← Leaderboards
Jin Xiao
University Of Rochester
$3,267,175
Attributed
$5,674,652
Total exposure
5
Grants
5
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 $1.4M · FY2018–25$2M$1.5M$1M$500K$0
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$5,674,652 · 5
By mechanism
R01$3,190,415 · 1
K12$756,000 · 1
K23$747,505 · 1
KL2$559,932 · 1
R21$420,800 · 1
Top collaborators
- Steven R. Gill7 shared
- Tongtong Wu7 shared
- Kevin Fiscella2 shared
- Jiebo Luo2 shared
Most similar at University Of Rochester
Same institution · by research overlap
- Tongtong Wu$1,063,472
- Steven R. Gill$10,593,235
- Jacqueline Abranches$2,207,030
- Cyril Meyerowitz$956,704
- Robert E Marquis$5,878,144
Others in their field
Other Emerging Leaders on “Training”
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$73,910,854
- Marlene Ann Cooper · Harvard University D/B/A Harvard School Of Public Health$71,439,892
- Bambra Strokes · Ppd Development Lp$65,000,267
- Martha Hering · Westat, Inc.$57,098,843
- Peter W Pisters · University Of Tx Md Anderson Can Ctr$56,084,949
- Susan M Landau · University Of California Berkeley$47,252,026
Research focus
TrainingOralAdvisory CommitteesMultidisciplinaryDental CariesEarly ChildhoodRisk FactorsChildPreschool ChildSeveritiesChildhoodDentalMicrobialOral MicrobiomeBirthLifeMothersChronicCohortInfantInfancyOral Microbial CommunityArchivesBiometry
Grant awards (16)
CTSA K12 Program at University of Rochester$756,000
K12 · FY2025 · TR · contact PI
Understand biological factors underlying early childhood caries disparity from the oral microbiome in early infancy$683,122
R01 · FY2025 · DE · contact PI
Understand biological factors underlying early childhood caries disparity from the oral microbiome in early infancy$687,274
R01 · FY2024 · DE · contact PI
Institutional Career Development Core$559,932
KL2 · FY2024 · TR · contact PI
Understand biological factors underlying early childhood caries disparity from the oral microbiome in early infancy$79,523
R01 · FY2024 · DE · contact PI
Understand biological factors underlying early childhood caries disparity from the oral microbiome in early infancy$717,346
R01 · FY2023 · DE · contact PI
Understand biological factors underlying early childhood caries disparity from the oral microbiome in early infancy$178,929
R01 · FY2023 · DE · contact PI
Understand biological factors underlying early childhood caries disparity from the oral microbiome in early infancy$731,315
R01 · FY2022 · DE · contact PI
Develop an Artificial Intelligence-powered Smartphone App AICaries for Caries Detection in Children$231,000
R21 · FY2022 · DE · contact PI
Association between Oral Candida albicans and the Onset of Severe Early Childhood Caries$149,501
K23 · FY2022 · DE · contact PI
Understand biological factors underlying early childhood caries disparity from the oral microbiome in early infancy$112,906
R01 · FY2022 · DE · contact PI
Develop an Artificial Intelligence-powered Smartphone App AICaries for Caries Detection in Children$189,800
R21 · FY2021 · DE · contact PI
Association between Oral Candida albicans and the Onset of Severe Early Childhood Caries$149,501
K23 · FY2021 · DE · contact PI
Association between Oral Candida albicans and the Onset of Severe Early Childhood Caries$149,501
K23 · FY2020 · DE · contact PI
Association between Oral Candida albicans and the Onset of Severe Early Childhood Caries$149,501
K23 · FY2019 · DE · contact PI
Association between Oral Candida albicans and the Onset of Severe Early Childhood Caries$149,501
K23 · FY2018 · DE · contact PI