Kenneth L. Brayman
- Surgery top 1%
- Transplantation top 0.1%
- Genetics top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 5%
- Co-authors
- Leslie M. ShawPreeti ChhabraMagdalena KoreckaHarold I. FeldmanClyde F. BarkerAli NajiBruce KaplanRobert J. Ketchum
- Topics
- Renal Transplantation Outcomes and Treatments (66 papers)Pancreatic function and diabetes (58 papers)Organ Transplantation Techniques and Outcomes (40 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Kenneth L. Brayman
167 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 131
- Surgery 2.5k
- Transplantation 2.1k
- Genetics 802
- Endocrinology, Diabetes and Metabolism 727
- Epidemiology 723
Countries citing papers authored by Kenneth L. Brayman
This map shows the geographic impact of Kenneth L. Brayman'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 Kenneth L. Brayman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth L. Brayman more than expected).
Fields of papers citing papers by Kenneth L. Brayman
This network shows the impact of papers produced by Kenneth L. Brayman. 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 Kenneth L. Brayman. The network helps show where Kenneth L. Brayman may publish in the future.
Co-authorship network of co-authors of Kenneth L. Brayman
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth L. Brayman. A scholar is included among the top collaborators of Kenneth L. Brayman 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 Kenneth L. Brayman. Kenneth L. Brayman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 33 | |
| 9 | 7 | |
| 10 | 13 | |
| 11 | 93 | |
| 12 | 159 | |
| 13 | 44 | |
| 14 | 8 | |
| 15 | 24 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 9 | |
| 19 | 8 | |
| 20 | The effect of phenobarbital and methylprednisolone on the biotransformation of cyclosporine in the rat. | 6 |
About Kenneth L. Brayman
Kenneth L. Brayman is a scholar working on Transplantation, Surgery and Endocrinology, Diabetes and Metabolism, having authored 174 papers that have together received 5.1k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (66 papers), Pancreatic function and diabetes (58 papers) and Organ Transplantation Techniques and Outcomes (40 papers). The work is most often cited by research in Transplantation (2.1k citations), Surgery (2.5k citations) and Endocrinology, Diabetes and Metabolism (727 citations). Kenneth L. Brayman has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Leslie M. Shaw, Preeti Chhabra, Magdalena Korecka, Harold I. Feldman, Clyde F. Barker, Ali Naji, Bruce Kaplan, Robert J. Ketchum, Robert Grossman and Julianne E. Burns. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.