David Ahn

1.1k citations
22 papers · 419 · h-index 9

Impact in

Papers in

    • Diabetes Management and Research 8
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients 3
    • Diabetes Treatment and Management 3
    • Diabetes Management and Education 2
    • Pancreatic function and diabetes 4

David Ahn

18 papers receiving 393 citations

Peers

David Ahn
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 176
  • Bioengineering 23
  • Endocrine and Autonomic Systems 16
  • Genetics 65
  • Health Informatics 3
Replace Ksenia N. Tonyushkina with:
Ksenia N. Tonyushkina United States
Erna Lenters‐Westra Netherlands
Mike Grady United States
Jochen Sieber Germany
Andjela Drincic United States
Muhammad Yakoob Ahmedani Pakistan
Charles K. Botz Canada
Ellie S. Strock United States
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Citations per field
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Citations per year

Countries citing papers authored by David Ahn

Since Specialization
Citations

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

Fields of papers citing papers by David Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017222
2 199926
3 201823
4 201623
5 202122
6 202021
7 202420
8 201615
9 201912
10 20048
11 20196
12 20255
13 20214
14 20213
15 20183
16 20052
17 20181
18 20201
19 20211
20 20191

About David Ahn

David Ahn is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, General Health Professions, Sociology and Political Science and Information Systems, having authored 22 papers that have together received 419 indexed citations. Recurring topics across this work include Diabetes Management and Research (8 papers), Mobile Health and mHealth Applications (4 papers), Pancreatic function and diabetes (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Diabetes Treatment and Management (3 papers), Digital Mental Health Interventions (2 papers), Wireless Body Area Networks (2 papers) and Diabetes Management and Education (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (176 citations), Bioengineering (23 citations), Endocrine and Autonomic Systems (16 citations), Genetics (65 citations) and Health Informatics (3 citations). David Ahn has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include David C. Klonoff, Andjela Drincic, Steven V. Edelman, Jeremy Pettus, David Kerr, Travis C. Porco, Jing Wang, Michaël Racine, Eba Hathout and John Mace. Their work appears in journals such as Journal of Diabetes Science and Technology, Diabetes, The Journal of Clinical Endocrinology & Metabolism, Current Opinion in Endocrinology Diabetes and Obesity and Journal of Medical Internet Research.

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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