Heather Cuevas

38 papers receiving 367 citations

Peers

Heather Cuevas
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 136
  • Family Practice 5
  • Pharmacy 12
  • Psychiatry and Mental health 33
  • General Health Professions 52
Replace Natalia Piana with:
Natalia Piana Italy
Lauren Brown Canada
A Gahr Germany
Nicole de Zoysa United Kingdom
Mary Byrn United States
Petra Durán United States
Kirsten M van Steenbergen-Weijenburg Netherlands
Tibor Hajos Netherlands
Elizabeth A. Vrany United States
Gina Evans‐Hudnall United States
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Citations per year

Countries citing papers authored by Heather Cuevas

Since Specialization
Citations

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

Fields of papers citing papers by Heather Cuevas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201691
2 201474
3 201724
4 201721
5 202121
6 201813
7 202212
8 201911
9 201710
10 20229
11 20189
12 20209
13 20217
14 20137
15 20206
16 20146
17 20235
18 20235
19 20175
20 20204

About Heather Cuevas

Heather Cuevas is a scholar working on Endocrinology, Diabetes and Metabolism, Psychiatry and Mental health, Cardiology and Cardiovascular Medicine, General Health Professions and Sociology and Political Science, having authored 42 papers that have together received 382 indexed citations. Recurring topics across this work include Diabetes Management and Education (17 papers), Dementia and Cognitive Impairment Research (8 papers), Diabetes Management and Research (4 papers), Intensive Care Unit Cognitive Disorders (2 papers), Racial and Ethnic Identity Research (2 papers), Diabetes Treatment and Management (2 papers), Music Therapy and Health (2 papers) and Cardiovascular Health and Risk Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (136 citations), Family Practice (5 citations), Pharmacy (12 citations), Psychiatry and Mental health (33 citations) and General Health Professions (52 citations). Heather Cuevas has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Sharon A. Brown, Alexandra A. García, Alexa Stuifbergen, Mary A. Winter, Adama Brown, Julie A. Zuñiga, Gilbert Ramı́rez, Betsy Jane Becker, Vicki S. Conn and Elizabeth Heitkemper. Their work appears in journals such as The Diabetes Educator, Patient Education and Counseling, Clinical Nurse Specialist, Journal of Immigrant and Minority Health and Journal of Aging Research.

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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