R. Keith Campbell
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 5%
- Surgery top 5%
- Reproductive Medicine top 1%
- Genetics top 5%
- Co-authors
- Joshua J. NeumillerJohn R. WhiteStephen M. SetterWilliam R. MoyleDanial E. BakerMichael P. BernardYi HanMichael P. Pollastri
- Topics
- Diabetes Management and Research (49 papers)Diabetes Treatment and Management (39 papers)Pancreatic function and diabetes (16 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
R. Keith Campbell
145 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 147
- Endocrinology, Diabetes and Metabolism 1.5k
- Molecular Biology 1.4k
- Surgery 563
- Reproductive Medicine 540
- Genetics 439
Countries citing papers authored by R. Keith Campbell
This map shows the geographic impact of R. Keith Campbell'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 R. Keith Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Keith Campbell more than expected).
Fields of papers citing papers by R. Keith Campbell
This network shows the impact of papers produced by R. Keith Campbell. 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 R. Keith Campbell. The network helps show where R. Keith Campbell may publish in the future.
Co-authorship network of co-authors of R. Keith Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of R. Keith Campbell. A scholar is included among the top collaborators of R. Keith Campbell 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 R. Keith Campbell. R. Keith Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 8 | |
| 3 | Recommendations for improving adherence to type 2 diabetes mellitus therapy--focus on optimizing insulin-based therapy. | 21 |
| 4 | 18 | |
| 5 | 78 | |
| 6 | 120 | |
| 7 | 127 | |
| 8 | 7 | |
| 9 | 30 | |
| 10 | 9 | |
| 11 | 51 | |
| 12 | 20 | |
| 13 | 24 | |
| 14 | Expanding your role in diabetes care | 1 |
| 15 | 11 | |
| 16 | 111 | |
| 17 | 116 | |
| 18 | 299 | |
| 19 | 19 | |
| 20 | 1 |
About R. Keith Campbell
R. Keith Campbell is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Reproductive Medicine, having authored 150 papers that have together received 3.9k indexed citations. Recurring topics across this work include Diabetes Management and Research (49 papers), Diabetes Treatment and Management (39 papers) and Pancreatic function and diabetes (16 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Reproductive Medicine (540 citations) and Physiology (146 citations). R. Keith Campbell has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Joshua J. Neumiller, John R. White, Stephen M. Setter, William R. Moyle, Danial E. Baker, Michael P. Bernard, Yi Han, Michael P. Pollastri, Jeremiah J. Duby and Lindy D. Wood. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.