Daniel D. Maeng

1.2k citations
70 papers · 906 · h-index 16

Impact in

Papers in

Daniel D. Maeng

60 papers receiving 852 citations

Peers

Daniel D. Maeng
Comparison fields: 5 of 96
  • Geriatrics and Gerontology 54
  • General Health Professions 351
  • Family Practice 24
  • Applied Microbiology and Biotechnology 12
  • Economics and Econometrics 172
Replace Tobias Freund with:
Tobias Freund Germany
Valerie Overton United States
Jan Heyrman Belgium
Annemarie A. Uijen Netherlands
Ai Oishi United Kingdom
M. Eccles United Kingdom
Ian McRae Australia
Scott Frank United States
William Hogg Canada
Kenneth M. Flegel Canada
Daniel D. Maeng relative to Tobias Freund Germany Tobias Freund's profile →
Citations per field
00.5×1.5×
Tobias Freund · 1×
Citations per year

Countries citing papers authored by Daniel D. Maeng

Since Specialization
Citations

This map shows the geographic impact of Daniel D. 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 D. 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 D. Maeng more than expected).

Fields of papers citing papers by Daniel D. Maeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201784
2 201277
3 201160
4
Reducing long-term cost by transforming primary care: evidence from Geisinger's medical home model.
201253
5 201344
6 201539
7 201938
8 202134
9 201731
10 201531
11 201627
12 201727
13 202022
14 201421
15 200920
16 201718
17 201616
18 201414
19 201714
20 201213

About Daniel D. Maeng

Daniel D. Maeng is a scholar working on General Health Professions, Economics and Econometrics, Pharmacology, Epidemiology and Psychiatry and Mental health, having authored 70 papers that have together received 906 indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (11 papers), Healthcare Policy and Management (8 papers), Chronic Disease Management Strategies (6 papers), Musculoskeletal pain and rehabilitation (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Mental Health Treatment and Access (3 papers), Hepatitis C virus research (3 papers) and Electroconvulsive Therapy Studies (3 papers). The work is most often cited by research in Geriatrics and Gerontology (54 citations), General Health Professions (351 citations), Family Practice (24 citations), Applied Microbiology and Biotechnology (12 citations) and Economics and Econometrics (172 citations). Daniel D. Maeng has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Janet F. Tomcavage, Duane E. Davis, Thomas R. Graf, Grant R. Martsolf, Dennis Patrick Scanlon, John C. Christianson, Frederick J. Bloom, Mark A. Oldham, John B. Bulger and Glenn D. Steele. Their work appears in journals such as Population Health Management, Health Services Research, Journal of Psychosomatic Research, Journal of Pain Research and Health Affairs.

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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