David Kayne

1.5k citations
5 papers · 363 · h-index 4

Impact in

    • Diabetes Management and Research
    • Diabetes Treatment and Management
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients
    • Diabetes and associated disorders

Papers in

    • Diabetes Management and Research 5
    • Diabetes Treatment and Management 4
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients 2
    • Diabetes Management and Education 1
    • Diabetes and associated disorders 2

David Kayne

5 papers receiving 344 citations

Peers

David Kayne
Comparison fields: 5 of 48
  • Endocrinology, Diabetes and Metabolism 306
  • Genetics 117
  • Surgery 161
  • Bioengineering 18
  • Biophysics 8
Replace Erwin S. Budiman with:
Erwin S. Budiman United States
Mary Voelmle United States
J. Pickup United Kingdom
Ulrike Kamecke Germany
Jort Kropff Netherlands
Narvada Jugnee United Kingdom
Andrew K. Balo United States
Lars Krinelke Germany
Eva Zschornack Germany
Saurabh K. Garg† India
David Kayne relative to Erwin S. Budiman United States Erwin S. Budiman's profile →
Citations per field
00.5×1.5×1.8×
Erwin S. Budiman · 1×
Citations per year

Countries citing papers authored by David Kayne

Since Specialization
Citations

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

Fields of papers citing papers by David Kayne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside David Kayne, 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 Kayne Line = papers co-authored together David Kayne links everyone, so they are left out of the graph.

All Works

About David Kayne

David Kayne is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, General Health Professions, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 363 indexed citations. Recurring topics across this work include Diabetes Management and Research (5 papers), Diabetes Treatment and Management (4 papers), Diabetes and associated disorders (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Mobile Health and mHealth Applications (1 paper) and Diabetes Management and Education (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (306 citations), Genetics (117 citations), Surgery (161 citations), Bioengineering (18 citations) and Biophysics (8 citations). David Kayne has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Todd M. Gross, Neil H. White, John H. Reed, Bruce W. Bode, Daniel Einhorn, John J. Mastrototaro, Allen B. King, Steven V. Edelman, Xuan Li and Francisco J. Pasquel. Their work appears in journals such as Diabetes Technology & Therapeutics, The Diabetes Educator, Journal of Managed Care & Specialty Pharmacy and Clinical Diabetes.

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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