← Leaderboards
Ni Zhao
Johns Hopkins University
$1,936,086
Attributed
$1,936,086
Total exposure
2
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. They are the sole PI on all grants (the two match).
Funding over time
peak $583.3K · FY2021–25$1M$750K$500K$250K$0
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$1,936,086 · 2
By mechanism
R01$1,472,958 · 1
R21$463,128 · 1
Top collaborators
No co-investigators on record.
Most similar at Johns Hopkins University
Same institution · by research overlap
- Mei Cheng Wang$7,548,841
- Steven L. Salzberg$29,459,408
- Noel T Mueller$3,622,827
- Kaikobad J. Irani$9,796,643
- Stephen R Cole$4,865,193
Others in their field
Other Emerging Leaders on “Phenotype”
- Leonard Freedman · Leidos Biomedical Research, Inc.$68,463,085
- Yunda Huang · Fred Hutchinson Cancer Center$52,003,716
- Susan Abushakra · Alzheon, Inc.$47,265,244
- Lynn Briscoe · Leidos Biomedical Research, Inc.$28,580,688
- Evan Z Macosko · Broad Institute, Inc.$28,218,682
- Badri N Vardarajan · University Of Miami School Of Medicine$23,982,327
Research focus
PhenotypeSimulationMicrobiomePerformanceProtocols DocumentationSamplingFoundationsMicrobialMicrobiome ResearchMicrobiome SequencingPrevention StrategyProceduresDesignReproducibilityEvaluationCharacteristicsHuman MicrobiotaInterestBeta DiversityMicrobiome AnalysisData SetCommunitiesPhylogenetic AnalysisStatistical Methods
Grant awards (6)
Statistical methods for analyzing messy microbiome data: detection of hidden artifacts and robust modeling approaches$364,255
R01 · FY2025 · GM · contact PI
Statistical methods for analyzing messy microbiome data: detection of hidden artifacts and robust modeling approaches$364,255
R01 · FY2024 · GM · contact PI
Statistical methods for analyzing messy microbiome data: detection of hidden artifacts and robust modeling approaches$364,255
R01 · FY2023 · GM · contact PI
Statistical methods for analyzing messy microbiome data: detection of hidden artifacts and robust modeling approaches$380,193
R01 · FY2022 · GM · contact PI
Statistical methods for integrative analysis of multiple microbiome datasets$203,111
R21 · FY2022 · AI · contact PI
Statistical methods for integrative analysis of multiple microbiome datasets$260,017
R21 · FY2021 · AI · contact PI