Jeff Unger
- Co-authors
- Christopher G. ParkinThomas M. McIntyreGuy A. ZimmermanPatrick W. GrayHai Le TrongStephen M. PrescottDiana M. StafforiniLarry W. Tjoelker
- Topics
- Diabetes Management and Research (28 papers)Diabetes Treatment and Management (19 papers)Metabolism, Diabetes, and Cancer (11 papers)
- Partner nations
- United StatesDenmarkIndia
In The Last Decade
Jeff Unger
37 papers receiving 654 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 441
- Surgery 225
- Genetics 170
- Molecular Biology 150
- Physiology 64
Countries citing papers authored by Jeff Unger
This map shows the geographic impact of Jeff Unger'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 Jeff Unger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Unger more than expected).
Fields of papers citing papers by Jeff Unger
This network shows the impact of papers produced by Jeff Unger. 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 Jeff Unger. The network helps show where Jeff Unger may publish in the future.
Co-authorship network of co-authors of Jeff Unger
This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Unger. A scholar is included among the top collaborators of Jeff Unger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeff Unger. Jeff Unger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | American Association of Clinical Endocrinology Clinical Practice Guideline: The Use of Advanced Technology in the Management of Persons With Diabetes Mellitusbreakdown → | 179 |
| 3 | A Clinical Overview of Once-weekly Glucagon-like Peptide-1 Receptor Agonists. | 2 |
| 4 | 24 | |
| 5 | 50 | |
| 6 | 6 | |
| 7 | 33 | |
| 8 | 5 | |
| 9 | 14 | |
| 10 | 19 | |
| 11 | 6 | |
| 12 | 0 | |
| 13 | 11 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | Managing Mental Illness in Patients with Diabetes | 3 |
| 17 | 13 | |
| 18 | Pediatric Migraine: Clinical Pearls in Diagnosis and Therapy | 3 |
| 19 | Diabetic neuropathy: Early clues, effective management | 3 |
| 20 | 182 |
About Jeff Unger
Jeff Unger is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Geriatrics and Gerontology, having authored 41 papers that have together received 698 indexed citations. Recurring topics across this work include Diabetes Management and Research (28 papers), Diabetes Treatment and Management (19 papers) and Metabolism, Diabetes, and Cancer (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (441 citations), Genetics (170 citations) and Surgery (225 citations). Jeff Unger has collaborated with scholars based in United States, Denmark and India. Frequent co-authors include Christopher G. Parkin, Thomas M. McIntyre, Guy A. Zimmerman, Patrick W. Gray, Hai Le Trong, Stephen M. Prescott, Diana M. Stafforini, Larry W. Tjoelker, V. Roberts and Richard Hellman. Their work appears in journals such as Journal of Biological Chemistry, Diabetes and The American Journal of Medicine.
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.