Carla J. Greenbaum
- Genetics top 0.02%
- Surgery top 0.1%
- Endocrinology, Diabetes and Metabolism top 0.05%
- Immunology top 0.5%
- Molecular Biology top 10%
- Co-authors
- Jerry P. PalmerJay S. SkylerJeffrey P. KrischerPeter A. GottliebKevan C. HeroldDesmond SchatzJane H. BucknerJohn M. Lachin
- Topics
- Diabetes and associated disorders (187 papers)Diabetes Management and Research (140 papers)Pancreatic function and diabetes (139 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Carla J. Greenbaum
209 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Genetics 10.0k
- Surgery 8.3k
- Endocrinology, Diabetes and Metabolism 8.0k
- Immunology 2.8k
- Molecular Biology 1.1k
Countries citing papers authored by Carla J. Greenbaum
This map shows the geographic impact of Carla J. Greenbaum'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 Carla J. Greenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carla J. Greenbaum more than expected).
Fields of papers citing papers by Carla J. Greenbaum
This network shows the impact of papers produced by Carla J. Greenbaum. 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 Carla J. Greenbaum. The network helps show where Carla J. Greenbaum may publish in the future.
Co-authorship network of co-authors of Carla J. Greenbaum
This figure shows the co-authorship network connecting the top 25 collaborators of Carla J. Greenbaum. A scholar is included among the top collaborators of Carla J. Greenbaum 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 Carla J. Greenbaum. Carla J. Greenbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 9 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 19 | |
| 6 | Screening for Type 1 Diabetes in the General Population: A Status Report and Perspectivebreakdown → | 117 |
| 7 | 19 | |
| 8 | 17 | |
| 9 | 82 | |
| 10 | 25 | |
| 11 | 39 | |
| 12 | 24 | |
| 13 | 46 | |
| 14 | 125 | |
| 15 | 87 | |
| 16 | 34 | |
| 17 | 22 | |
| 18 | 65 | |
| 19 | Changing the Course of Disease in Type 1 Diabetes | 10 |
| 20 | 99 |
About Carla J. Greenbaum
Carla J. Greenbaum is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 210 papers that have together received 12.7k indexed citations. Recurring topics across this work include Diabetes and associated disorders (187 papers), Diabetes Management and Research (140 papers) and Pancreatic function and diabetes (139 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (8.0k citations), Genetics (10.0k citations) and Surgery (8.3k citations). Carla J. Greenbaum has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Jerry P. Palmer, Jay S. Skyler, Jeffrey P. Krischer, Peter A. Gottlieb, Kevan C. Herold, Desmond Schatz, Jane H. Buckner, John M. Lachin, Stephen E. Gitelman and Catherine Pihoker. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.