Author

Todd Cameron Hankinson

Morgan Adams FoundationORCID 0000-0002-6288-9496Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Assay:proteomics· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Andrew M. DonsoniD· 2 shared Eric W. PrinceiD· 2 shared Kent A. RiemondyiD· 2 shared Nicholas K. ForemaniD· 2 shared Rajeev VibhakariD· 2 shared Adam GreeniD· 1 shared Andrea M. GriesingeriD· 1 shared April Ann ApfelbaumiD· 1 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersCancer Biology

Andrew M. DonsonORCID

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3 papers

Recent·Most cited

Differential Phagocytosis induces Diverse Macrophage Activation States in Malignant Gliomas

Senthilnath Lakshmanachetty, Kent A. Riemondy, Bridget L. Sanford, Andrew M. Donson, Vincent C. Chen, Ilango Balakrishnan, Eric W. Prince, Todd Cameron Hankinson, Nathan A. Dahl, Rajeev Vibhakar, Nicholas K. Foreman, Sujatha Venkataraman, Siddhartha S. Mitra

This study investigates how differential phagocytosis induced by RT or anti-CD47 therapy affects macrophage activation states in gliomas, showing that combination therapy reduces tumor growth and induces distinct macrophage states.

Journal for ImmunoTherapy of Cancer · Sep 1, 2025Peer-reviewedCancer Biology

Multi-pronged analysis of pediatric low-grade glioma reveals a unique tumor microenvironment associated with BRAF alterations

Shadi Zahedi, Kent A. Riemondy, Tian Liu, Andrea M. Griesinger, Andrew M. Donson, April Ann Apfelbaum, Rui Fu, Julian Grandvallet Contreras, Michele Crespo, John A. DeSisto, Madeline M. Groat, Emil Bratbak, Adam Green, Todd Cameron Hankinson, Michael H. Handler, , Jean M. Mulcahy Levy

This study uses multi-omics approaches to analyze pediatric low-grade glioma and identifies immune-related differences linked to BRAF mutations.

Brain Pathology · Jun 30, 2025Peer-reviewedCancer Biology

HD Spot: Interpretable Deep Learning Classification of Single Cell Transcript Data

Eric W. Prince, Todd Cameron Hankinson

HD Spot is a deep learning framework that generates interpretable classifiers for scRNA-seq data using genetic algorithms and autoencoders, demonstrating robustness across datasets.

bioRxiv · Oct 31, 2019 · PreprintBioinformatics