David Scheinker

87 papers receiving 994 citations

Peers

David Scheinker
Comparison fields: 5 of 111
  • Health Informatics 38
  • Endocrinology, Diabetes and Metabolism 295
  • Emergency Medical Services 110
  • Health Information Management 62
  • Cardiology and Cardiovascular Medicine 104
Replace Henry C. Chueh with:
Henry C. Chueh United States
Kayo Waki Japan
Jennifer M. Lobo United States
Douglas McNair United States
Jamie S. Hirsch United States
Liz Wing United States
David M. Maslove Canada
Ryan Arnold United States
Stephen A. Deppen United States
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David Scheinker relative to Henry C. Chueh United States Henry C. Chueh's profile →
Citations per field
00.5×8.7×
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Citations per year

Countries citing papers authored by David Scheinker

Since Specialization
Citations

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

Fields of papers citing papers by David Scheinker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201890
2 202073
3 202059
4 201655
5 202148
6 202042
7 201933
8 201731
9 201930
10 202130
11 202328
12 202422
13 201822
14 202121
15 202219
16 202019
17 201719
18 202119
19 202116
20 202215

About David Scheinker

David Scheinker is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and Emergency Medical Services, having authored 97 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diabetes Management and Research (22 papers), Telemedicine and Telehealth Implementation (9 papers), Diabetes and associated disorders (7 papers), Healthcare Operations and Scheduling Optimization (7 papers), Pancreatic function and diabetes (6 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Hemodynamic Monitoring and Therapy (5 papers) and Mobile Health and mHealth Applications (4 papers). The work is most often cited by research in Health Informatics (38 citations), Endocrinology, Diabetes and Metabolism (295 citations), Emergency Medical Services (110 citations), Health Information Management (62 citations) and Cardiology and Cardiovascular Medicine (104 citations). David Scheinker has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Alexander Scheinker, Priya Prahalad, David M. Maahs, Margaret L. Brandeau, Fátima Rodríguez, Michael Fairley, Ananta Addala, Andrew Ward, Korey K. Hood and Manisha Desai. Their work appears in journals such as Diabetes, Circulation, Journal of Diabetes Science and Technology, The Journal of Clinical Endocrinology & Metabolism and Frontiers in Endocrinology.

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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