Joseph A. Sutton
Impact in
- Health Informatics top 10%
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
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- Pharmacogenetics and Drug Metabolism 6
-
- Pharmaceutical Practices and Patient Outcomes 3
- Co-authors
- Sunil Mathur (1 shared paper)Pedro J. Caraballo (9 shared papers)Iftikhar J. Kullo (6 shared papers)Suzette J. Bielinski (4 shared papers)Tom Ruys (1 shared paper)Edward W. Kraegen (1 shared paper)Mark A. Parkulo (3 shared papers)J. B. Hickie (1 shared paper)
- Journals
- Journal of Personalized Medicine (2 papers)Genetics in Medicine (1 paper)Biomedical Reports (1 paper)The Medical Journal of Australia (1 paper)Pharmacogenomics (1 paper)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Joseph A. Sutton
14 papers receiving 419 citations
Peers
Comparison fields: 5 of 102
- Health Informatics 16
- Pharmacology 73
- Health Information Management 13
- Geriatrics and Gerontology 8
- Transplantation 6
Countries citing papers authored by Joseph A. Sutton
This map shows the geographic impact of Joseph A. Sutton'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 Joseph A. Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph A. Sutton more than expected).
Fields of papers citing papers by Joseph A. Sutton
This network shows the impact of papers produced by Joseph A. Sutton. 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 Joseph A. Sutton. The network helps show where Joseph A. Sutton may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph A. Sutton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 270 | |
| 2 | 2022 | 56 | |
| 3 | 2019 | 35 | |
| 4 | 1974 | 18 | |
| 5 | 2020 | 17 | |
| 6 | 2023 | 14 | |
| 7 | 2021 | 6 | |
| 8 | 2024 | 6 | |
| 9 | Technical Challenges and Opportunities when Implementing Pharmacogenomics Decision Support Integrated in the Electronic Health Record. | 2017 | 5 |
| 10 | 2020 | 4 | |
| 11 | 2015 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2025 | 0 |
About Joseph A. Sutton
Joseph A. Sutton is a scholar working on Pharmacology, Geriatrics and Gerontology, Pediatrics, Perinatology and Child Health, Statistics and Probability and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 440 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Lipoproteins and Cardiovascular Health (3 papers), Pharmaceutical Practices and Patient Outcomes (3 papers), Statistical Methods in Clinical Trials (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Genomics and Rare Diseases (2 papers), Cardiac Valve Diseases and Treatments (2 papers) and Pharmaceutical studies and practices (2 papers). The work is most often cited by research in Health Informatics (16 citations), Pharmacology (73 citations), Health Information Management (13 citations), Geriatrics and Gerontology (8 citations) and Transplantation (6 citations). Joseph A. Sutton has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Sunil Mathur, Pedro J. Caraballo, Iftikhar J. Kullo, Suzette J. Bielinski, Tom Ruys, Edward W. Kraegen, Mark A. Parkulo, J. B. Hickie, Jessica A. Wright and Ann M. Moyer. Their work appears in journals such as Journal of Personalized Medicine, Genetics in Medicine, Biomedical Reports, The Medical Journal of Australia and Pharmacogenomics.
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.