Joan Kapusnik-Uner

20 papers and 216 indexed citations i.

About

Joan Kapusnik-Uner is a scholar working on Molecular Biology, Artificial Intelligence and Geriatrics and Gerontology. According to data from OpenAlex, Joan Kapusnik-Uner has authored 20 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Artificial Intelligence and 7 papers in Geriatrics and Gerontology. Recurrent topics in Joan Kapusnik-Uner’s work include Biomedical Text Mining and Ontologies (8 papers), Pharmaceutical Practices and Patient Outcomes (7 papers) and Semantic Web and Ontologies (7 papers). Joan Kapusnik-Uner is often cited by papers focused on Biomedical Text Mining and Ontologies (8 papers), Pharmaceutical Practices and Patient Outcomes (7 papers) and Semantic Web and Ontologies (7 papers). Joan Kapusnik-Uner collaborates with scholars based in United States. Joan Kapusnik-Uner's co-authors include Olivier Bodenreider, Candy Tsourounis, Kin Wah Fung, Carol A. Broverman, Thắng Nguyễn, John J. Schmitz, C J Hackbarth, Christopher Ochs, B. Joseph Guglielmo and James Geller and has published in prestigious journals such as Annals of the New York Academy of Sciences, Clinical Pharmacology & Therapeutics and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Joan Kapusnik-Uner i

Fields of papers citing papers by Joan Kapusnik-Uner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Kapusnik-Uner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joan Kapusnik-Uner. The network helps show where Joan Kapusnik-Uner may publish in the future.

Countries citing papers authored by Joan Kapusnik-Uner

Since Specialization
Citations

This map shows the geographic impact of Joan Kapusnik-Uner's research. 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 Joan Kapusnik-Uner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Kapusnik-Uner 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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