Deborah Peikes

2.3k total citations · 1 hit paper
44 papers, 1.4k citations indexed

About

Deborah Peikes is a scholar working on General Health Professions, Economics and Econometrics and Epidemiology. According to data from OpenAlex, Deborah Peikes has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in General Health Professions, 29 papers in Economics and Econometrics and 13 papers in Epidemiology. Recurrent topics in Deborah Peikes's work include Primary Care and Health Outcomes (38 papers), Healthcare Policy and Management (27 papers) and Chronic Disease Management Strategies (13 papers). Deborah Peikes is often cited by papers focused on Primary Care and Health Outcomes (38 papers), Healthcare Policy and Management (27 papers) and Chronic Disease Management Strategies (13 papers). Deborah Peikes collaborates with scholars based in United States, Chile and Italy. Deborah Peikes's co-authors include Randall Brown, Jennifer Schore, Greg Peterson, Sean Orzol, Ann S. O’Malley, Timothy Day, Arkadipta Ghosh, Erin Fries Taylor, Stacy Dale and Laura L. Sessums and has published in prestigious journals such as New England Journal of Medicine, JAMA and Journal of General Internal Medicine.

In The Last Decade

Deborah Peikes

42 papers receiving 1.3k citations

Hit Papers

Effects of Care Coordination on Hospitalization, Quality ... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah Peikes United States 15 996 615 457 130 124 44 1.4k
Jennifer Schore United States 14 915 0.9× 484 0.8× 430 0.9× 109 0.8× 121 1.0× 27 1.2k
Edwin S. Wong United States 20 896 0.9× 442 0.7× 301 0.7× 129 1.0× 95 0.8× 127 1.5k
Eva H. DuGoff United States 18 621 0.6× 385 0.6× 306 0.7× 131 1.0× 87 0.7× 41 1.4k
Norbert Goldfield United States 15 680 0.7× 520 0.8× 246 0.5× 215 1.7× 191 1.5× 74 1.3k
Dennis P. Scanlon United States 24 1.3k 1.3× 1.1k 1.8× 206 0.5× 72 0.6× 79 0.6× 112 2.0k
Hoangmai H. Pham United States 10 736 0.7× 472 0.8× 175 0.4× 111 0.9× 48 0.4× 15 1.1k
Tracy Urech United States 13 715 0.7× 686 1.1× 155 0.3× 61 0.5× 137 1.1× 28 1.3k
LeChauncy Woodard United States 18 756 0.8× 738 1.2× 200 0.4× 36 0.3× 166 1.3× 61 1.5k
Rahul Rajkumar United States 18 774 0.8× 812 1.3× 129 0.3× 82 0.6× 93 0.8× 39 1.4k
Rosa Suñol Spain 26 1.1k 1.1× 420 0.7× 121 0.3× 164 1.3× 95 0.8× 93 2.1k

Countries citing papers authored by Deborah Peikes

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Peikes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Peikes

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Peikes. A scholar is included among the top collaborators of Deborah Peikes 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 Deborah Peikes. Deborah Peikes 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.
Goldstein, Nathan E., et al.. (2023). Effects of Primary Care-Led, Integrated Palliative Care for Medicare Patients in a Value-Based Model. Journal of Pain and Symptom Management. 67(3). 195–203. 1 indexed citations
2.
Fu, Ning, Stacy Dale, Sean Orzol, et al.. (2021). Long-Term Effects of the Comprehensive Primary Care Model on Health Care Spending and Utilization. Journal of General Internal Medicine. 37(7). 1713–1721. 4 indexed citations
3.
Orzol, Sean, et al.. (2020). Participation in the Comprehensive Primary Care Plus Initiative. The Annals of Family Medicine. 18(4). 309–317. 16 indexed citations
4.
O’Malley, Ann S., et al.. (2017). Patients' perspectives of care management: a qualitative study.. PubMed. 23(11). 684–689. 10 indexed citations
5.
Peikes, Deborah, Stacy Dale, Nancy Clusen, et al.. (2017). Patient experience midway through a large primary care practice transformation initiative.. PubMed. 23(3). 178–184. 8 indexed citations
6.
Peikes, Deborah, Ann S. O’Malley, Claire Wilson, et al.. (2016). Early Experiences Engaging Patients Through Patient and Family Advisory Councils. Journal of Ambulatory Care Management. 39(4). 316–324. 16 indexed citations
7.
Crosson, Jesse C., et al.. (2015). Using Health Information Technology to Support Quality Improvement in Primary Care. Mathematica Policy Research Reports. 7 indexed citations
8.
Taylor, Erin Fries, et al.. (2015). Engaging Primary Care Practices in Quality Improvement: Strategies for Practice Facilitators (Executive Summary). Mathematica Policy Research Reports. 1 indexed citations
9.
Taylor, Erin Fries, Grace Anglin, Stacy Dale, et al.. (2015). Evaluation of the Comprehensive Primary Care Initiative: First Annual Report. Mathematica Policy Research Reports. 6 indexed citations
10.
Taylor, Erin Fries, et al.. (2014). Quality Improvement in Primary Care: External Supports for Practices. Mathematica Policy Research Reports.
11.
Brown, Randall, et al.. (2012). Six Features of Medicare Coordinated Care Demonstration Programs that Cut Hospital Admissions of HighRisk Patients. Mathematica Policy Research Reports. 1 indexed citations
12.
Brown, Randall, et al.. (2008). 15-site randomized trial of coordinated care in Medicare FFS.. PubMed Central. 30(1). 5–25. 29 indexed citations
13.
Ginsburg, Paul Β., et al.. (2008). Making Medical Homes Work: Moving from Concept to Practice. Mathematica Policy Research Reports. 17 indexed citations
14.
Brown, Randall, et al.. (2007). The Evaluation of the Medicare Coordinated Care Demonstration: Findings for the First Two Years. Mathematica Policy Research Reports. 25 indexed citations
15.
Brown, Randall, et al.. (2006). Second Report to Congress on the Evaluation of the Medicare Coordinated Care Demonstration. Mathematica Policy Research Reports. 8 indexed citations
16.
Schore, Jennifer, et al.. (2005). The Medical Care Development Medicare Coordinated Care Demonstration Program After One Year. Mathematica Policy Research Reports. 2 indexed citations
17.
Schore, Jennifer, et al.. (2005). The Quality Oncology Medicare Coordinated Care Demonstration Program After One Year. Mathematica Policy Research Reports. 1 indexed citations
18.
Schore, Jennifer, et al.. (2005). The Health Quality Partners Medicare Coordinated Care Demonstration Program After One Year. Mathematica Policy Research Reports. 1 indexed citations
19.
Brown, Randall, et al.. (2004). Coordinating Care for Medicare Beneficiaries: Early Experiences of 15 Demonstration Programs, Their Patients, and Providers (Appendix A). Mathematica Policy Research Reports. 5 indexed citations
20.
Peikes, Deborah, et al.. (2001). Discontinuous Coverage in Medicaid and the Implications of 12-Month Continuous Coverage for Children. Mathematica Policy Research Reports. 11 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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