GGrantIndex
← Leaderboards

David L Rimm

Yale University

Google Scholar ↗PubMed ↗ORCID ↗
$13,301,493
Attributed
$15,157,518
Total exposure
19
Grants
13
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 $1.1M · FY2005–25
$2M$1.5M$1M$500K$0
'05
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$15,157,518 · 19

By mechanism

R01$6,421,528 · 4
P50$4,692,075 · 6
R33$1,786,725 · 2
P30$1,558,855 · 3
R21$698,335 · 4

Top collaborators

Most similar at Yale University

Same institution · by research overlap

Others in their field

Top investigators on “Tissues”

Research focus

TissuesPathologyBaseDiagnosticServicesMeasurementSpecimenFutureProteinsClinical TrialsResourcesProceduresTissue ProcurementsGenomicsTissue MicroarrayRecurrenceIn SituExcisionTissue SampleHistologyNeoplasm MetastasisBiopsyFreezingFunding

Grant awards (62)

Yale Pathology Tissue Services Shared Resource$91,666
P30 · FY2025 · CA · contact PI
Core C: Biospecimen, Pathology, and Genomics Core$388,312
P50 · FY2024 · CA · contact PI
Biospecimen Core$285,080
P50 · FY2024 · DE · contact PI
Yale Pathology Tissue Services Shared Resource$78,579
P30 · FY2024 · CA · contact PI
Project 1: Siglec15 as a new target for lung cancer immunotherapy$392,133
P50 · FY2023 · CA · contact PI
Core C: Biospecimen, Pathology, and Genomics Core$376,178
P50 · FY2023 · CA · contact PI
Biospecimen Core$288,901
P50 · FY2023 · DE · contact PI
Core C: Biospecimen, Pathology, and Genomics Core$373,653
P50 · FY2022 · CA · contact PI
Biospecimen Core$282,343
P50 · FY2022 · DE · contact PI
Yale Pathology Tissue Services Shared Resource$91,229
P30 · FY2022 · CA · contact PI
Core C: Biospecimen, Pathology, and Genomics Core$385,012
P50 · FY2021 · CA · contact PI
Biospecimen Core$285,147
P50 · FY2021 · DE · contact PI
Yale Pathology Tissue Services Shared Resource$91,229
P30 · FY2021 · CA · contact PI
Core C: Biospecimen, Pathology, and Genomics Core$396,534
P50 · FY2020 · CA · contact PI
Yale Pathology Tissue Services Shared Resource$91,229
P30 · FY2020 · CA · contact PI
Biospecimen, Pathology, and Genomics Core$293,501
P50 · FY2019 · CA · contact PI
Yale Pathology Tissue Services Shared Resource$91,229
P30 · FY2019 · CA · contact PI
Yale Pathology Tissue Services Shared Resource$11,905
P30 · FY2019 · CA · contact PI
Biospecimen, Pathology, and Genomics Core$218,509
P50 · FY2018 · CA · contact PI
Yale Pathology Tissue Services Shared Resource$91,229
P30 · FY2018 · CA · contact PI
Yale Pathology Tissue Services Shared Resource$11,905
P30 · FY2018 · CA · contact PI
Yale Pathology Tissue Services Shared Resource$11,905
P30 · FY2018 · CA · contact PI
Yale Pathology Tissue Services Shared Resource$2,858
P30 · FY2018 · CA · contact PI
Yale Pathology Tissue Services Shared Resource$2,683
P30 · FY2018 · CA · contact PI
Biospecimen, Pathology, and Genomics Core$311,862
P50 · FY2017 · CA · contact PI
(PQC2)High-content Pathology with Confocal Microscope Arrays$620,631
R01 · FY2016 · CA
Biospecimen, Pathology, and Genomics Core$205,399
P50 · FY2016 · CA · contact PI
(PQC2)High-content Pathology with Confocal Microscope Arrays$627,270
R01 · FY2015 · CA
Biospecimen, Pathology, and Genomics Core$209,511
P50 · FY2015 · CA · contact PI
(PQC2)High-content Pathology with Confocal Microscope Arrays$623,480
R01 · FY2014 · CA
(PQC2)High-content Pathology with Confocal Microscope Arrays$668,080
R01 · FY2013 · CA
Predicting Metastasis in Melanoma$241,099
R01 · FY2013 · CA · contact PI
Predicting Metastasis in Melanoma$256,489
R01 · FY2012 · CA · contact PI
Predicting Metastasis in Melanoma$256,489
R01 · FY2011 · CA · contact PI
Shared Resources-Critical Technologies for Tissue Services$182,297
P30 · FY2011 · CA · contact PI
Optimal Predictors of Response to Trastuzumab$584,668
R01 · FY2010 · CA · contact PI
Predicting Metastasis in Melanoma$264,421
R01 · FY2010 · CA · contact PI
Shared Resources-Critical Technologies for Tissue Services$205,127
P30 · FY2010 · CA · contact PI
Optimal Predictors of Response to Trastuzumab$587,922
R01 · FY2009 · CA · contact PI
Predicting Metastasis in Melanoma$253,616
R01 · FY2009 · CA · contact PI
Shared Resources-Critical Technologies for Tissue Services$185,687
P30 · FY2009 · CA · contact PI
Predicting Metastasis in Melanoma$253,616
R01 · FY2008 · CA · contact PI
Predicting Metastasis to Lymph Nodes$244,944
R33 · FY2008 · CA · contact PI
Shared Resources-Critical Technologies for Tissue Services$185,688
P30 · FY2008 · CA · contact PI
Predicting Metastasis in Melanoma$268,466
R01 · FY2007 · CA · contact PI
Predicting Metastasis to Lymph Nodes$244,944
R33 · FY2007 · CA · contact PI
Prediction of Breast Cancer Response to Hormonal Thearpy$198,590
R33 · FY2007 · CA · contact PI
Shared Resources-Critical Technologies for Tissue Services$132,410
P30 · FY2007 · CA · contact PI
Predicting Metastasis in Melanoma$261,191
R01 · FY2006 · CA · contact PI
Predicting Metastisis to Lymph Nodes$252,259
R33 · FY2006 · CA · contact PI
Prediction of Breast Cancer Response to Hormonal Thearpy$198,566
R33 · FY2006 · CA · contact PI
Predicting Metastasis to Lymph Nodes$258,330
R33 · FY2005 · CA
Prediction of Breast Cancer Response to Hormonal Thearpy$197,421
R33 · FY2005 · CA
Prediction of Breast Cancer Response to Hormonal Thearpy$191,671
R33 · FY2004 · CA
AQUA: A New Quantitative in situ Proteomic Assay$163,500
R21 · FY2004 · CA
AQUA: A New Quantitative in situ Proteomic Assay$163,500
R21 · FY2003 · CA
ESTABLISHMENT AND REGULATION OF CELL/CELL ADHESION$224,505
R01 · FY2002 · GM
ESTABLISHMENT AND REGULATION OF CELL/CELL ADHESION$217,967
R01 · FY2001 · GM
ESTABLISHMENT AND REGULATION OF CELL/CELL ADHESION$211,618
R01 · FY2000 · GM
VALUE OF MET FOR PREDICTION OF METASTASIS IN CANCER$126,255
R21 · FY2000 · CA
MOLECULAR CLONALITY ASSAY FOR EARLY CANCER DIAGNOSIS$122,625
R21 · FY2000 · CA
QB CYTOLOGY, METHOD FOR DETECT CIRCULATING CANCER CELLS$122,455
R21 · FY2000 · CA