Gregory Steinberg

10 papers receiving 402 citations

Peers

Gregory Steinberg
Comparison fields: 5 of 81
  • Family Practice 109
  • Geriatrics and Gerontology 45
  • Health Information Management 29
  • Cardiology and Cardiovascular Medicine 138
  • Applied Psychology 23
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Henry Wei United States
Shangzhi Xiong China
Jen‐Chen Tsai Taiwan
Alec B. Platt United States
Suebsarn Ruksakulpiwat Thailand
Rachelle Louise Cutler Australia
Robert Robinson United States
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Citations per year

Countries citing papers authored by Gregory Steinberg

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Steinberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory Steinberg. 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 Gregory Steinberg. The network helps show where Gregory Steinberg may publish in the future.

Co-authors

The 25 scholars most cited alongside Gregory Steinberg, 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 Gregory Steinberg Line = papers co-authored together Gregory Steinberg links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2016192
2 201762
3 201646
4 201730
5
Using a claims data-based sentinel system to improve compliance with clinical guidelines: results of a randomized prospective study.
200529
6 201719
7
Novel predictive models for metabolic syndrome risk: a "big data" analytic approach.
201415
8 201513
9 20177
10 20151

About Gregory Steinberg

Gregory Steinberg is a scholar working on Family Practice, Epidemiology, Cardiology and Cardiovascular Medicine, General Health Professions and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 414 indexed citations. Recurring topics across this work include Medication Adherence and Compliance (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Chronic Disease Management Strategies (2 papers), Child Development and Digital Technology (1 paper), Obesity and Health Practices (1 paper), Health and Lifestyle Studies (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Family Practice (109 citations), Geriatrics and Gerontology (45 citations), Health Information Management (29 citations), Cardiology and Cardiovascular Medicine (138 citations) and Applied Psychology (23 citations). Gregory Steinberg has collaborated with scholars based in United States, Spain and Taiwan. Frequent co-authors include Claire M. Spettell, Henry Wei, Jay Rajda, Renée J.G. Arnold, José M. Castellano, Fernando García-Alonso, Irene Lizano‐Díez, Allison Freeman, Valentı́n Fuster and Sameer Bansilal. Their work appears in journals such as Journal of the American College of Cardiology, JAMA Pediatrics, Telemedicine Journal and e-Health, Diabetes Care and American Heart Journal.

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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