# Joshua Armenia

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/joshua-armenia/

## Facts

| Field | Value |
| --- | --- |
| Citations | 63,761 |
| Field | Prostate Cancer Treatment and Research |
| h-index | 75 |
| i10-index | 107 |
| Last Known Institution | AstraZeneca (United Kingdom) |
| OpenAlex ID | https://openalex.org/A5021762206 |
| ORCID iD | https://orcid.org/0000-0002-9005-7769 |
| Works | 335 |

## Researcher papers

Showing 12 of 19.

- [An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics](https://scholariq.org/papers/an-integrated-tcga-pan-cancer-clinical-data-resource-to-drive-high-quality/)
- [The repertoire of mutational signatures in human cancer](https://scholariq.org/papers/the-repertoire-of-mutational-signatures-in-human-cancer/)
- [Oncogenic Signaling Pathways in The Cancer Genome Atlas](https://scholariq.org/papers/oncogenic-signaling-pathways-in-the-cancer-genome-atlas/)
- [Pan-cancer analysis of whole genomes](https://scholariq.org/papers/pan-cancer-analysis-of-whole-genomes/)
- [The Molecular Taxonomy of Primary Prostate Cancer](https://scholariq.org/papers/the-molecular-taxonomy-of-primary-prostate-cancer/)
- [Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer](https://scholariq.org/papers/cell-of-origin-patterns-dominate-the-molecular-classification-of-10-000-tumors/)
- [Comprehensive Characterization of Cancer Driver Genes and Mutations](https://scholariq.org/papers/comprehensive-characterization-of-cancer-driver-genes-and-mutations/)
- [Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation](https://scholariq.org/papers/machine-learning-identifies-stemness-features-associated-with-oncogenic/)
- [Genomic and Functional Approaches to Understanding Cancer Aneuploidy](https://scholariq.org/papers/genomic-and-functional-approaches-to-understanding-cancer-aneuploidy/)
- [Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images](https://scholariq.org/papers/spatial-organization-and-molecular-correlation-of-tumor-infiltrating-lymphocytes/)
- [Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients](https://scholariq.org/papers/comprehensive-analysis-of-alternative-splicing-across-tumors-from-8-705-patients/)
- [Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines](https://scholariq.org/papers/scalable-open-science-approach-for-mutation-calling-of-tumor-exomes-using/)

## Researcher topics

- [Science, Research, and Medicine](https://scholariq.org/topics/science-research-and-medicine/)
- [Prostate Cancer Treatment and Research](https://scholariq.org/topics/prostate-cancer-treatment-and-research/)
- [Cancer Genomics and Diagnostics](https://scholariq.org/topics/cancer-genomics-and-diagnostics/)
- [PARP inhibition in cancer therapy](https://scholariq.org/topics/parp-inhibition-in-cancer-therapy/)
- [RNA modifications and cancer](https://scholariq.org/topics/rna-modifications-and-cancer/)

## Researcher university

- [AstraZeneca (United Kingdom)](https://scholariq.org/institutions/astrazeneca-united-kingdom/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.