← Leaderboards
Ekta Khurana
Weill Medical Coll Of Cornell Univ
$4,892,615
Attributed
$8,063,598
Total exposure
3
Grants
1
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 $1.8M · FY2018–25$2M$1.5M$1M$500K$0
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$8,063,598 · 3
By mechanism
R01$5,529,412 · 2
T32$2,534,186 · 1
Top collaborators
- Christina S Leslie5 shared
- Haiyuan Yu5 shared
- Effie Apostolou2 shared
- Howard A. Fine2 shared
- Neville Sanjana2 shared
Most similar at Weill Medical Coll Of Cornell Univ
Same institution · by research overlap
- Rita Shaknovich$693,360
- Nadia Dahmane$3,298,274
- Chantal Harris$135,060
- Effie Apostolou$10,311,834
- Bethany Schaffer$115,732
Others in their field
Other Emerging Leaders on “Tumor”
- Leonard Freedman · Leidos Biomedical Research, Inc.$360,535,780
- Lynn Briscoe · Leidos Biomedical Research, Inc.$120,794,323
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$105,180,681
- Leonard Freedmand · Leidos Biomedical Research, Inc.$78,762,245
- Connie Suders · Leidos Biomedical Research, Inc.$67,882,919
- Gautam (george) Mitra · Leidos Biomedical Research, Inc.$53,523,213
Research focus
TumorUntranslated RnaCellsGene ExpressionPromoterEnhancersSamplingMalignant NeoplasmsGenomeGenesMutationVariantOpen Reading FramesPhenotypeInnovationCodeHeterogeneityPlayClustered Regularly Interspaced Short Palindromic RepeatsGeneticCell LineCatalogsDna SequenceElements
Grant awards (19)
Identifying and Targeting 3D Regulatory Nodes that Maintain Glioblastoma Programs$675,615
R01 · FY2025 · NS
Computational and experimental methods for scalable identification of oncogenic non-coding regions$551,605
R01 · FY2025 · CA · contact PI
Identifying and Targeting 3D Regulatory Nodes that Maintain Glioblastoma Programs.$692,990
R01 · FY2024 · NS
Computational and experimental methods for scalable identification of oncogenic non-coding regions$586,639
R01 · FY2024 · CA · contact PI
Tri-Institutional PhD Program in Computational Biology and Medicine$513,604
T32 · FY2024 · GM
Tri-Institutional PhD Program in Computational Biology and Medicine$530,535
T32 · FY2023 · GM
Tri-Institutional PhD Program in Computational Biology and Medicine$520,362
T32 · FY2022 · GM
Computational Methods for Identifying Non-coding Cancer Drivers$461,451
R01 · FY2022 · CA · contact PI
Computational Methods for Identifying Non-coding Cancer Drivers$9,946
R01 · FY2022 · CA · contact PI
Tri-Institutional PhD Program in Computational Biology and Medicine$487,629
T32 · FY2021 · GM
Computational Methods for Identifying Non-coding Cancer Drivers$473,876
R01 · FY2021 · CA · contact PI
Computational Methods for Identifying Non-coding Cancer Drivers$124,116
R01 · FY2021 · CA · contact PI
Computational Methods for Identifying Non-coding Cancer Drivers$5,792
R01 · FY2021 · CA · contact PI
Computational Methods for Identifying Non-coding Cancer Drivers$721,394
R01 · FY2020 · CA · contact PI
Tri-Institutional PhD Program in Computational Biology and Medicine$482,056
T32 · FY2020 · GM
Computational Methods for Identifying Non-coding Cancer Drivers$483,437
R01 · FY2019 · CA · contact PI
Deep learning-based approach to identify non-coding cancer drivers that alter chromatin conformation$113,967
R01 · FY2019 · CA · contact PI
Predicting the functional impact of non-coding mutations using patient-specific gene regulatory networks$96,691
R01 · FY2019 · CA · contact PI
Computational Methods for Identifying Non-coding Cancer Drivers$531,893
R01 · FY2018 · CA · contact PI