# Doug Voet

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/doug-voet/

## Facts

| Field | Value |
| --- | --- |
| Citations | 77,779 |
| Field | Cancer Genomics and Diagnostics |
| h-index | 53 |
| i10-index | 55 |
| OpenAlex ID | https://openalex.org/A5039440930 |
| Works | 65 |

## Researcher papers

Showing 12 of 19.

- [The Immune Landscape of Cancer](https://scholariq.org/papers/the-immune-landscape-of-cancer/)
- [Comprehensive genomic characterization of squamous cell lung cancers](https://scholariq.org/papers/comprehensive-genomic-characterization-of-squamous-cell-lung-cancers/)
- [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/)
- [Oncogenic Signaling Pathways in The Cancer Genome Atlas](https://scholariq.org/papers/oncogenic-signaling-pathways-in-the-cancer-genome-atlas/)
- [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/)
- [Integrated genomic and molecular characterization of cervical cancer](https://scholariq.org/papers/integrated-genomic-and-molecular-characterization-of-cervical-cancer/)
- [Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas](https://scholariq.org/papers/genomic-and-molecular-landscape-of-dna-damage-repair-deficiency-across-the/)
- [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/)

## Researcher topics

- [Cancer Genomics and Diagnostics](https://scholariq.org/topics/cancer-genomics-and-diagnostics/)
- [Genetic factors in colorectal cancer](https://scholariq.org/topics/genetic-factors-in-colorectal-cancer/)
- [RNA modifications and cancer](https://scholariq.org/topics/rna-modifications-and-cancer/)
- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)
- [Cancer-related Molecular Pathways](https://scholariq.org/topics/cancer-related-molecular-pathways/)

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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.