Single-cell transcriptomes identify patient-tailored therapies for selective co-inhibition of cancer clones
Most Cited Paper
in Acute Myeloid Leukemia Research
18 Months Post-Publication
Class of 2026
“Single-cell transcriptomes identify patient-tailored therapies for selective co-inhibition of cancer clones”
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Topics
scTherapy · Single-cell RNA sequencing · intratumoral heterogeneity · multi-targeting therapies · Personalized treatment regimens · Acute myeloid leukemia (AML) · high-grade serous ovarian carcinoma · cancer clones · drug synergy · Drug resistance mechanisms · selective co-inhibition · machine learning prediction · primary patient cells · normal cell toxicity · Personalized treatment regimens · Hematologic malignancies · solid tumors · combinatorial drug screening · pan-cancer analysis · pathway co-inhibitors
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Acute Myeloid Leukemia Research Papers, Class of 2026. https://pri.pepkio.com/top-papers/acute-myeloid-leukemia-research/2026. Accessed 2026-07-31. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459