# Tina Hernandez‐Boussard

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/tina-hernandez-boussard/

## Facts

| Field | Value |
| --- | --- |
| Citations | 20,496 |
| Field | Artificial Intelligence in Healthcare and Education |
| h-index | 69 |
| i10-index | 217 |
| Last Known Institution | Stanford Medicine |
| OpenAlex ID | https://openalex.org/A5023944464 |
| ORCID iD | 0000-0001-6553-3455 |
| Works | 393 |

## Researcher papers

- [Immunohistochemical and Clinical Characterization of the Basal-Like Subtype of Invasive Breast Carcinoma](https://scholariq.org/papers/immunohistochemical-and-clinical-characterization-of-the-basal-like-subtype-of/)
- [Doxorubicin pathways](https://scholariq.org/papers/doxorubicin-pathways/)
- [Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene Discovery](https://scholariq.org/papers/molecular-profiling-of-breast-cancer-cell-lines-defines-relevant-tumor-models/)
- [Distinct patterns of DNA copy number alteration are associated with different clinicopathological features and gene‐expression subtypes of breast cancer](https://scholariq.org/papers/distinct-patterns-of-dna-copy-number-alteration-are-associated-with-different/)
- [Sequence modeling and design from molecular to genome scale with Evo](https://scholariq.org/papers/sequence-modeling-and-design-from-molecular-to-genome-scale-with-evo-2/)
- [The Ontology for Biomedical Investigations](https://scholariq.org/papers/the-ontology-for-biomedical-investigations/)
- [MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care](https://scholariq.org/papers/minimar-minimum-information-for-medical-ai-reporting-developing-reporting/)
- [Massive Transfusion Protocols: The Role of Aggressive Resuscitation Versus Product Ratio in Mortality Reduction](https://scholariq.org/papers/massive-transfusion-protocols-the-role-of-aggressive-resuscitation-versus/)
- [Multimodal data fusion for cancer biomarker discovery with deep learning](https://scholariq.org/papers/multimodal-data-fusion-for-cancer-biomarker-discovery-with-deep-learning/)
- [Gene Expression Patterns in Ovarian Carcinomas](https://scholariq.org/papers/gene-expression-patterns-in-ovarian-carcinomas/)
- [Validation of the American Heart Association Predicting Risk of Cardiovascular Disease Events Equations in Diverse Socioeconomic Groups: The All of Us Cohort](https://scholariq.org/papers/validation-of-the-american-heart-association-predicting-risk-of-cardiovascular/)

## Researcher topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Opioid Use Disorder Treatment](https://scholariq.org/topics/opioid-use-disorder-treatment/)
- [Pain Management and Opioid Use](https://scholariq.org/topics/pain-management-and-opioid-use/)
- [Prostate Cancer Diagnosis and Treatment](https://scholariq.org/topics/prostate-cancer-diagnosis-and-treatment/)

## Researcher university

- [Stanford Medicine](https://scholariq.org/institutions/stanford-medicine/)

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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.