Oscar M. Rueda

University of Cambridge — United Kingdom

Biochemistry, Genetics and Molecular Biology · Life Sciences

56h-index24.7kcitations332works1.32yr avg
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Research Topics

Cancer Genomics and Diagnostics(148), Gene expression and cancer classification(39), Cancer Cells and Metastasis(38), Genomic variations and chromosomal abnormalities(34), Bioinformatics and Genomic Networks(28)

Publications330 total

The molecular cartography of malignant and benign sebaceous tumours
Nature Communications·2025Open Access
The tumor microenvironment of 14,837 breast cancers is associated with clinical outcome independently of genomic subtypes
Cell Reports Medicine·2025Open Access
Interventionally-guided representation learning for robust and interpretable AI models in cancer medicine
2025Open Access
Fitness and transcriptional plasticity of human breast cancer single-cell-derived clones
Cell Reports·2025· 3 citedOpen Access
Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data
Molecular Oncology·2025Open Access
Re-epithelialization of cancer cells increases autophagy and DNA damage: Implications for breast cancer dormancy and relapse
Science Signaling·2025· 2 cited
A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour <scp>DNA</scp> and machine learning to predict treatment outcome and progression‐free survival
Molecular Oncology·2025· 4 citedOpen Access
Author response for "Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data"
2025
Inducible re-epithelialization of cancer cells increases autophagy and DNA damage: implications for breast cancer dormancy
2025Open Access
Figure 4 from Modeling Drug Responses and Evolutionary Dynamics Using Patient-Derived Xenografts Reveals Precision Medicine Strategies for Triple-Negative Breast Cancer
2025Open Access
Figure 6 from Modeling Drug Responses and Evolutionary Dynamics Using Patient-Derived Xenografts Reveals Precision Medicine Strategies for Triple-Negative Breast Cancer
2025Open Access
Figure 5 from Modeling Drug Responses and Evolutionary Dynamics Using Patient-Derived Xenografts Reveals Precision Medicine Strategies for Triple-Negative Breast Cancer
2025Open Access
Figure 3 from Modeling Drug Responses and Evolutionary Dynamics Using Patient-Derived Xenografts Reveals Precision Medicine Strategies for Triple-Negative Breast Cancer
2025Open Access
Data from Modeling Drug Responses and Evolutionary Dynamics Using Patient-Derived Xenografts Reveals Precision Medicine Strategies for Triple-Negative Breast Cancer
2025· 1 citedOpen Access
Supplementary Legends from Modeling Drug Responses and Evolutionary Dynamics Using Patient-Derived Xenografts Reveals Precision Medicine Strategies for Triple-Negative Breast Cancer
2025Open Access
Supplementary Tables 1-5 from Modeling Drug Responses and Evolutionary Dynamics Using Patient-Derived Xenografts Reveals Precision Medicine Strategies for Triple-Negative Breast Cancer
2025Open Access
Supplementary Figures 1-20 from Modeling Drug Responses and Evolutionary Dynamics Using Patient-Derived Xenografts Reveals Precision Medicine Strategies for Triple-Negative Breast Cancer
2025Open Access
Figure 1 from Modeling Drug Responses and Evolutionary Dynamics Using Patient-Derived Xenografts Reveals Precision Medicine Strategies for Triple-Negative Breast Cancer
2025Open Access
Figure 2 from Modeling Drug Responses and Evolutionary Dynamics Using Patient-Derived Xenografts Reveals Precision Medicine Strategies for Triple-Negative Breast Cancer
2025Open Access
Author response for "Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data"
2025
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Frequent Co-authors

Carlos Caldas(50), Suet‐Feung Chin(26), Samuel Aparício(23), Alejandra Bruna(22), H. Raza Ali(15), Elena Provenzano(14), Stephen‐John Sammut(12), Ian O. Ellis(10), Wendy Greenwood(10), Maurizio Callari(10), Christina Curtis(9), Sohrab P. Shah(9), Bernd Bodenmiller(9), Andrew R. Green(7), Daniel Lai(7), Paul D.P. Pharoah(7), Helen Bardwell(7), Shahar Alon(7), Shankar Balasubramanian(7), Emma Laks(7)