Robert R. Freimuth

70 papers receiving 2.2k citations

Robert R. Freimuth's Hit Papers

Standardizing terms for clinical pharmacogenetic test results: consensus terms from the Clinical Pharmacogenetics Implementation Consortium (CPIC) 2016 · 354 citations
3540+3+6Years since publication100200300

Peers

Robert R. Freimuth
Comparison fields: 5 of 155
  • Pharmacology 874
  • Health Informatics 38
  • Health Information Management 112
  • Genetics 563
  • Pediatrics, Perinatology and Child Health 372
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Suzette J. Bielinski United States
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Citations per year

Countries citing papers authored by Robert R. Freimuth

Since Specialization
Citations

This map shows the geographic impact of Robert R. Freimuth'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 Robert R. Freimuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert R. Freimuth more than expected).

Fields of papers citing papers by Robert R. Freimuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert R. Freimuth. 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 Robert R. Freimuth. The network helps show where Robert R. Freimuth may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert R. Freimuth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert R. Freimuth Line = papers co-authored together Robert R. Freimuth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Standardizing terms for clinical pharmacogenetic test results: consensus terms from the Clinical Pharmacogenetics Implementation Consortium (CPIC)
Hit paper breakdown →
2016354
2 2004247
3 2013159
4 2013126
5 2014103
6 200493
7 201276
8 200373
9 201673
10 200272
11 201361
12 200056
13 201245
14 201643
15 200141
16 202037
17 201735
18 201933
19 200032
20 200629

About Robert R. Freimuth

Robert R. Freimuth is a scholar working on Molecular Biology, Genetics, Pharmacology, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (29 papers), Genomics and Rare Diseases (21 papers), Pharmacogenetics and Drug Metabolism (18 papers), Semantic Web and Ontologies (14 papers), Ethics in Clinical Research (8 papers), Bioinformatics and Genomic Networks (8 papers), Scientific Computing and Data Management (7 papers) and BRCA gene mutations in cancer (6 papers). The work is most often cited by research in Pharmacology (874 citations), Health Informatics (38 citations), Health Information Management (112 citations), Genetics (563 citations) and Pediatrics, Perinatology and Child Health (372 citations). Robert R. Freimuth has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Richard M. Weinshilboum, Teri E. Klein, James M. Hoffman, Mary V. Relling, Josh F. Peterson, Jochen Buck, Rebecca Blanchard, Michael W.H. Coughtrie, Marc S. Williams and Howard L. McLeod. Their work appears in journals such as Journal of the American Medical Informatics Association, Applied Clinical Informatics, The Pharmacogenomics Journal, Clinical Pharmacology & Therapeutics and Human Mutation.

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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