Michael Dulin

1.2k total citations
44 papers, 864 citations indexed

About

Michael Dulin is a scholar working on General Health Professions, Economics and Econometrics and Epidemiology. According to data from OpenAlex, Michael Dulin has authored 44 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in General Health Professions, 8 papers in Economics and Econometrics and 7 papers in Epidemiology. Recurrent topics in Michael Dulin's work include Primary Care and Health Outcomes (13 papers), Health Literacy and Information Accessibility (8 papers) and Health Policy Implementation Science (8 papers). Michael Dulin is often cited by papers focused on Primary Care and Health Outcomes (13 papers), Health Literacy and Information Accessibility (8 papers) and Health Policy Implementation Science (8 papers). Michael Dulin collaborates with scholars based in United States, Puerto Rico and Italy. Michael Dulin's co-authors include Hazel Tapp, Andrew McWilliams, Sveta Mohanan, Yhenneko J. Taylor, Heather A. Smith, Thomas M. Ludden, Brisa Urquieta de Hernandez, Owen J. Furuseth, John Blackwell and Tsai‐Ling Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and BMC Public Health.

In The Last Decade

Michael Dulin

40 papers receiving 832 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Dulin United States 17 529 152 140 109 89 44 864
Sarah Ono United States 18 563 1.1× 174 1.1× 63 0.5× 107 1.0× 77 0.9× 55 949
Annamay Snyder United States 4 816 1.5× 186 1.2× 89 0.6× 153 1.4× 49 0.6× 7 1.2k
John Heintzman United States 20 376 0.7× 173 1.1× 119 0.8× 158 1.4× 43 0.5× 87 1.0k
Iraj Poureslami Canada 17 688 1.3× 96 0.6× 172 1.2× 150 1.4× 121 1.4× 54 1.1k
Barry I. Graubard United States 4 246 0.5× 202 1.3× 86 0.6× 157 1.4× 57 0.6× 7 956
Jane Zapka United States 16 334 0.6× 180 1.2× 70 0.5× 73 0.7× 66 0.7× 27 782
Elizabeth Unni United States 19 274 0.5× 182 1.2× 87 0.6× 94 0.9× 59 0.7× 71 993
Michelle Tew Australia 13 288 0.5× 173 1.1× 60 0.4× 92 0.8× 66 0.7× 30 845
John Litt Australia 18 632 1.2× 325 2.1× 356 2.5× 223 2.0× 101 1.1× 51 1.3k
Kandace A. Lackore United States 17 213 0.4× 153 1.0× 53 0.4× 74 0.7× 61 0.7× 37 748

Countries citing papers authored by Michael Dulin

Since Specialization
Citations

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

Fields of papers citing papers by Michael Dulin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Dulin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Dulin. A scholar is included among the top collaborators of Michael Dulin 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 Michael Dulin. Michael Dulin 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
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Geraci, Marco, et al.. (2020). Ambulatory care, insurance, and avoidable emergency department utilization in North Carolina. The American Journal of Emergency Medicine. 46. 225–232.
4.
Scott, Victoria C., et al.. (2020). Using cloud-based, open-source technology to evaluate, improve, and rapidly disseminate community-based intervention data. Journal of the American Medical Informatics Association. 27(11). 1741–1746. 6 indexed citations
5.
Taylor, Yhenneko J., et al.. (2019). A Population Health Approach to Transitional Care Management for High-Risk Patients with Diabetes: Outcomes at a Rural Hospital. Population Health Management. 23(4). 278–285. 6 indexed citations
6.
Coffman, Maren J., et al.. (2019). Postpartum Depression Screening and Referrals in Special Supplemental Nutrition Program for Women, Infants, and Children Clinics. Journal of Obstetric, Gynecologic & Neonatal Nursing. 49(1). 27–40. 10 indexed citations
7.
Ludden, Thomas M., Yhenneko J. Taylor, Laura K. Simmons, et al.. (2018). Using Community-Based Participatory Research to Develop Geospatial Models Toward Improving Community Health for Disadvantaged Hispanic Populations in Charlotte, NC. The Journal of Primary Prevention. 39(2). 171–190. 3 indexed citations
8.
McWilliams, Andrew, et al.. (2018). Patient and Family Engagement in the Design of a Mobile Health Solution for Pediatric Asthma: Development and Feasibility Study. JMIR mhealth and uhealth. 6(3). e68–e68. 19 indexed citations
9.
Plescia, Marcus & Michael Dulin. (2017). Accountable Care Communities. North Carolina Medical Journal. 78(4). 238–241. 4 indexed citations
10.
Dulin, Michael, et al.. (2016). Bringing Big Data to the Forefront of Healthcare Delivery: The Experience of Carolinas HealthCare System.. PubMed. 32(1). 1–12. 3 indexed citations
11.
Phillips, Robert L., Andrew Bazemore, Jennifer E. DeVoe, et al.. (2015). A Family Medicine Health Technology Strategy for Achieving the Triple Aim for US Health Care.. PubMed. 47(8). 628–35. 27 indexed citations
12.
Kühn, Lisa, et al.. (2015). Planning for Action: The Impact of an Asthma Action Plan Decision Support Tool Integrated into an Electronic Health Record (EHR) at a Large Health Care System. The Journal of the American Board of Family Medicine. 28(3). 382–393. 41 indexed citations
13.
Warren‐Findlow, Jan, et al.. (2014). The Association Between Health Literacy and Diet Adherence Among Primary Care Patients with Hypertension. Digital Scholarship - UNLV (University of Nevada Reno). 7(2). 7. 10 indexed citations
14.
Tapp, Hazel, Andrew McWilliams, & Michael Dulin. (2014). Patient Engagement and Informed Decision Making Regarding Medical Imaging. North Carolina Medical Journal. 75(2). 114–116. 5 indexed citations
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Dulin, Michael, Hazel Tapp, Heather A. Smith, et al.. (2012). A trans-disciplinary approach to the evaluation of social determinants of health in a hispanic population. BMC Public Health. 12(1). 769–769. 28 indexed citations
17.
Tapp, Hazel, et al.. (2011). Comparative effectiveness of asthma interventions within a practice based research network. BMC Health Services Research. 11(1). 188–188. 33 indexed citations
18.
Dulin, Michael, Hazel Tapp, Heather A. Smith, Brisa Urquieta de Hernandez, & Owen J. Furuseth. (2011). A community based participatory approach to improving health in a Hispanic population. Implementation Science. 6(1). 38–38. 25 indexed citations
19.
Dulin, Michael, Thomas M. Ludden, Hazel Tapp, et al.. (2010). Geographic Information Systems (GIS) Demonstrating Primary Care Needs for a Transitioning Hispanic Community. The Journal of the American Board of Family Medicine. 23(1). 109–120. 26 indexed citations
20.
Dulin, Michael, Thomas M. Ludden, Hazel Tapp, et al.. (2010). Using Geographic Information Systems (GIS) to Understand a Community's Primary Care Needs. The Journal of the American Board of Family Medicine. 23(1). 13–21. 56 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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