Christopher C. Benz

Career Trajectory

Research Cluster Map

Direct collaborators. Node size = influence, colour = community, dashed = past collaboration.

• N-propargylglycine restores survival by preventing calcium oxalate stone formation, tubular injury, and kidney dysfunction in a lethal mouse model of primary hyperoxaluria type 2

  Kidney International · 2026-03-21

• Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets

  UNC Libraries · 2025-12-31

• Progesterone receptor ( <scp>PR</scp> ) intra‐tumor heterogeneity in premenopausal breast cancer: A secondary analysis of a randomized trial

  International Journal of Cancer · 2025-10-24

• Advancing biological understanding of cellular senescence with computational multiomics

  Nature Genetics · 2025-09-15 · 27 citations

• Protocol for obtaining cancer type and subtype predictions using subSCOPE

  STAR Protocols · 2025-04-10

• Protocol for assessing distances in pathway space for classifier feature sets from machine learning methods

  STAR Protocols · 2025-03-18

• Cellular senescence predicts breast cancer risk from benign breast disease biopsy images

  Breast Cancer Research · 2025-03-11 · 2 citations

• Biochemical, structural, and cellular characterization of S-but-3-yn-2-ylglycine as a mechanism-based covalent inactivator of the flavoenzyme proline dehydrogenase

  Archives of Biochemistry and Biophysics · 2025-01-25 · 6 citations

• Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets

  Cancer Cell · 2025-01-02 · 28 citations

• Differential long-term tamoxifen therapy benefit by menopausal status in breast cancer patients: secondary analysis of a controlled randomized clinical trial

  JNCI Journal of the National Cancer Institute · 2024-10-25 · 5 citations

• Noncovalent Inhibition and Covalent Inactivation of Proline Dehydrogenase by Analogs of <i>N</i>-Propargylglycine

  Biochemistry · 2024-10-22 · 7 citations

• Deep learning assessment of senescence-associated nuclear morphologies in mammary tissue from healthy female donors to predict future risk of breast cancer: a retrospective cohort study

  The Lancet Digital Health · 2024-09-25 · 16 citations