Curtis Triplitt
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 10%
- Surgery top 5%
- Physiology top 5%
- Epidemiology top 10%
- Co-authors
- Eugênio CersósimoRalph A. DeFronzoCarolina Solis‐HerreraJohn M. AdamsLeonard C. GlassEstela WajcbergLawrence J. MandarinoY. Miyazaki
- Topics
- Diabetes Treatment and Management (63 papers)Metabolism, Diabetes, and Cancer (39 papers)Diabetes Management and Research (33 papers)
- Journals
- Journal of the American College of CardiologyHepatologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesItalyFinland
In The Last Decade
Curtis Triplitt
86 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 117
- Endocrinology, Diabetes and Metabolism 1.8k
- Molecular Biology 1.1k
- Surgery 834
- Physiology 527
- Epidemiology 436
Countries citing papers authored by Curtis Triplitt
This map shows the geographic impact of Curtis Triplitt'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 Curtis Triplitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curtis Triplitt more than expected).
Fields of papers citing papers by Curtis Triplitt
This network shows the impact of papers produced by Curtis Triplitt. 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 Curtis Triplitt. The network helps show where Curtis Triplitt may publish in the future.
Co-authorship network of co-authors of Curtis Triplitt
This figure shows the co-authorship network connecting the top 25 collaborators of Curtis Triplitt. A scholar is included among the top collaborators of Curtis Triplitt 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 Curtis Triplitt. Curtis Triplitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 194 | |
| 9 | 7 | |
| 10 | 43 | |
| 11 | 13 | |
| 12 | Improving treatment success rates for type 2 diabetes: recommendations for a changing environment. | 20 |
| 13 | 127 | |
| 14 | How to initiate, titrate, and intensify insulin treatment in type 2 diabetes | 3 |
| 15 | 92 | |
| 16 | 30 | |
| 17 | 12 | |
| 18 | 32 | |
| 19 | 46 | |
| 20 | 22 |
About Curtis Triplitt
Curtis Triplitt is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology, having authored 89 papers that have together received 2.7k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (63 papers), Metabolism, Diabetes, and Cancer (39 papers) and Diabetes Management and Research (33 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Physiology (527 citations) and Surgery (834 citations). Curtis Triplitt has collaborated with scholars based in United States, Italy and Finland. Frequent co-authors include Eugênio Cersósimo, Ralph A. DeFronzo, Carolina Solis‐Herrera, Ralph A. DeFronzo, John M. Adams, Leonard C. Glass, Estela Wajcberg, Lawrence J. Mandarino, Y. Miyazaki and Muhammad Abdul-Ghani. Their work appears in journals such as Journal of the American College of Cardiology, Hepatology 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.