Daniel Maeng

58 papers receiving 827 citations

Peers

Daniel Maeng
Comparison fields: 5 of 95
  • Geriatrics and Gerontology 53
  • Family Practice 25
  • General Health Professions 343
  • Applied Microbiology and Biotechnology 12
  • Economics and Econometrics 165
Replace Tobias Freund with:
Tobias Freund Germany
Valerie Overton United States
Jan Heyrman Belgium
M. Eccles United Kingdom
Annemarie Uijen Netherlands
Joseph P. Frolkis United States
Scott Frank United States
Kenneth M. Flegel Canada
Heike Hansen Germany
Ai Oishi United Kingdom
Daniel Maeng relative to Tobias Freund Germany Tobias Freund's profile →
Citations per field
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Tobias Freund · 1×
Citations per year

Countries citing papers authored by Daniel Maeng

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Maeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201780
2 201276
3 201159
4
Reducing long-term cost by transforming primary care: evidence from Geisinger's medical home model.
201252
5 201344
6 201538
7 201937
8 202131
9 201530
10 201729
11 201728
12 201627
13 201422
14 202021
15 200921
16 201717
17 201615
18 201214
19 201414
20 201513

About Daniel Maeng

Daniel Maeng is a scholar working on General Health Professions, Economics and Econometrics, Epidemiology, Pharmacology and Public Health, Environmental and Occupational Health, having authored 67 papers that have together received 874 indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (12 papers), Healthcare Policy and Management (8 papers), Chronic Disease Management Strategies (7 papers), Musculoskeletal pain and rehabilitation (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Hepatitis C virus research (3 papers), Mental Health Treatment and Access (3 papers) and Health disparities and outcomes (3 papers). The work is most often cited by research in Geriatrics and Gerontology (53 citations), Family Practice (25 citations), General Health Professions (343 citations), Applied Microbiology and Biotechnology (12 citations) and Economics and Econometrics (165 citations). Daniel Maeng has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Janet Tomcavage, Duane E. Davis, Thomas Graf, Grant R. Martsolf, Dennis P. Scanlon, Jon B. Christianson, Frederick J. Bloom, Mark Oldham, John Bulger and Glenn Steele. Their work appears in journals such as Population Health Management, Health Services Research, Health Affairs, Journal of Pain Research and Journal of Psychosomatic 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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