← Leaderboards
Debora S Marks
University Of California-Irvine
$2,792,437
Attributed
$8,377,310
Total exposure
1
Grants
0
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 $1.7M · FY2020–24$2M$1.5M$1M$500K$0
'20
'21
'22
'23
'24
Funding mix
By agency
NIH$8,377,310 · 1
By mechanism
R01$8,377,310 · 1
Top collaborators
- Andrew Kruse5 shared
- Chang C Liu5 shared
Most similar at University Of California-Irvine
Same institution · by research overlap
- Jing Zhang$4,953,415
- Susanne M Jaeggi$8,673,601
- David Lowell Mobley$5,876,948
- Thomas F Schilling$18,101,864
- Bruce Y Lee$13,790,157
Others in their field
Other Emerging Leaders on “Cell Surface Receptors”
- Stacey Lynn Clardy · Utah State Higher Education System--University Of Utah$15,093,619
- Crystal Mackall · Children'S Hosp Of Philadelphia$12,176,453
- Aaron Gregory Schmidt · Boston Children'S Hospital$8,781,814
- Raiees Ahmad Andrabi · Scripps Research Institute, The$7,683,184
- Timothy Yikai Huang · Sanford Burnham Prebys Medical Discovery Institute$7,561,310
- Benjamin J Burwitz · Oregon Health & Science University$7,204,087
Research focus
Cell Surface ReceptorsAffinityAcetylcholineAddictionAntibody AffinityAntibody EngineeringAntibody FormationAnimalsAntigen BindingAntibodiesAntigen-Presenting CellsAntigensAntigen TargetingArchitectureAreaBackAntibody LibrariesBiogenic Amine ReceptorsBiological SciencesBiomarker DiscoveryBiomedical ResearchCancer TherapyCellsChemistry
Grant awards (5)
Making antibody generation rapid, scalable, and democratic through machine learning and continuous evolution$1,671,001
R01 · FY2024 · CA
Making antibody generation rapid, scalable, and democratic through machine learning and continuous evolution$1,667,876
R01 · FY2023 · CA
Making antibody generation rapid, scalable, and democratic through machine learning and continuous evolution$1,682,720
R01 · FY2022 · CA
Making antibody generation rapid, scalable, and democratic through machine learning and continuous evolution$1,665,161
R01 · FY2021 · CA
Making antibody generation rapid, scalable, and democratic through machine learning and continuous evolution$1,690,552
R01 · FY2020 · CA