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Lanjing Zhang
Rutgers Biomedical And Health Sciences
$1,305,133
Attributed
$1,305,133
Total exposure
1
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. They are the sole PI on all grants (the two match).
Funding over time
peak $412K · FY2022–25$500K$375K$250K$125K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$1,305,133 · 1
By mechanism
R37$1,305,133 · 1
Top collaborators
No co-investigators on record.
Most similar at Rutgers Biomedical And Health Sciences
Same institution · by research overlap
- Elisa V Bandera$5,946,911
- Wadih Arap$12,814,372
- Shridar Ganesan$8,375,704
- David Alland$97,558,393
- Renata Pasqualini$15,543,620
Others in their field
Other Rising Stars on “Public Health”
- Katherine M Thibault · Battelle Memorial Institute$134,148,552
- Thierry Diagana · University Of Texas Med Br Galveston$37,506,320
- Dorota A. Grejner-Brzezinska · University Of Wisconsin-Madison$19,883,568
- Jennifer Lee O'Brien · University Of South Florida$15,110,862
- Michael Hogarth · University Of California, San Diego$14,390,863
- Alaina J Harkness · Current Innovation, Nfp$13,724,091
Research focus
Public HealthUndergraduate StudentMissionProgramsScreeningTechnologyInterdisciplinary CollaborationMalignant NeoplasmsMorbidity - Disease RateProblem SolvingHigh SchoolResearch PersonnelAwarenessCessation Of LifeCollaborationsColorectal CancerMalignant Neoplasm Of ProstateData ScienceCancer PatientMalignant Neoplasm Of LungMortalityPhysiciansCancer CareUnited States National Institutes Of Health
Grant awards (6)
SCH: Screening and confirmatory machine learning for explainable modeling of non-cancer deaths in cancer patients$321,183
R37 · FY2025 · CA · contact PI
SCH: Screening and confirmatory machine learning for explainable modeling of non-cancer deaths in cancer patients$90,808
R37 · FY2025 · CA · contact PI
SCH: Screening and confirmatory machine learning for explainable modeling of non-cancer deaths in cancer patients$218,483
R37 · FY2024 · CA · contact PI
Screening and confirmatory machine learning for explainable modeling of non-cancer deaths in cancer patients$105,528
R37 · FY2024 · CA · contact PI
SCH: Screening and confirmatory machine learning for explainable modeling of non-cancer deaths in cancer patients$280,799
R37 · FY2023 · CA · contact PI
SCH: Screening and confirmatory machine learning for explainable modeling of non-cancer deaths in cancer patients$288,332
R37 · FY2022 · CA · contact PI