Paul R. Sutton

826 total citations
9 papers, 585 citations indexed

About

Paul R. Sutton is a scholar working on Health Information Management, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Paul R. Sutton has authored 9 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health Information Management, 2 papers in Surgery and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Paul R. Sutton's work include Electronic Health Records Systems (4 papers), Hormonal and reproductive studies (2 papers) and Healthcare Technology and Patient Monitoring (2 papers). Paul R. Sutton is often cited by papers focused on Electronic Health Records Systems (4 papers), Hormonal and reproductive studies (2 papers) and Healthcare Technology and Patient Monitoring (2 papers). Paul R. Sutton collaborates with scholars based in United States, Slovakia and South Africa. Paul R. Sutton's co-authors include William J. Bremner, Alvin M. Matsumoto, John K. Amory, Bradley D. Anawalt, Kirk A. Easley, Nelson B. Watts, J. Lisa Tenover, Angad Singh, Michael G. Leu and John B. Lynch and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Heart and Clinical Journal of the American Society of Nephrology.

In The Last Decade

Paul R. Sutton

9 papers receiving 568 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul R. Sutton United States 6 349 171 132 109 77 9 585
Neera Agrwal United States 8 589 1.7× 311 1.8× 108 0.8× 208 1.9× 21 0.3× 22 839
Chiara Diazzi Italy 11 263 0.8× 85 0.5× 97 0.7× 17 0.2× 17 0.2× 32 502
Grażyna Deja Poland 14 415 1.2× 136 0.8× 33 0.3× 14 0.1× 8 0.1× 55 788
Abdullah Bennakhi Kuwait 16 197 0.6× 78 0.5× 5 0.0× 12 0.1× 29 0.4× 24 744
Soung Hoon Chang South Korea 11 55 0.2× 78 0.5× 58 0.4× 28 0.3× 68 0.9× 25 492
Payam Hakimian United States 6 79 0.2× 99 0.6× 19 0.1× 19 0.2× 18 0.2× 9 325
See Kwok United Kingdom 16 227 0.7× 65 0.4× 6 0.0× 22 0.2× 36 0.5× 39 696
Jean de Dieu Tapsoba United States 15 30 0.1× 55 0.3× 12 0.1× 9 0.1× 44 0.6× 37 532
Caroline Antoine Belgium 11 171 0.5× 34 0.2× 40 0.3× 6 0.1× 145 1.9× 27 399
Fei-Li Zhao China 13 47 0.1× 42 0.2× 45 0.3× 25 0.2× 23 0.3× 29 474

Countries citing papers authored by Paul R. Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Paul R. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul R. Sutton

This figure shows the co-authorship network connecting the top 25 collaborators of Paul R. Sutton. A scholar is included among the top collaborators of Paul R. Sutton 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 Paul R. Sutton. Paul R. Sutton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Leu, Michael G., Angad Singh, Nikita Pozdeyev, et al.. (2022). Lessons Learned from Creating Alert Governance during an Electronic Health Record Transition. 6(1). e50–e56. 1 indexed citations
2.
Starks, Helene, et al.. (2021). Harnessing the Electronic Health Record to Actively Support Providers with Guideline-Directed Telemetry Use. Applied Clinical Informatics. 12(5). 996–1001. 3 indexed citations
3.
Singh, Angad, Ethan Tseng, John B. Lynch, et al.. (2020). Responding to COVID-19: The UW Medicine Information Technology Services Experience. Applied Clinical Informatics. 11(2). 265–275. 113 indexed citations
4.
Sutton, Paul R. & Thomas H. Payne. (2019). Interoperability of Electronic Health Information and Care of Dialysis Patients in the United States. Clinical Journal of the American Society of Nephrology. 14(10). 1536–1538. 8 indexed citations
5.
Kaplan, Stephen J., Steven H. Mitchell, Medley Gatewood, et al.. (2017). The Effect of Computerized Physician Order Entry Template Modifications on the Administration of High-Risk Medications in Older Adults in the Emergency Department. Drugs & Aging. 34(10). 793–801. 11 indexed citations
6.
White, Andrew A., Christy M. McKinney, Noah G. Hoffman, & Paul R. Sutton. (2016). Optimizing vitamin D naming conventions in computerized order entry to support high-value care. Journal of the American Medical Informatics Association. 24(1). 172–175. 11 indexed citations
8.
Coviello, Andrea D., Alvin M. Matsumoto, William J. Bremner, et al.. (2005). Low-Dose Human Chorionic Gonadotropin Maintains Intratesticular Testosterone in Normal Men with Testosterone-Induced Gonadotropin Suppression. The Journal of Clinical Endocrinology & Metabolism. 90(5). 2595–2602. 96 indexed citations
9.
Amory, John K., Nelson B. Watts, Kirk A. Easley, et al.. (2004). Exogenous Testosterone or Testosterone with Finasteride Increases Bone Mineral Density in Older Men with Low Serum Testosterone. The Journal of Clinical Endocrinology & Metabolism. 89(2). 503–510. 341 indexed citations

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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2026