# Debyani Chakravarty

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/debyani-chakravarty/

## Facts

| Field | Value |
| --- | --- |
| Citations | 68,727 |
| Field | Cancer Genomics and Diagnostics |
| h-index | 68 |
| i10-index | 102 |
| Last Known Institution | Memorial Sloan Kettering Cancer Center |
| OpenAlex ID | https://openalex.org/A5000774517 |
| ORCID iD | https://orcid.org/0000-0001-8629-5732 |
| Works | 276 |

## Researcher papers

Showing 12 of 20.

- [The Somatic Genomic Landscape of Glioblastoma](https://scholariq.org/papers/the-somatic-genomic-landscape-of-glioblastoma/)
- [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/)
- [Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients](https://scholariq.org/papers/mutational-landscape-of-metastatic-cancer-revealed-from-prospective-clinical/)
- [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/)
- [OncoKB: A Precision Oncology Knowledge Base](https://scholariq.org/papers/oncokb-a-precision-oncology-knowledge-base/)
- [Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation](https://scholariq.org/papers/machine-learning-identifies-stemness-features-associated-with-oncogenic/)
- [AACR Project GENIE: Powering Precision Medicine through an International Consortium](https://scholariq.org/papers/aacr-project-genie-powering-precision-medicine-through-an-international/)
- [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

- [Cancer Genomics and Diagnostics](https://scholariq.org/topics/cancer-genomics-and-diagnostics/)
- [Lung Cancer Treatments and Mutations](https://scholariq.org/topics/lung-cancer-treatments-and-mutations/)
- [Genomics and Rare Diseases](https://scholariq.org/topics/genomics-and-rare-diseases/)
- [Genetic factors in colorectal cancer](https://scholariq.org/topics/genetic-factors-in-colorectal-cancer/)
- [Pancreatic and Hepatic Oncology Research](https://scholariq.org/topics/pancreatic-and-hepatic-oncology-research/)

## Researcher university

- [Memorial Sloan Kettering Cancer Center](https://scholariq.org/institutions/memorial-sloan-kettering-cancer-center/)

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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.