Francesco Iorio - Concepedia

Author

Francesco Iorio

Also Known As

Claire Crafter, F Di Iorio, F IORIO, F Iorio, F. Di Iorio, F. IORIO, F. Iorio, FRANCESCO IORIO, Francesco Di Iorio, Francesco Iorio

236

Publications

22.4K

Citations

H-Index

173

Concepts

All Affiliations

Wellcome Sanger Institute European Bioinformatics Institute Human Technopole Open Targets RWTH Aachen University

About

Francesco Iorio is an author at Wellcome Sanger Institute specializing in medicine, engineering, and systems biology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	21	4.2K
2	Education	2	2	89
3	Language Studies	2	2	60
4	Business	1	1	35
5	Health Sciences	1	1	40

Francesco Iorio

Publications

17.6K

Citations

H-Index

Page 1

	Year	Citations
Systematic identification of genomic markers of drug sensitivity in cancer cells Mathew J. Garnett, Elena J. Edelman, Sonja J. Heidorn, Nature Systematic IdentificationGenomic MarkersEngineeringTumor HeterogeneityMedicine	2012	2.5K
Prospective Derivation of a Living Organoid Biobank of Colorectal Cancer Patients Marc van de Wetering, Hayley E. Francies, Joshua M. Francis, Cell OncologyBiobankMedicineColorectal CancerPathology	2015	2.4K
A Landscape of Pharmacogenomic Interactions in Cancer Francesco Iorio, Theo Knijnenburg, Daniël J. Vis, Cell Tumor BiologyOncologyTumor HeterogeneityMedicineDrug Response	2016	2.2K
Prioritization of cancer therapeutic targets using CRISPR–Cas9 screens Fiona M. Behan, Francesco Iorio, Gabriele Picco, Nature Crispr–cas9 ScreensGene EditingGenome EditingMedicineCell Biology	2019	1.3K
Heterogeneity of genomic evolution and mutational profiles in multiple myeloma Niccolò Bolli, Hervé Avet‐Loiseau, David C. Wedge, Nature Communications	2014	890
Discovery of drug mode of action and drug repositioning from transcriptional responses Francesco Iorio, Roberta Bosotti, Emanuela Scacheri, Proceedings of the National Academy of Sciences	2010	842
A CRISPR Dropout Screen Identifies Genetic Vulnerabilities and Therapeutic Targets in Acute Myeloid Leukemia Konstantinos Tzelepis, Hiroko Koike-Yusa, Étienne De Braekeleer, Cell Reports Gene Deletion DataGeneticsAcute Myeloid LeukemiaTherapeutic TargetsGenetic Engineering	2016	784
Convolutional Neural Networks for Steady Flow Approximation Xiaoxiao Guo, Wei Li, Francesco Iorio Numerical AnalysisGeometric LearningConvolutional Neural NetworkEngineeringMachine Learning	2016	675
Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties Michael P. Menden, Francesco Iorio, Mathew J. Garnett, PLoS ONE	2013	551
Characterizing Mutational Signatures in Human Cancer Cell Lines Reveals Episodic APOBEC Mutagenesis Mia Petljak, Ludmil B. Alexandrov, Jonathan Brammeld, Cell Somatic VariantTumor HeterogeneityMedicineGeneticsCancer Genomics	2019	434

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