Don Hire

1.6k citations
14 papers · 359 · h-index 11

Impact in

Papers in

Don Hire

14 papers receiving 351 citations

Peers

Don Hire
Comparison fields: 5 of 60
  • Endocrinology, Diabetes and Metabolism 107
  • Physiology 60
  • Biological Psychiatry 5
  • Geriatrics and Gerontology 6
  • Cardiology and Cardiovascular Medicine 33
Replace Patricia Feeney with:
Patricia Feeney United States
Rosane Kupfer Brazil
J Takala Finland
Noushin Mohammadifard Iran
Roberta Rigo Dalla Corte Brazil
Agustín Meléndez Spain
Jian‐Hao Pei China
Min-Ju Kim South Korea
Betty Ho Australia
D. Cavaliere Italy
Don Hire relative to Patricia Feeney United States Patricia Feeney's profile →
Citations per field
00.5×1.6×
Patricia Feeney · 1×
Citations per year

Countries citing papers authored by Don Hire

Since Specialization
Citations

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

Fields of papers citing papers by Don Hire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2012116
2 201547
3 201540
4 200839
5 201223
6 201616
7 201615
8 201513
9 201112
10 201212
11 201510
12 20148
13 20167
14
Epidemiological evaluation from the ACCORD HRQL substudy
20121

About Don Hire

Don Hire is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 359 indexed citations. Recurring topics across this work include Physical Activity and Health (2 papers), Diabetes Management and Research (1 paper), Obesity, Physical Activity, Diet (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Cardiac Health and Mental Health (1 paper), Nutrition and Health in Aging (1 paper) and Diabetes Management and Education (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (107 citations), Physiology (60 citations), Biological Psychiatry (5 citations), Geriatrics and Gerontology (6 citations) and Cardiology and Cardiovascular Medicine (33 citations). Don Hire has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Patrick J. O’Connor, Mark D. Sullivan, Patricia Feeney, Mohammed K. Ali, Debra L. Simmons, K.M. Venkat Narayan, Dennis W. Raisch, Wayne Katon, Lawrence J. Fine and Todd M. Manini. Their work appears in journals such as Diabetes Care, The Journals of Gerontology Series A, Diabetic Medicine, Diabetes Obesity and Metabolism and Obesity.

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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