Dawn E. Clancy

636 citations
10 papers · 498 indexed · h-index 8

Impact in

Papers in

Dawn E. Clancy

9 papers receiving 448 citations

Peers

Dawn E. Clancy
Comparison fields: 5 of 65
  • Endocrinology, Diabetes and Metabolism 263
  • General Health Professions 314
  • Family Practice 19
  • Epidemiology 205
  • Pharmacy 18
Replace Kathleen Wolff with:
Kathleen Wolff United States
Mary Mullen United States
Henry H. Fischer United States
Nicki Spiegal United Kingdom
Mary C. Hroscikoski United States
Vanessa Duren‐Winfield United States
P.L. Hoskins Australia
Maria Tchan Australia
Lisbeth Ø. Rygg Norway
Jason Chao United States
Dawn E. Clancy relative to Kathleen Wolff United States Kathleen Wolff's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dawn E. Clancy

Since Specialization
Citations

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

Fields of papers citing papers by Dawn E. Clancy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dawn E. Clancy. 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 Dawn E. Clancy. The network helps show where Dawn E. Clancy may publish in the future.

Co-authors

The 13 scholars most cited alongside Dawn E. Clancy, 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 Dawn E. Clancy Line = papers co-authored together Dawn E. Clancy links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2007181
2 200770
3 200359
4
Do diabetes group visits lead to lower medical care charges?
200852
5
Group visits in medically and economically disadvantaged patients with type 2 diabetes and their relationships to clinical outcomes.
200351
6 200348
7 200728
8 20067
9
Physicians, Patients, and EHRs. When it comes to a consultation, is three a crowd?
20051
10 20061

About Dawn E. Clancy

Dawn E. Clancy is a scholar working on General Health Professions, Endocrinology, Diabetes and Metabolism, Epidemiology, Public Health, Environmental and Occupational Health and Geriatrics and Gerontology, having authored 10 papers that have together received 498 indexed citations. Recurring topics across this work include Diabetes Management and Education (7 papers), Primary Care and Health Outcomes (5 papers), Health Literacy and Information Accessibility (2 papers), Chronic Disease Management Strategies (2 papers), Clinical practice guidelines implementation (2 papers), Health Policy Implementation Science (1 paper), Mobile Health and mHealth Applications (1 paper) and Patient Satisfaction in Healthcare (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (263 citations), General Health Professions (314 citations), Family Practice (19 citations), Epidemiology (205 citations) and Pharmacy (18 citations). Dawn E. Clancy has collaborated with scholars based in United States. Frequent co-authors include Kathryn M. Magruder, Caroline Powell, Elizabeth G. Hill, Peng Huang, Derik Yeager, Dennis Cope, Eni C. Okonofua, Kit N. Simpson, Clara E. Dismuke and David Bradford. Their work appears in journals such as The Diabetes Educator, Journal of General Internal Medicine, Journal of Investigative Medicine, Diabetes Care and PubMed.

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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