Steven Gitelman
Impact in
- Genetics top 10%
- Diabetes and associated disorders
-
- Adrenal Hormones and Disorders
- Diabetes Management and Research
Papers in
- Genetics 5
- Diabetes and associated disorders 5
-
- Diabetes Management and Research 1
- Adrenal Hormones and Disorders 1
- Co-authors
- Carla J. Greenbaum (2 shared papers)Walter L. Miller (1 shared paper)Paul H. Saenger (1 shared paper)Linda Anne DiMeglio (1 shared paper)Wei Hao (1 shared paper)David C. Boulware (1 shared paper)Kevan C. Herold (3 shared papers)William Hagopian (2 shared papers)
- Journals
- Journal of Clinical Investigation (1 paper)Diabetes Care (1 paper)Diabetologia (1 paper)Yearbook of pediatric endocrinology (1 paper)eScholarship (California Digital Library) (2 papers)
- Partner nations
- United States
In The Last Decade
Steven Gitelman
5 papers receiving 343 citations
Peers
Comparison fields: 5 of 31
- Genetics 223
- Endocrinology, Diabetes and Metabolism 114
- Molecular Biology 80
- Surgery 32
- Immunology 13
Countries citing papers authored by Steven Gitelman
This map shows the geographic impact of Steven Gitelman'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 Steven Gitelman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Gitelman more than expected).
Fields of papers citing papers by Steven Gitelman
This network shows the impact of papers produced by Steven Gitelman. 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 Steven Gitelman. The network helps show where Steven Gitelman may publish in the future.
Co-authors
The 24 scholars most cited alongside Steven Gitelman, 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 | 2016 | 130 | |
| 2 | 1991 | 103 | |
| 3 | 2018 | 101 | |
| 4 | Teplizumab (anti-CD3 mAb) treatment preserves C-peptide responses in patients with new-onset type 1 diabetes in a randomized controlled trial: Metabolic and immunologic features at baseline identify a subgroup of responders | 2014 | 22 |
| 5 | 2020 | 2 | |
| 6 | Teplizumab treatment may improve C-peptide responses in participants with type 1 diabetes after the new-onset period: A randomized controlled trial | 2014 | 0 |
About Steven Gitelman
Steven Gitelman is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 6 papers that have together received 358 indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Sexual Differentiation and Disorders (1 paper), Diabetes Management and Research (1 paper) and Adrenal Hormones and Disorders (1 paper). The work is most often cited by research in Genetics (223 citations), Endocrinology, Diabetes and Metabolism (114 citations), Molecular Biology (80 citations), Surgery (32 citations) and Immunology (13 citations). Steven Gitelman has collaborated with scholars based in United States. Frequent co-authors include Carla J. Greenbaum, Walter L. Miller, Paul H. Saenger, Linda Anne DiMeglio, Wei Hao, David C. Boulware, Kevan C. Herold, William Hagopian, Paula Preston‐Hurlburt and Peter S. Linsley. Their work appears in journals such as Journal of Clinical Investigation, Diabetes Care, Diabetologia, Yearbook of pediatric endocrinology and eScholarship (California Digital Library).
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.