Daniel Maeng

1.2k total citations
67 papers, 826 citations indexed

About

Daniel Maeng is a scholar working on General Health Professions, Economics and Econometrics and Epidemiology. According to data from OpenAlex, Daniel Maeng has authored 67 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in General Health Professions, 31 papers in Economics and Econometrics and 14 papers in Epidemiology. Recurrent topics in Daniel Maeng's work include Healthcare Policy and Management (20 papers), Primary Care and Health Outcomes (20 papers) and Health Systems, Economic Evaluations, Quality of Life (14 papers). Daniel Maeng is often cited by papers focused on Healthcare Policy and Management (20 papers), Primary Care and Health Outcomes (20 papers) and Health Systems, Economic Evaluations, Quality of Life (14 papers). Daniel Maeng collaborates with scholars based in United States, Canada and Germany. Daniel Maeng's co-authors include Janet Tomcavage, Thomas Graf, Duane E. Davis, Grant R. Martsolf, Dennis P. Scanlon, Jon B. Christianson, Frederick J. Bloom, Mark Oldham, Glenn Steele and John Bulger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Daniel Maeng

56 papers receiving 776 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Maeng United States 16 477 307 173 96 80 67 826
Ian McRae Australia 20 535 1.1× 339 1.1× 368 2.1× 175 1.8× 27 0.3× 55 1.1k
Lilli Herzig Switzerland 17 304 0.6× 182 0.6× 249 1.4× 129 1.3× 26 0.3× 62 874
Annemarie Uijen Netherlands 14 502 1.1× 331 1.1× 450 2.6× 132 1.4× 20 0.3× 43 933
Noreen Dadirai Mdege United Kingdom 15 333 0.7× 128 0.4× 276 1.6× 191 2.0× 34 0.4× 57 999
Cornelia Jäger Germany 10 452 0.9× 138 0.4× 102 0.6× 148 1.5× 27 0.3× 14 735
Valerie Overton United States 12 688 1.4× 156 0.5× 368 2.1× 145 1.5× 30 0.4× 16 1.2k
Dominique Paulus United States 15 333 0.7× 153 0.5× 151 0.9× 273 2.8× 39 0.5× 91 798
Hueiming Liu Australia 14 294 0.6× 134 0.4× 185 1.1× 122 1.3× 22 0.3× 63 707
Sven Streit Switzerland 20 284 0.6× 321 1.0× 221 1.3× 102 1.1× 39 0.5× 85 1000
Tobias Freund Germany 21 762 1.6× 347 1.1× 538 3.1× 187 1.9× 19 0.2× 56 1.5k

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-authorship network of co-authors of Daniel Maeng

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Maeng. A scholar is included among the top collaborators of Daniel Maeng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Maeng. Daniel Maeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Yue, et al.. (2025). Variations in State Essential Caregiver Programs for Nursing Homes During the COVID-19 Pandemic. Journal of Applied Gerontology. 44(9). 1533–1542.
2.
3.
Maeng, Daniel, et al.. (2024). 30-Month Impact of Medications for Opioid Use Disorder on Acute Care Utilization in Rural Communities. Journal of Addiction Medicine. 19(2). 143–149. 1 indexed citations
4.
Maeng, Daniel, et al.. (2024). Enhanced Primary Care for Severe Mental Illness Reduces Inpatient Admission and Emergency Room Utilization Rates. Population Health Management. 27(6). 382–389.
5.
6.
Poleshuck, Ellen, Debra Fox, Beau Abar, et al.. (2024). Randomized clinical trial protocol of an app-based intervention to prevent postpartum depression. Contemporary Clinical Trials. 149. 107800–107800.
7.
Maeng, Daniel, et al.. (2024). Certified Community Behavioral Health Clinic Demonstration Impact on Health Care Utilization Among Non-Medicaid Patients with Severe Mental Illnesses. Population Health Management. 27(5). 345–352. 1 indexed citations
8.
Garrison, David, et al.. (2023). The rapid stabilization pathway: impact of a brief inpatient intervention on the length of stay and readmissions among psychiatrically hospitalized adolescents. Child and Adolescent Mental Health. 28(4). 481–487. 2 indexed citations
9.
Maeng, Daniel, et al.. (2022). Primary Care Behavioral Health Integration and Care Utilization: Implications for Patient Outcome and Healthcare Resource Use. Journal of General Internal Medicine. 37(11). 2691–2697. 4 indexed citations
10.
Maeng, Daniel, et al.. (2021). Prevalent Gaps in Understanding the Features of Catatonia Among Psychiatrists, Psychiatry Trainees, and Medical Students. The Journal of Clinical Psychiatry. 82(5). 29 indexed citations
11.
Oldham, Mark, et al.. (2020). Integration of a proactive, multidisciplinary mental health team on hospital medicine improves provider and nursing satisfaction. Journal of Psychosomatic Research. 134. 110112–110112. 21 indexed citations
12.
Maeng, Daniel, et al.. (2020). Impact of integrating psychiatric assessment officers via telepsychiatry on rural hospitals' emergency revisit rates. Journal of Psychosomatic Research. 133. 109997–109997. 9 indexed citations
13.
Maeng, Daniel, et al.. (2019). Utilization of an Employee Behavioral Health Program and Its Effects on Outcomes for Depression and Anxiety Disorders. Journal of Occupational and Environmental Medicine. 61(10). 812–817. 8 indexed citations
14.
Maeng, Daniel, Jove Graham, Michael Bogart, Jing Hao, & Eric A. Wright. (2018). Impact of a pharmacist-led diabetes management on outcomes, utilization, and cost. ClinicoEconomics and Outcomes Research. Volume 10. 551–562. 8 indexed citations
15.
Hao, Jing, et al.. (2017). Assessing Healthcare Utilization and Cost of Care Among Rheumatoid Arthritis Patients: A Comparison of Electronic Medical Records and Claims Data. 43(4). 1 indexed citations
16.
Maeng, Daniel, et al.. (2017). Impact of a value-based insurance design for physical therapy to treat back pain on care utilization and cost. Journal of Pain Research. Volume 10. 1337–1346. 10 indexed citations
17.
Maeng, Daniel, Xiaowei Yan, Thomas Graf, & Glenn Steele. (2016). Value of primary care diabetes management: long-term cost impacts.. PubMed. 22(3). e88–94. 4 indexed citations
18.
Maeng, Daniel, et al.. (2016). The impact of a regional patient-centered medical home initiative on cost of care among commercially insured population in the US. Risk Management and Healthcare Policy. 9. 67–67. 2 indexed citations
19.
Maeng, Daniel, Xiaowei Yan, Joseph A. Boscarino, et al.. (2015). Patterns of health care utilization for low back pain. Journal of Pain Research. 8. 523–523. 28 indexed citations
20.
Maeng, Daniel, et al.. (2010). The Relationship between Health Plan Performance Measures and Physician Network Overlap: Implications for Measuring Plan Quality. Health Services Research. 45(4). 1005–1023. 4 indexed citations

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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