J I Starr
Impact in
-
- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Surgery top 10%
- Pancreatic function and diabetes
Papers in
- Surgery 6
- Pancreatic function and diabetes 6
-
- Diabetes Management and Research 4
- Hyperglycemia and glycemic control in critically ill and hospitalized patients 2
- Neurological and metabolic disorders 1
- Co-authors
- Mary E. Mako (3 shared papers)David L. Horwitz (2 shared papers)William G. Blackard (1 shared paper)A. H. Rubenstein (1 shared paper)Arthur H. Rubenstein (6 shared papers)D J Juhn (2 shared papers)A M Scanu (1 shared paper)A Rubenstein (1 shared paper)
- Journals
- Diabetes (3 papers)Metabolism (1 paper)Journal of Clinical Investigation (1 paper)The American Journal of Medicine (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United States
In The Last Decade
J I Starr
9 papers receiving 703 citations
J I Starr's Hit Papers
Peers
Comparison fields: 5 of 68
- Endocrinology, Diabetes and Metabolism 439
- Surgery 383
- Genetics 250
- Endocrine and Autonomic Systems 37
- Physiology 113
Countries citing papers authored by J I Starr
This map shows the geographic impact of J I Starr'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 J I Starr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J I Starr more than expected).
Fields of papers citing papers by J I Starr
This network shows the impact of papers produced by J I Starr. 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 J I Starr. The network helps show where J I Starr may publish in the future.
Co-authors
The 18 scholars most cited alongside J I Starr, 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 | Proinsulin, insulin, and C-peptide concentrations in human portal and peripheral blood. Hit paper breakdown → | 1975 | 404 |
| 2 | 1976 | 124 | |
| 3 | 1977 | 84 | |
| 4 | 1974 | 44 | |
| 5 | 1972 | 43 | |
| 6 | 1977 | 35 | |
| 7 | 1969 | 32 | |
| 8 | 1975 | 26 | |
| 9 | 1975 | 12 |
About J I Starr
J I Starr is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics and Epidemiology, having authored 9 papers that have together received 804 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (5 papers), Diabetes Management and Research (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Neurological and metabolic disorders (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (439 citations), Surgery (383 citations), Genetics (250 citations), Endocrine and Autonomic Systems (37 citations) and Physiology (113 citations). J I Starr has collaborated with scholars based in United States. Frequent co-authors include Mary E. Mako, David L. Horwitz, William G. Blackard, A. H. Rubenstein, Arthur H. Rubenstein, D J Juhn, A M Scanu, A Rubenstein, J B Karlin and Marshall B. Block. Their work appears in journals such as Diabetes, Metabolism, Journal of Clinical Investigation, The American Journal of Medicine 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.