← LeaderboardsInvestigatorsiAttributed = a PI's even-split share of each grant — a $1M grant with 2 PIs counts $500K each.
Univ/London-Queen Mary& Westfield Coll
London
$4,474,024
Total funding
3
Grants
Funding over time
peak $851.4K · FY2015–24$1M$750K$500K$250K$0
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
Funding mix
By agency
NIH$4,474,024 · 3
By mechanism
R01$2,188,611 · 1
U01$1,983,979 · 1
OT2$301,434 · 1
Investigators at Univ/London-Queen Mary& Westfield Coll
InvestigatorsiAttributed = a PI's even-split share of each grant — a $1M grant with 2 PIs counts $500K each.
Exposure= the full size of every grant they're on ($1M each).
Rising Stars
First grant in the last 5 yrs
Not enough data
Emerging Leaders
6–10 yrs in
Not enough data
All-Time
Most funded here, all years
Largest grants
Biological Pathways of Risk and Resilience in Syrian Refugee Children$461,328
R01 · FY2015 · HD
Biological Pathways of Risk and Resilience in Syrian Refugee Children$436,379
R01 · FY2018 · HD
Biological Pathways of Risk and Resilience in Syrian Refugee Children$435,605
R01 · FY2016 · HD
Biological Pathways of Risk and Resilience in Syrian Refugee Children$432,132
R01 · FY2017 · HD
Exploiting zebrafish genetics to identify genes affecting addiction-related phenotypes.$428,249
U01 · FY2021 · DA
Exploiting zebrafish genetics to identify genes affecting addiction-related phenotypes.$428,249
U01 · FY2019 · DA
Exploiting zebrafish genetics to identify genes affecting addiction-related phenotypes.$428,249
U01 · FY2020 · DA
Biological Pathways of Risk and Resilience in Syrian Refugee Children$423,167
R01 · FY2019 · HD
Exploiting zebrafish genetics to identify genes affecting addiction-related phenotypes.$419,015
U01 · FY2022 · DA
Exploiting zebrafish genetics to identify genes affecting addiction-related phenotypes.$280,217
U01 · FY2018 · DA
eDyNAmiC-QMUL$201,959
OT2 · FY2022 · CA
eDyNAmiC-QMUL$70,103
OT2 · FY2024 · CA
eDyNAmiC-QMUL$29,372
OT2 · FY2023 · CA