Publications
52
Citations
2,149
Est. group size
~2
Recurring co-author estimate
Active years
10
Publishing since 2015
Joe T. Sharick's research focuses on using patient-derived cancer organoids (lab-grown miniature tumor models) and advanced microscopy methods to study cancer cell metabolism and predict how tumors will respond to chemotherapy and radiation. This work draws on techniques like fluorescence lifetime imaging microscopy to examine cancer cell behavior, hypoxia (low oxygen conditions in tumors), and metabolic changes linked to treatment resistance. The overall goal is to develop better tools for personalizing cancer treatment based on how a patient's own tumor cells behave in the lab.
Publication output was modest and variable from 2017-2022, then spiked sharply in 2023 (largely driven by supplementary materials from a single major organoid study) before dropping again in 2024.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Table S3 from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Figure S1 from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Table S1 from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Figure S4 from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Figure S3 from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Supplementary Data from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Table S2 from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Figure S2 from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Data from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Data from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Supplementary Data from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Table S3 from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Table S1 from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Figure S2 from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Figure S4 from Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation
2023
- Cancer Research×3
- Journal of Biomedical Optics×2
- Clinical Cancer Research×2
- Nature Medicine×1
- Frontiers in Oncology×1
- Caymen M. Novak
Medicine · The Ohio State University
- Jennifer L. Leight
Medicine · The Ohio State University
- Rebecca Lamb
Medicine · The Ohio State University
- Michael K. Wendt
Medicine · Purdue University West Lafayette
- Amanda J. Saraf
Medicine · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile