← Leaderboards
Christopher Dennis McFarland
University Of Maryland Baltimore
$1,467,438
Attributed
$1,985,522
Total exposure
3
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 $790.7K · FY2018–24$1M$750K$500K$250K$0
'18
'19
'20
'21
'22
'23
'24
Funding mix
By agency
NIH$1,985,522 · 3
By mechanism
R01$1,036,168 · 1
R00$747,000 · 1
K99$202,354 · 1
Top collaborators
- Phuoc T. Tran2 shared
Most similar at University Of Maryland Baltimore
Same institution · by research overlap
- Phuoc T. Tran$8,297,853
- Aikaterini Kontrogianni-Konstantopoulos$13,265,718
- Rakesh K. Srivastava$538,654
- Qun Zhou$2,988,605
- Huang Chiao Huang$6,185,360
Others in their field
Other Emerging Leaders on “Innovation”
- Klaus Romero · Critical Path Institute$86,053,372
- Marlene Ann Cooper · Harvard University D/B/A Harvard School Of Public Health$71,439,892
- Ted Ross · University Of Georgia$70,992,558
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$69,953,681
- Tony Moody · Duke University$65,625,959
- Matthew Johnson · Duke University$60,590,296
Research focus
InnovationGenotypeCellsDeep SequencingMalignant NeoplasmsGenomicsNeoplastic CellMediatingTumor GrowthTumorigenesisTumorSamplingGeneticBar CodesFutureExhaustCancer GenomeEventEvolutionGenome EditingDesignCrispr/Cas TechnologyCancer GeneticsCell Division
Grant awards (7)
Tumor-barcoding coupled with high-throughput sequencing for quantitative radiogenomics of the abscopal response in NSCLC$494,498
R01 · FY2024 · CA
Tumor-barcoding coupled with high-throughput sequencing for quantitative radiogenomics of the abscopal response in NSCLC$541,670
R01 · FY2023 · CA
Quantifying the sources and dynamics of tumor growth variability using Tuba-seq$249,000
R00 · FY2023 · CA · contact PI
Quantifying the sources and dynamics of tumor growth variability using Tuba-seq$249,000
R00 · FY2022 · CA · contact PI
Quantifying the sources and dynamics of tumor growth variability using Tuba-seq$249,000
R00 · FY2021 · CA · contact PI
Quantifying the sources and dynamics of tumor growth variability using Tuba-seq$101,177
K99 · FY2019 · CA · contact PI
Quantifying the sources and dynamics of tumor growth variability using Tuba-seq$101,177
K99 · FY2018 · CA · contact PI