Author

Paola Porcari

Memorial Sloan Kettering Cancer CenterORCID 0000-0002-1011-1762Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Assay:metabolomics· 1 Organism:mouse· 1

Frequent Co-Authors

Kayvan R. KeshariiD· 2 shared Cha Yang· 1 shared Claudia KappeniD· 1 shared Dawson Miller· 1 shared Elizabeth CoffeeiD· 1 shared Fenghua HuiD· 1 shared Grace Figlioli· 1 shared Huiyong ChengiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersCancer Biology

Kayvan R. KeshariORCID

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2 papers

Recent·Most cited

Co-Hyperpolarized Dehydroascorbate and Pyruvate MRI Predicts Treatment Response in Glioblastoma

Elizabeth Coffee, Paola Porcari, Saket Patel, Grace Figlioli, Marjan Berishaj, Ingo K. Mellinghoff, Kayvan R. Keshari

This study uses co-hyperpolarized MRI to predict treatment response in glioblastoma by measuring oxidative stress and glycolytic flux.

bioRxiv · Nov 11, 2025 · PreprintCancer Biology

Untargeted Pixel-by-Pixel Imaging of Metabolite Ratio Pairs as a Novel Tool for Biomedical Discovery in Mass Spectrometry Imaging

Huiyong Cheng, Dawson Miller, Nneka Southwell, Paola Porcari, Joshua L. Fischer, Isobel Taylor, J. Michael Salbaum, Claudia Kappen, Fenghua Hu, Cha Yang, Kayvan R. Keshari, Steven S. Gross, Marilena D’Aurelio, Qiuying Chen

The paper develops an R package for pixel-by-pixel ratio imaging of metabolite pairs in mass spectrometry imaging, enhancing spatial contrast and revealing new tissue regions and biomarkers.

eLife · Mar 18, 2025Peer-reviewedBioinformatics