Joan Kapusnik-Uner

512 total citations
21 papers, 238 citations indexed

About

Joan Kapusnik-Uner is a scholar working on Molecular Biology, Geriatrics and Gerontology and Artificial Intelligence. According to data from OpenAlex, Joan Kapusnik-Uner has authored 21 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Geriatrics and Gerontology and 7 papers in Artificial Intelligence. Recurrent topics in Joan Kapusnik-Uner's work include Biomedical Text Mining and Ontologies (8 papers), Semantic Web and Ontologies (7 papers) and Pharmaceutical Practices and Patient Outcomes (7 papers). Joan Kapusnik-Uner is often cited by papers focused on Biomedical Text Mining and Ontologies (8 papers), Semantic Web and Ontologies (7 papers) and Pharmaceutical Practices and Patient Outcomes (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, John J. Schmitz, Carol A. Broverman, Thắng Nguyễn, Christopher Ochs, Meena Sachdeva, James Geller and C J Hackbarth 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

Joan Kapusnik-Uner

20 papers receiving 227 citations

Peers

Joan Kapusnik-Uner

HIM

CAM

Ettore Marconi Italy

Thaís Teles de Souza Brazil

Matthew J. Seamon United States

Pujing Zhao China

Vaishali Patadia United States

Ze Yu China

Stephen A. Goldman United States

Mark A. Parkulo United States

Mukta N. Chowta India

Joseph P. Nathan United States

Ettore Marconi Italy

Joan Kapusnik-Uner

28 ×0.4

50 ×1.0

11 ×0.3

12 ×0.3

HIM

19 ×0.5

CAM

Citations per year, relative to Joan Kapusnik-Uner Joan Kapusnik-Uner (= 1×) peers Ettore Marconi

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Kapusnik-Uner. A scholar is included among the top collaborators of Joan Kapusnik-Uner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joan Kapusnik-Uner. Joan Kapusnik-Uner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Dolin, Robert H., Carla Álvarez, Randolph C. Barrows, et al.. (2024). PillHarmonics: An Orchestrated Pharmacogenetics Medication Clinical Decision Support Service. Applied Clinical Informatics. 15(2). 378–387. 4 indexed citations

Fung, Kin Wah, Fitsum Baye, Joan Kapusnik-Uner, & Clement J. McDonald. (2021). Using Medicare Data to Assess the Proarrhythmic Risk of Non-Cardiac Treatment Drugs that Prolong the QT Interval in Older Adults: An Observational Cohort Study. Drugs - Real World Outcomes. 8(2). 173–185. 5 indexed citations

Schmitz, John J., et al.. (2021). Iodine allergy: Common misperceptions. American Journal of Health-System Pharmacy. 78(9). 781–793. 19 indexed citations

Kapusnik-Uner, Joan, et al.. (2019). Successful deployment of drug-disease interaction clinical decision support across multiple Kaiser Permanente regions. Journal of the American Medical Informatics Association. 26(10). 905–910. 8 indexed citations

Matuszewski, Karl, et al.. (2018). Variation in Generic Drug Manufacturers' Product Characteristics.. PubMed Central. 43(8). 485–504. 1 indexed citations

Chen, Ling, et al.. (2017). Quality assurance of chemical ingredient classification for the National Drug File – Reference Terminology. Journal of Biomedical Informatics. 73. 30–42. 6 indexed citations

Miller, Michael J., et al.. (2016). Depression screening for prescribed medications with mental health risk: Considerations for clinical decision support, workflow redesign, and health information exchange arrangements. Research in Social and Administrative Pharmacy. 13(3). 485–493. 1 indexed citations

Perl, Yehoshua, et al.. (2016). Introducing the Big Knowledge to Use (BK2U) challenge. Annals of the New York Academy of Sciences. 1387(1). 12–24. 5 indexed citations

Ochs, Christopher, et al.. (2015). Drug-drug Interaction Discovery Using Abstraction Networks for "National Drug File - Reference Terminology" Chemical Ingredients.. PubMed. 2015. 973–82. 9 indexed citations

10.

Cheng, Christine M., et al.. (2013). Prevalence and Therapeutic Classifications of FDA-Approved Prescription Drugs With Boxed Warnings. Therapeutic Innovation & Regulatory Science. 48(2). 165–172. 1 indexed citations

11.

Kapusnik-Uner, Joan, et al.. (2013). Identifying knowledge gaps in the labeling of medications for geriatric patients.. PubMed. 38(9). 535–40. 5 indexed citations

12.

Kapusnik-Uner, Joan. (2012). First DataBank, Inc.. 358–361. 9 indexed citations

13.

Kapusnik-Uner, Joan, et al.. (2011). An approximate matching method for clinical drug names.. PubMed. 2011. 1117–26. 17 indexed citations

14.

Kapusnik-Uner, Joan, et al.. (2010). Methods for managing variation in clinical drug names.. PubMed. 2010. 637–41. 15 indexed citations

15.

Tsourounis, Candy, et al.. (2001). Dietary Supplement Survey of Pharmacists: Personal and Professional Practices. The Journal of Alternative and Complementary Medicine. 7(6). 667–680. 45 indexed citations

16.

Broverman, Carol A., et al.. (1998). A concept-based medication vocabulary: an essential requirement for pharmacy decision support.. PubMed. 18(1). 1–20. 5 indexed citations

17.

Broverman, Carol A., et al.. (1998). The future of knowledge-based components in the electronic health record.. PubMed. 52 Pt 1. 457–61. 4 indexed citations

18.

Broverman, Carol A., et al.. (1998). The need for a concept-based medication vocabulary as an enabling infrastructure in health informatics.. PubMed. 865–9. 12 indexed citations

19.

Lam, Y. W. Francis, Joan Kapusnik-Uner, Meena Sachdeva, et al.. (1990). The pharmacokinetics of teicoplanin in varying degrees of renal function. Clinical Pharmacology & Therapeutics. 47(5). 655–661. 16 indexed citations

20.

Kapusnik-Uner, Joan. (1989). Risk of exposure to HIV infection for clinical pharmacists. American Journal of Health-System Pharmacy. 46(12_suppl). S14–S15.

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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