United States National Library of Medicine

1.5k papers and 31.7k indexed citations i.

About

In recent decades, authors affiliated with United States National Library of Medicine have published 1.5k papers, which have received a total of 31.7k indexed citations. Scholars at this organization have produced 455 papers in Molecular Biology, 377 papers in Artificial Intelligence and 232 papers in General Health Professions on the topics of Biomedical Text Mining and Ontologies (353 papers), Semantic Web and Ontologies (158 papers) and Health Sciences Research and Education (117 papers). Their work is cited by papers focused on Molecular Biology (11.8k citations), Artificial Intelligence (8.3k citations) and General Health Professions (3.3k citations). Authors at United States National Library of Medicine collaborate with scholars in United States, United Kingdom and France and have published in prestigious journals including Nature, Science and New England Journal of Medicine. Some of United States National Library of Medicine's most productive authors include Alan R. Aronson, Alexa T. McCray, Stephen F. Altschul, Betsy L. Humphreys, D. A. B. Lindberg, Olivier Bodenreider, Paul Fontelo, L. Aravind, Samuel Karlin and Eugene V. Koonin.

In The Last Decade

Fields of papers published by authors at United States National Library of Medicine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with United States National Library of Medicine at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with United States National Library of Medicine at the time of their publication.

Countries citing scholars working at United States National Library of Medicine

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at United States National Library of Medicine. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at United States National Library of Medicine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites United States National Library of Medicine more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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