Daniel Maeng

1.2k citations
67 papers · 826 indexed · h-index 16

Impact in

Papers in

Daniel Maeng

56 papers receiving 776 citations

Peers

Daniel Maeng
Comparison fields: 5 of 102
  • General Health Professions 477
  • Geriatrics and Gerontology 71
  • Family Practice 39
  • Economics and Econometrics 307
  • Applied Microbiology and Biotechnology 14
Replace Annemarie Uijen with:
Annemarie Uijen Netherlands
Cornelia Jäger Germany
Jan Heyrman Belgium
Tobias Freund Germany
Valerie Overton United States
Frank Peters-Klimm Germany
Annie Blyth United Kingdom
Ai Oishi United Kingdom
Andrew Olenski United States
Dominique Paulus United States
Daniel Maeng relative to Annemarie Uijen Netherlands Annemarie Uijen's profile →
Citations per field
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Annemarie Uijen · 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 201774
2 201274
3 201158
4
Reducing long-term cost by transforming primary care: evidence from Geisinger's medical home model.
201252
5 201341
6 201537
7 201935
8 202129
9 201528
10 201728
11 201625
12 201724
13 202021
14 201421
15 200920
16 201717
17 201615
18 201513
19 201213
20 201413

About Daniel Maeng

Daniel Maeng is a scholar working on General Health Professions, Economics and Econometrics, Epidemiology, Pharmacology and Clinical Psychology, having authored 67 papers that have together received 826 indexed citations. Recurring topics across this work include Healthcare Policy and Management (20 papers), Primary Care and Health Outcomes (20 papers), Health Systems, Economic Evaluations, Quality of Life (14 papers), Chronic Disease Management Strategies (10 papers), Patient Satisfaction in Healthcare (7 papers), Musculoskeletal pain and rehabilitation (6 papers), Emergency and Acute Care Studies (6 papers) and Health disparities and outcomes (5 papers). The work is most often cited by research in General Health Professions (477 citations), Geriatrics and Gerontology (71 citations), Family Practice (39 citations), Economics and Econometrics (307 citations) and Applied Microbiology and Biotechnology (14 citations). Daniel Maeng has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Janet Tomcavage, Thomas Graf, Duane E. Davis, 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 the American Pharmacists Association.

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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