← Leaderboards
Maciej F Boni
Pennsylvania State University, The
$1,828,254
Attributed
$1,828,254
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 $413.1K · FY2020–24$500K$375K$250K$125K$0
'20
'21
'22
'23
'24
Funding mix
By agency
NIH$1,828,254 · 1
By mechanism
R01$1,828,254 · 1
Top collaborators
No co-investigators on record.
Most similar at Pennsylvania State University, The
Same institution · by research overlap
- Manuel Llinas$9,232,172
- Prachumsri Jetsumon$3,144,903
- Baomin Wang$1,579,456
- Katsuhiko Murakami$6,642,034
Others in their field
Other Emerging Leaders on “Drug Prospecting”
- Peter W Pisters · University Of Tx Md Anderson Can Ctr$58,285,642
- Michael Dignam · National Institute Of Allergy And Infectious Diseases$30,845,607
- Olwen Hahn · Brigham And Women'S Hospital$23,691,312
- Stacey Lynn Clardy · Utah State Higher Education System--University Of Utah$15,144,108
- Giulio Francesco Draetta · University Of Tx Md Anderson Can Ctr$11,659,179
- Jurgen Bernd Bulitta · State University Of New York At Buffalo$11,098,301
Research focus
Drug ProspectingDrug ResistanceAfricaDrug ModelingsAfrica South Of The SaharaArtemisininsAutomobile DrivingAnti-Malarial Drug ResistanceAfricanDrug MarketCambodiaCase StudyCessation Of LifeChildChloroquineClinical TrialsCombined Modality TherapyCountryCulicidaeDangerousnessBurkina FasoDropsDrug KineticsDrug Usage
Grant awards (6)
Preparing for a world with artemisinin resistance: using individual-based epidemiological modeling to minimize the long-term detrimental effects of antimalarial drug resistance$392,281
R01 · FY2024 · AI · contact PI
Preparing for a world with artemisinin resistance: using individual-based epidemiological modeling to minimize the long-term detrimental effects of antimalarial drug resistance$282,423
R01 · FY2023 · AI · contact PI
Preparing for a world with artemisinin resistance: using individual-based epidemiological modeling to minimize the long-term detrimental effects of antimalarial drug resistance$130,719
R01 · FY2023 · AI · contact PI
Preparing for a world with artemisinin resistance: using individual-based epidemiological modeling to minimize the long-term detrimental effects of antimalarial drug resistance$343,903
R01 · FY2022 · AI · contact PI
Preparing for a world with artemisinin resistance: using individual-based epidemiological modeling to minimize the long-term detrimental effects of antimalarial drug resistance$339,988
R01 · FY2021 · AI · contact PI
Preparing for a world with artemisinin resistance: using individual-based epidemiological modeling to minimize the long-term detrimental effects of antimalarial drug resistance$338,940
R01 · FY2020 · AI · contact PI