Jay M. Sosenko
- Endocrinology, Diabetes and Metabolism top 0.1%
- Surgery top 0.5%
- Genetics top 0.2%
- Physiology top 0.5%
- Neurology top 0.5%
- Co-authors
- Andrew J.M. BoultonRayaz A. MalikJay S. SkylerRoy FreemanVera BrilDan ZieglerEva L. FeldmanJoseph C. Arezzo
- Topics
- Diabetes Management and Research (88 papers)Diabetes and associated disorders (85 papers)Pancreatic function and diabetes (77 papers)
- Journals
- New England Journal of MedicineJournal of Clinical InvestigationThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jay M. Sosenko
125 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Endocrinology, Diabetes and Metabolism 5.4k
- Surgery 3.8k
- Genetics 3.6k
- Physiology 2.5k
- Neurology 1.7k
Countries citing papers authored by Jay M. Sosenko
This map shows the geographic impact of Jay M. Sosenko'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 Jay M. Sosenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay M. Sosenko more than expected).
Fields of papers citing papers by Jay M. Sosenko
This network shows the impact of papers produced by Jay M. Sosenko. 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 Jay M. Sosenko. The network helps show where Jay M. Sosenko may publish in the future.
Co-authorship network of co-authors of Jay M. Sosenko
This figure shows the co-authorship network connecting the top 25 collaborators of Jay M. Sosenko. A scholar is included among the top collaborators of Jay M. Sosenko 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 Jay M. Sosenko. Jay M. Sosenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 7 | |
| 11 | 80 | |
| 12 | 25 | |
| 13 | Elevations in the Fasting Serum Proinsulin–to–C-Peptide Ratio Precede the Onset of Type 1 Diabetes | 4 |
| 14 | 15 | |
| 15 | 64 | |
| 16 | Fall in C-peptide during first 2 years from diagnosis: Evidence of at least two distinct phases from composite type 1 diabetes TrialNet data | 12 |
| 17 | 12 | |
| 18 | 16 | |
| 19 | 62 | |
| 20 | 24 |
About Jay M. Sosenko
Jay M. Sosenko is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 129 papers that have together received 9.3k indexed citations. Recurring topics across this work include Diabetes Management and Research (88 papers), Diabetes and associated disorders (85 papers) and Pancreatic function and diabetes (77 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.4k citations), Genetics (3.6k citations) and Neurology (1.7k citations). Jay M. Sosenko has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Andrew J.M. Boulton, Rayaz A. Malik, Jay S. Skyler, Roy Freeman, Vera Bril, Dan Ziegler, Eva L. Feldman, Joseph C. Arezzo, Jerry P. Palmer and Rodica Pop‐Busui. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and The Journal of Clinical Endocrinology & Metabolism.
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.