Joseph Sutton
Impact in
- Health Informatics top 10%
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- Pharmacogenetics and Drug Metabolism
Papers in ⓘ
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- Pharmacogenetics and Drug Metabolism 4
- Surgery 3
- Lipoproteins and Cardiovascular Health 3
- Co-authors
- Sunil Mathur (1 shared paper)Pedro J. Caraballo (8 shared papers)Iftikhar J. Kullo (6 shared papers)Patrícia A. Russo (1 shared paper)Edward W. Kraegen (1 shared paper)Wayne T. Nicholson (3 shared papers)Ann M. Moyer (3 shared papers)Tom Ruys (1 shared paper)
- Journals
- Journal of Personalized Medicine (2 papers)Pharmacogenomics (1 paper)npj Digital Medicine (1 paper)Biomedical Reports (1 paper)The Medical Journal of Australia (1 paper)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Joseph Sutton
12 papers receiving 275 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 13
- Pharmacology 34
- Health Information Management 16
- Geriatrics and Gerontology 10
- Pediatrics, Perinatology and Child Health 30
Countries citing papers authored by Joseph Sutton
This map shows the geographic impact of Joseph 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 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 Sutton more than expected).
Fields of papers citing papers by Joseph Sutton
This network shows the impact of papers produced by Joseph 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 Sutton. The network helps show where Joseph Sutton may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph 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 | 207 | |
| 2 | 2019 | 28 | |
| 3 | 1974 | 18 | |
| 4 | 2020 | 15 | |
| 5 | Technical Challenges and Opportunities when Implementing Pharmacogenomics Decision Support Integrated in the Electronic Health Record. | 2017 | 4 |
| 6 | 2020 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2015 | 3 | |
| 9 | 2021 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2012 | 1 |
About Joseph Sutton
Joseph Sutton is a scholar working on Pharmacology, Surgery, Geriatrics and Gerontology, Public Health, Environmental and Occupational Health and Statistics and Probability, having authored 12 papers that have together received 288 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Pharmaceutical Practices and Patient Outcomes (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Statistical Methods in Clinical Trials (3 papers), Genomics and Rare Diseases (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Cancer Genomics and Diagnostics (1 paper) and Health Sciences Research and Education (1 paper). The work is most often cited by research in Health Informatics (13 citations), Pharmacology (34 citations), Health Information Management (16 citations), Geriatrics and Gerontology (10 citations) and Pediatrics, Perinatology and Child Health (30 citations). Joseph Sutton has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Sunil Mathur, Pedro J. Caraballo, Iftikhar J. Kullo, Patrícia A. Russo, Edward W. Kraegen, Wayne T. Nicholson, Ann M. Moyer, Tom Ruys, Suzette J. Bielinski and J. B. Hickie. Their work appears in journals such as Journal of Personalized Medicine, Pharmacogenomics, npj Digital Medicine, Biomedical Reports and The Medical Journal of Australia.
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.