Faye Cameron
Impact in
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- Diabetes Management and Research
- Diabetes Treatment and Management
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
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- Diabetes and associated disorders
Papers in
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- Diabetes Management and Research 14
- Hyperglycemia and glycemic control in critically ill and hospitalized patients 3
- Surgery 10
- Pancreatic function and diabetes 10
- Co-authors
- B. Wayne Bequette (14 shared papers)David M. Maahs (9 shared papers)Bruce A. Buckingham (8 shared papers)Gregory P. Forlenza (6 shared papers)Trang T. Ly (6 shared papers)Nihat Baysal (5 shared papers)Daniel P. Howsmon (5 shared papers)Paula Clinton (4 shared papers)
- Journals
- Diabetes Technology & Therapeutics (2 papers)Diabetes Care (2 papers)Pediatric Diabetes (1 paper)Biomedical Signal Processing and Control (1 paper)Journal of Diabetes Science and Technology (1 paper)
- Partner nations
- United StatesDenmarkCanada
In The Last Decade
Faye Cameron
14 papers receiving 320 citations
Peers
Comparison fields: 5 of 52
- Endocrinology, Diabetes and Metabolism 274
- Genetics 164
- Surgery 224
- Medical Laboratory Technology 3
- Software 6
Countries citing papers authored by Faye Cameron
This map shows the geographic impact of Faye Cameron'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 Faye Cameron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faye Cameron more than expected).
Fields of papers citing papers by Faye Cameron
This network shows the impact of papers produced by Faye Cameron. 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 Faye Cameron. The network helps show where Faye Cameron may publish in the future.
Co-authors
The 25 scholars most cited alongside Faye Cameron, 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 | 2017 | 75 | |
| 2 | 2018 | 59 | |
| 3 | 2017 | 39 | |
| 4 | 2018 | 37 | |
| 5 | 2017 | 20 | |
| 6 | 2017 | 18 | |
| 7 | 2017 | 17 | |
| 8 | 2018 | 17 | |
| 9 | 2017 | 17 | |
| 10 | 2018 | 11 | |
| 11 | 2021 | 7 | |
| 12 | 2023 | 4 | |
| 13 | 2018 | 2 | |
| 14 | 2016 | 2 |
About Faye Cameron
Faye Cameron is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 325 indexed citations. Recurring topics across this work include Diabetes Management and Research (14 papers), Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (8 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), ECG Monitoring and Analysis (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Context-Aware Activity Recognition Systems (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (274 citations), Genetics (164 citations), Surgery (224 citations), Medical Laboratory Technology (3 citations) and Software (6 citations). Faye Cameron has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include B. Wayne Bequette, David M. Maahs, Bruce A. Buckingham, Gregory P. Forlenza, Trang T. Ly, Nihat Baysal, Daniel P. Howsmon, Paula Clinton, Carol J. Levy and John W. Lum. Their work appears in journals such as Diabetes Technology & Therapeutics, Diabetes Care, Pediatric Diabetes, Biomedical Signal Processing and Control and Journal of Diabetes Science and Technology.
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.