- James A. Blumenthal$36,599,112
- Elizabeth J Costello$23,289,605
- Adrian C Angold$10,389,202
- Robert J Lefkowitz$17,365,480
Others in their field
Top investigators on “Behavioral /Social Science Research Tag”
- Willard Cates · Family Health International$73,520,657
- Norman Wolmark · Nsabp Foundation, Inc.$67,161,981
- Robert J Willis · University Of Michigan At Ann Arbor$64,770,100
- Stephen A Spector · University Of California, San Diego$59,875,103
- Lloyd D Johnston · University Of Michigan At Ann Arbor$33,778,046
- Gregory H Reaman · National Childhood Cancer Foundation$29,150,052
Research focus
Behavioral /Social Science Research TagChronic Obstructive Pulmonary DiseaseClinical ResearchComorbidityCongestive Heart FailureFunctional AbilityHealth BehaviorHealth Services Research TagHospital UtilizationHuman Middle Age (35-64)Human Old Age (65+)Human SubjectLongitudinal Human StudyMajor DepressionMental Health EpidemiologyNursesOutcomes ResearchPrognosisPsychometricsRemission /RegressionStressTelecommunications
Grant awards (4)
PREDICTING DEPRESSION OUTCOMES IN MEDICALLY ILL ELDERS$89,770
R01 · FY2003 · MH
PREDICTING DEPRESSION OUTCOMES IN MEDICALLY ILL ELDERS$270,036
R01 · FY2002 · MH
PREDICTING DEPRESSION OUTCOMES IN MEDICALLY ILL ELDERS$325,725
R01 · FY2001 · MH
PREDICTING DEPRESSION OUTCOMES IN MEDICALLY ILL ELDERS$318,093
R01 · FY2000 · MH