William W. Quick
Impact in
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- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Education
- Diabetes Treatment and Management
- Obstetrics and Gynecology top 5%
- Gestational Diabetes Research and Management
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 4
- Diabetes Management and Research 2
-
- Obesity, Physical Activity, Diet 2
- Nutritional Studies and Diet 1
- Co-authors
- Timothy M. Dall (6 shared papers)Yiduo Zhang (4 shared papers)Wenya Yang (3 shared papers)Jeanene Fogli (1 shared paper)Yaozhu J. Chen (1 shared paper)Victoria Moore (3 shared papers)Eric A. Huang (1 shared paper)Shiping Zhang (1 shared paper)
- Journals
- Population Health Management (4 papers)International Journal of Clinical Practice (1 paper)Population Health Metrics (1 paper)Health Affairs (1 paper)JAMA (1 paper)
- Partner nations
- United StatesSpainGermany
In The Last Decade
William W. Quick
8 papers receiving 561 citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 206
- Obstetrics and Gynecology 87
- Family Practice 12
- Pharmacy 19
- Health Information Management 14
Countries citing papers authored by William W. Quick
This map shows the geographic impact of William W. Quick'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 William W. Quick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William W. Quick more than expected).
Fields of papers citing papers by William W. Quick
This network shows the impact of papers produced by William W. Quick. 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 William W. Quick. The network helps show where William W. Quick may publish in the future.
Co-authors
The 16 scholars most cited alongside William W. Quick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 249 | |
| 2 | 2009 | 92 | |
| 3 | 2009 | 84 | |
| 4 | 2009 | 70 | |
| 5 | 2014 | 55 | |
| 6 | 2009 | 45 | |
| 7 | 1974 | 4 | |
| 8 | 2010 | 2 |
About William W. Quick
William W. Quick is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Economics and Econometrics, Pharmacy and Surgery, having authored 8 papers that have together received 601 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Diabetes Management and Research (2 papers), Obesity, Physical Activity, Diet (2 papers), Obesity and Health Practices (2 papers), Gestational Diabetes Research and Management (1 paper), Diet and metabolism studies (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (206 citations), Obstetrics and Gynecology (87 citations), Family Practice (12 citations), Pharmacy (19 citations) and Health Information Management (14 citations). William W. Quick has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Timothy M. Dall, Yiduo Zhang, Wenya Yang, Jeanene Fogli, Yaozhu J. Chen, Victoria Moore, Eric A. Huang, Shiping Zhang, Rita Furst Seifert and Yiduo Zhang. Their work appears in journals such as Population Health Management, International Journal of Clinical Practice, Population Health Metrics, Health Affairs and JAMA.
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.