← Leaderboards
Matthew L Macdonald
University Of Pittsburgh At Pittsburgh
$4,166,263
Attributed
$6,188,901
Total exposure
4
Grants
4
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 $1.3M · FY2009–24$2M$1.5M$1M$500K$0
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
Funding mix
By agency
NIH$6,188,901 · 4
By mechanism
R01$5,487,929 · 2
K01$630,928 · 1
F31$70,044 · 1
Top collaborators
- Bernie Devlin4 shared
- Jonathan Trinidad4 shared
Most similar at University Of Pittsburgh At Pittsburgh
Same institution · by research overlap
- Yan Dong$13,250,843
- Jon W. Johnson$10,282,857
- Bradley K Taylor$17,950,936
- Robert A Sweet$35,026,835
- Eric Klann$20,406,593
Others in their field
Top investigators on “Proteomics”
- David Heimbrook · Leidos Biomedical Research, Inc.$318,825,229
- Stanley M Lemon · Univ Of North Carolina Chapel Hill$110,612,005
- Alan F Horwitz · University Of Virginia Charlottesville$73,668,592
- Gaetano T Montelione · Rutgers The St Univ Of Nj New Brunswick$70,176,616
- Rolf Apweiler · European Molecular Biology Laboratory$67,677,991
- Daniel Ernest Ford · Johns Hopkins University$67,257,868
Research focus
ProteomicsPathologyProteinsMass Spectrum AnalysisAutopsyGenesNeuronsProtein ExpressionMapsCodeLinkRisk VariantSiteBrainMental DisordersPathway InteractionsPost-Translational Protein ProcessingPhosphorylationDrug DiscoveryComplexReportingDensityAreaExperimental Study
Grant awards (15)
Fine-Mapping Genome-Wide Associated Loci using Multi-omics Data to Identify Mechanisms Affecting Serious Mental Illness$833,219
R01 · FY2024 · MH · contact PI
Fine-Mapping Genome-Wide Associated Loci using Multi-omics Data to Identify Mechanisms Affecting Serious Mental Illness$732,678
R01 · FY2023 · MH · contact PI
Synaptic Protein Networks, Genetic Risk, and Spine Loss in Schizophrenia$480,233
R01 · FY2023 · MH · contact PI
Fine-Mapping Genome-Wide Associated Loci using Multi-omics Data to Identify Mechanisms Affecting Serious Mental Illness$675,667
R01 · FY2022 · MH · contact PI
Synaptic Protein Networks, Genetic Risk, and Spine Loss in Schizophrenia$487,667
R01 · FY2022 · MH · contact PI
Fine-Mapping Genome-Wide Associated Loci using Multi-omics Data to Identify Mechanisms Affecting Serious Mental Illness$792,393
R01 · FY2021 · MH · contact PI
Synaptic Protein Networks, Genetic Risk, and Spine Loss in Schizophrenia$506,252
R01 · FY2021 · MH · contact PI
Synaptic Protein Networks, Genetic Risk, and Spine Loss in Schizophrenia$477,507
R01 · FY2020 · MH · contact PI
Synaptic Protein Networks, Genetic Risk, and Spine Loss in Schizophrenia$502,313
R01 · FY2019 · MH · contact PI
ATP1A3 Induced Alterations to Glutamate Signaling Protein Networks in Schizophrenia$157,738
K01 · FY2018 · MH · contact PI
ATP1A3 Induced Alterations to Glutamate Signaling Protein Networks in Schizophrenia$157,732
K01 · FY2017 · MH · contact PI
ATP1A3 Induced Alterations to Glutamate Signaling Protein Networks in Schizophrenia$157,745
K01 · FY2016 · MH · contact PI
ATP1A3 Induced Alterations to Glutamate Signaling Protein Networks in Schizophrenia$157,713
K01 · FY2015 · MH · contact PI
NMDA Receptor Complex Dysfunction in Schizophrenia$35,268
F31 · FY2010 · MH · contact PI
NMDA Receptor Complex Dysfunction in Schizophrenia$34,776
F31 · FY2009 · MH · contact PI