# Joshua C. Denny

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

## Facts

| Field | Value |
| --- | --- |
| Citations | 50,828 |
| Field | Genetic Associations and Epidemiology |
| h-index | 107 |
| i10-index | 397 |
| Last Known Institution | National Institutes of Health |
| OpenAlex ID | https://openalex.org/A5070908224 |
| ORCID iD | https://orcid.org/0000-0002-3049-7332 |
| Works | 704 |

## Researcher papers

- [Genetics of rheumatoid arthritis contributes to biology and drug discovery](https://scholariq.org/papers/genetics-of-rheumatoid-arthritis-contributes-to-biology-and-drug-discovery/)
- [Multi-ethnic genome-wide association study for atrial fibrillation](https://scholariq.org/papers/multi-ethnic-genome-wide-association-study-for-atrial-fibrillation/)
- [Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity](https://scholariq.org/papers/protein-altering-variants-associated-with-body-mass-index-implicate-pathways/)
- [PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study](https://scholariq.org/papers/pcsk9-genetic-variants-and-risk-of-type-2-diabetes-a-mendelian-randomisation/)
- [Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization](https://scholariq.org/papers/genetic-association-study-of-qt-interval-highlights-role-for-calcium-signaling/)
- [Use of Genetic Variants Related to Antihypertensive Drugs to Inform on Efficacy and Side Effects](https://scholariq.org/papers/use-of-genetic-variants-related-to-antihypertensive-drugs-to-inform-on-efficacy/)

## Researcher topics

- [Genetic Associations and Epidemiology](https://scholariq.org/topics/genetic-associations-and-epidemiology/)
- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)
- [Genomics and Rare Diseases](https://scholariq.org/topics/genomics-and-rare-diseases/)
- [Electronic Health Records Systems](https://scholariq.org/topics/electronic-health-records-systems/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

## Researcher university

- [National Institutes of Health](https://scholariq.org/institutions/national-institutes-of-health/)

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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.