National Center for Biotechnology Information · 1×
×1.83k/2kHIM
×0.8989/1kHI
×0.717k/26kAI
×7.286/12MT
×0.124k/429kMB
Citations per year
'16
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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).
Fields of papers published by authors at United States National Library of Medicine
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.
About United States National Library of Medicine
In recent decades, authors affiliated with United States National Library of Medicine have published 2.4k papers, which have received a total of 71.0k indexed citations . Scholars at this organization have produced 15 papers in Medical Terminology, 142 papers in Health Information Management, 527 papers in Artificial Intelligence, 262 papers in General Health Professions and 17 papers in Library and Information Sciences on the topics of Biomedical Text Mining and Ontologies (480 papers), Semantic Web and Ontologies (195 papers), Topic Modeling (150 papers), Image Retrieval and Classification Techniques (134 papers), Health Sciences Research and Education (130 papers), Electronic Health Records Systems (121 papers), Natural Language Processing Techniques (112 papers) and AI in cancer detection (110 papers). Their work is cited by papers focused on Health Information Management (3.1k citations), Health Informatics (989 citations), Artificial Intelligence (17.0k citations), Medical Terminology (86 citations) and Molecular Biology (23.8k 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 Journal of the American Medical Informatics Association, American Journal of Public Health, Journal of Biomedical Informatics, Journal of the Medical Library Association JMLA and IT Professional. Some of United States National Library of Medicine's most productive authors include Olivier Bodenreider, Alan R. Aronson, Alexa T. McCray, Sameer Antani, Stephen H. Bryant, Stephen F. Altschul, Betsy L. Humphreys, Aron Marchler‐Bauer, Paul A. Fontelo and Tony Tse.
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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