Joseph Sutton
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Pharmacogenetics and Drug Metabolism
Papers in
-
- 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)Wayne T. Nicholson (3 shared papers)Patrícia A. Russo (1 shared paper)Suzette J. Bielinski (4 shared papers)Jyothsna Giri (2 shared papers)Ann M. Moyer (3 shared papers)
- Journals
- Journal of Personalized Medicine (2 papers)Journal of the American Medical Informatics Association (1 paper)Pharmacogenomics (1 paper)International Journal of Pharmacy Practice (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- United StatesGermanyUnited Arab Emirates
In The Last Decade
Joseph Sutton
12 papers receiving 326 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 16
- Pharmacology 38
- Health Information Management 12
- Geriatrics and Gerontology 6
- Cancer Research 21
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 | 252 | |
| 2 | 2019 | 31 | |
| 3 | 1974 | 18 | |
| 4 | 2020 | 16 | |
| 5 | Technical Challenges and Opportunities when Implementing Pharmacogenomics Decision Support Integrated in the Electronic Health Record. | 2017 | 5 |
| 6 | 2024 | 4 | |
| 7 | 2020 | 4 | |
| 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, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 12 papers that have together received 339 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Genomics and Rare Diseases (2 papers), Statistical Methods in Clinical Trials (2 papers), Cancer Genomics and Diagnostics (1 paper), Obesity, Physical Activity, Diet (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Health Informatics (16 citations), Pharmacology (38 citations), Health Information Management (12 citations), Geriatrics and Gerontology (6 citations) and Cancer Research (21 citations). Joseph Sutton has collaborated with scholars based in United States, Germany and United Arab Emirates. Frequent co-authors include Sunil Mathur, Pedro J. Caraballo, Iftikhar J. Kullo, Wayne T. Nicholson, Patrícia A. Russo, Suzette J. Bielinski, Jyothsna Giri, Ann M. Moyer, Jessica Wright and Mark A. Parkulo. Their work appears in journals such as Journal of Personalized Medicine, Journal of the American Medical Informatics Association, Pharmacogenomics, International Journal of Pharmacy Practice and npj Digital Medicine.
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.