# Christopher G. Chute

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/christopher-g-chute/

## Facts

| Field | Value |
| --- | --- |
| Citations | 33,323 |
| Field | Biomedical Text Mining and Ontologies |
| h-index | 87 |
| i10-index | 314 |
| Last Known Institution | Johns Hopkins University |
| OpenAlex ID | https://openalex.org/A5060390916 |
| ORCID iD | https://orcid.org/0000-0001-5437-2545 |
| Works | 622 |

## Researcher papers

- [The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment](https://scholariq.org/papers/the-national-covid-cohort-collaborative-n3c-rationale-design-infrastructure-and/)
- [The Human Phenotype Ontology in 2024: phenotypes around the world](https://scholariq.org/papers/the-human-phenotype-ontology-in-2024-phenotypes-around-the-world/)
- [Return of Genomic Results to Research Participants: The Floor, the Ceiling, and the Choices In Between](https://scholariq.org/papers/return-of-genomic-results-to-research-participants-the-floor-the-ceiling-and-the/)
- [Trends in Mastectomy Rates at the Mayo Clinic Rochester: Effect of Surgical Year and Preoperative Magnetic Resonance Imaging](https://scholariq.org/papers/trends-in-mastectomy-rates-at-the-mayo-clinic-rochester-effect-of-surgical-year/)
- [Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative](https://scholariq.org/papers/clinical-characterization-and-prediction-of-clinical-severity-of-sars-cov-2/)
- [Automated coronary calcium scoring using deep learning with multicenter external validation](https://scholariq.org/papers/automated-coronary-calcium-scoring-using-deep-learning-with-multicenter-external/)

## Researcher topics

- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)
- [Semantic Web and Ontologies](https://scholariq.org/topics/semantic-web-and-ontologies/)
- [Electronic Health Records Systems](https://scholariq.org/topics/electronic-health-records-systems/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [COVID-19 Clinical Research Studies](https://scholariq.org/topics/covid-19-clinical-research-studies/)

## Researcher university

- [Johns Hopkins University](https://scholariq.org/institutions/johns-hopkins-university/)

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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.