← Leaderboards
Christopher John Rozell
Icahn School Of Medicine At Mount Sinai
$6,337,154
Attributed
$14,948,403
Total exposure
6
Grants
2
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 $3.6M · FY2009–25$5M$3.8M$2.5M$1.3M$0
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$14,948,403 · 6
By mechanism
UH3$9,822,003 · 2
R01$3,346,359 · 2
R61$1,174,487 · 1
T32$605,554 · 1
Top collaborators
- Helen S Mayberg13 shared
- Patricio Riva-Posse12 shared
- Garrett B. Stanley7 shared
- Charles M Gray6 shared
- Bruno A. Olshausen6 shared
- Michael Robert Borich2 shared
- Lena H Ting2 shared
Most similar at Icahn School Of Medicine At Mount Sinai
Same institution · by research overlap
- Helen S Mayberg$14,434,759
- Patricio Riva-Posse$2,569,519
- Frank Gerard Hillary$2,082,739
- Elisabeth A Wilde$4,834,724
Others in their field
Top investigators on “Response”
- Lawrence Corey · Fred Hutchinson Cancer Center$677,505,141
- David Divins · Consortium For Ocean Leadership, Inc$609,772,544
- Margaret Juliana McElrath · Fred Hutchinson Cancer Center$532,027,174
- Barton F Haynes · Duke University$497,761,007
- Jeffrey P Krischer · University Of South Florida$397,532,270
- Glenda E Gray · Wits Health Consortium (Pty), Ltd$342,310,423
Research focus
ResponseNeural CircuitMental DepressionBrainElectrophysiology (Science)NeuroregulationMediatingMeasurementSignal TransductionImplantLeadParkinson DiseaseBaseAlgorithmsTreatment-Resistant DepressionDeep Brain StimulationBiological MarkersElectroencephalographyFutureMonitorClinical TrialsDevicesDiffusionLong-Term Effects
Grant awards (27)
Multimodal Biometrics to Optimize and Scale Decision Support for Depression DBS$2,113,446
UH3 · FY2025 · NS
A naturalistic multimodal platform for capturing brain-body interactions in people during physical effort-based decision making$1,174,487
R61 · FY2025 · MH · contact PI
Training in Computational Neural Engineering$299,479
T32 · FY2025 · EB
Training in Computational Neural Engineering$306,075
T32 · FY2024 · EB
Electrophysiological Biomarkers to Optimize DBS for Depression$1,527,237
UH3 · FY2023 · NS
CRCNS: Closed-Loop Computational Neuroscience for Causally Dissecting Circuits$321,403
R01 · FY2023 · NS · contact PI
Electrophysiological Biomarkers to Optimize DBS for Depression$64,857
UH3 · FY2023 · NS
Electrophysiological Biomarkers to Optimize DBS for Depression$20,750
UH3 · FY2023 · NS
Electrophysiological Biomarkers to Optimize DBS for Depression$1,386,072
UH3 · FY2022 · NS
CRCNS: Closed-Loop Computational Neuroscience for Causally Dissecting Circuits$322,589
R01 · FY2022 · NS · contact PI
Electrophysiological Biomarkers to Optimize DBS for Depression$130,405
UH3 · FY2022 · NS
Electrophysiological Biomarkers to Optimize DBS for Depression$123,707
UH3 · FY2022 · NS
Electrophysiological Biomarkers to Optimize DBS for Depression$64,857
UH3 · FY2022 · NS
Electrophysiological Biomarkers to Optimize DBS for Depression$1,367,977
UH3 · FY2021 · NS
CRCNS: Closed-Loop Computational Neuroscience for Causally Dissecting Circuits$323,607
R01 · FY2021 · NS · contact PI
Electrophysiological Biomarkers to Optimize DBS for Depression$109,980
UH3 · FY2021 · NS
CRCNS: Closed-Loop Computational Neuroscience for Causally Dissecting Circuits$324,660
R01 · FY2020 · NS · contact PI
Electrophysiological Biomarkers to Optimize DBS for Depression$1,262,523
UH3 · FY2019 · NS
CRCNS: Closed-Loop Computational Neuroscience for Causally Dissecting Circuits$325,241
R01 · FY2019 · NS · contact PI
Electrophysiological Biomarkers to Optimize DBS for Depression$165,527
UH3 · FY2019 · NS
Electrophysiological Biomarkers to Optimize DBS for Depression$1,484,665
UH3 · FY2017 · NS
CRCNS_:Neural Population Coding of Dynamic Natural Scenes$299,263
R01 · FY2013 · EY
CRCNS_:Neural Population Coding of Dynamic Natural Scenes$324,242
R01 · FY2012 · EY
CRCNS: Neural Population Coding of Dynamic Natural Scenes$85,599
R01 · FY2012 · EY
CRCNS_:Neural Population Coding of Dynamic Natural Scenes$326,060
R01 · FY2011 · EY
CRCNS_:Neural Population Coding of Dynamic Natural Scenes$334,753
R01 · FY2010 · EY
CRCNS_:Neural Population Coding of Dynamic Natural Scenes$358,942
R01 · FY2009 · EY