# United States National Library of Medicine

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/united-states-national-library-of-medicine/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 59 |
| Citations | 199,140 |
| City | Bethesda |
| Country | US |
| Description | United States National Library of Medicine is a research organisation in Bethesda, US. OpenAlex records 4,171 works and 199,140 citations for it. 851 researchers list it as their most recent affiliation. |
| Homepage | https://www.nlm.nih.gov/ |
| OpenAlex ID | https://openalex.org/I2800548410 |
| Region | Maryland |
| Researchers | 851 |
| ROR ID | https://ror.org/0060t0j89 |
| Type | archive |
| Wikidata ID | https://www.wikidata.org/wiki/Q611833 |
| Works | 4,171 |

## University papers

- [Comparison of RNA-seq and microarray-based models for clinical endpoint prediction](https://scholariq.org/papers/comparison-of-rna-seq-and-microarray-based-models-for-clinical-endpoint/)
- [Integrative Annotation of 21,037 Human Genes Validated by Full-Length cDNA Clones](https://scholariq.org/papers/integrative-annotation-of-21-037-human-genes-validated-by-full-length-cdna/)

## University top topics

Showing 8 of 25.

- [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/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Health Sciences Research and Education](https://scholariq.org/topics/health-sciences-research-and-education/)
- [Electronic Health Records Systems](https://scholariq.org/topics/electronic-health-records-systems/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Image Retrieval and Classification Techniques](https://scholariq.org/topics/image-retrieval-and-classification-techniques/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.