Jonathan W. Day
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
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- Regulation of Appetite and Obesity
Papers in
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- Receptor Mechanisms and Signaling 4
- Phosphodiesterase function and regulation 1
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- Diabetes Treatment and Management 5
- Diabetes Management and Research 1
- Co-authors
- Richard D. DiMarchi (5 shared papers)Vasily M. Gelfanov (5 shared papers)Matthias H. Tschöp (2 shared papers)Vaughn V. Smider (1 shared paper)Peter G. Schultz (1 shared paper)Chan Hyuk Kim (1 shared paper)Nancy A. Thornberry (1 shared paper)Alessandro Pocai (1 shared paper)
- Journals
- Journal of Peptide Science (2 papers)Nature Medicine (1 paper)Molecular Metabolism (1 paper)Physiology & Behavior (1 paper)Journal of Lipid Research (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Jonathan W. Day
11 papers receiving 337 citations
Peers
Comparison fields: 5 of 44
- Endocrinology, Diabetes and Metabolism 203
- Endocrine and Autonomic Systems 37
- Cellular and Molecular Neuroscience 46
- Pharmacology 39
- Cardiology and Cardiovascular Medicine 48
Countries citing papers authored by Jonathan W. Day
This map shows the geographic impact of Jonathan W. Day'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 Jonathan W. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan W. Day more than expected).
Fields of papers citing papers by Jonathan W. Day
This network shows the impact of papers produced by Jonathan W. Day. 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 Jonathan W. Day. The network helps show where Jonathan W. Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan W. Day, 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 | 2012 | 111 | |
| 2 | 2010 | 57 | |
| 3 | 2022 | 41 | |
| 4 | 2022 | 35 | |
| 5 | 2013 | 34 | |
| 6 | 2010 | 18 | |
| 7 | 2011 | 15 | |
| 8 | 2025 | 11 | |
| 9 | 2013 | 10 | |
| 10 | 2021 | 6 | |
| 11 | 2003 | 2 |
About Jonathan W. Day
Jonathan W. Day is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 340 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers), Pancreatic function and diabetes (3 papers), Lipid metabolism and disorders (2 papers), Diabetes Management and Research (1 paper), Diabetes and associated disorders (1 paper) and Phosphodiesterase function and regulation (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (203 citations), Endocrine and Autonomic Systems (37 citations), Cellular and Molecular Neuroscience (46 citations), Pharmacology (39 citations) and Cardiology and Cardiovascular Medicine (48 citations). Jonathan W. Day has collaborated with scholars based in United States and Canada. Frequent co-authors include Richard D. DiMarchi, Vasily M. Gelfanov, Matthias H. Tschöp, Vaughn V. Smider, Peter G. Schultz, Chan Hyuk Kim, Nancy A. Thornberry, Alessandro Pocai, George J. Eiermann and David L. Smiley. Their work appears in journals such as Journal of Peptide Science, Nature Medicine, Molecular Metabolism, Physiology & Behavior and Journal of Lipid 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.