Brian K. England
- Nephrology top 0.5%
- Molecular Biology top 10%
- Cell Biology top 2%
- Physiology top 5%
- Surgery
- Co-authors
- William E. MitchS. Russ PriceJames L. BaileyNancy L. RogersTom GreeneSharon G. AdlerArlene W. CaggiulaLawrence G. Hunsicker
- Topics
- Muscle metabolism and nutrition (13 papers)Metabolism and Genetic Disorders (8 papers)Diet and metabolism studies (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationKidney International
- Partner nations
- United StatesFrance
In The Last Decade
Brian K. England
22 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Nephrology 1.1k
- Molecular Biology 851
- Cell Biology 616
- Physiology 592
- Surgery 269
Countries citing papers authored by Brian K. England
This map shows the geographic impact of Brian K. England'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 Brian K. England with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian K. England more than expected).
Fields of papers citing papers by Brian K. England
This network shows the impact of papers produced by Brian K. England. 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 Brian K. England. The network helps show where Brian K. England may publish in the future.
Co-authorship network of co-authors of Brian K. England
This figure shows the co-authorship network connecting the top 25 collaborators of Brian K. England. A scholar is included among the top collaborators of Brian K. England 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 Brian K. England. Brian K. England is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 34 | |
| 3 | Predictors of the progression of renal disease in the Modification of Diet in Renal Disease Studybreakdown → | 549 |
| 4 | Signals regulating accelerated muscle protein catabolism in uremia. | 8 |
| 5 | 226 | |
| 6 | 81 | |
| 7 | 277 | |
| 8 | 344 | |
| 9 | 71 | |
| 10 | 13 | |
| 11 | 24 | |
| 12 | 50 | |
| 13 | 26 | |
| 14 | 139 | |
| 15 | 304 | |
| 16 | 30 | |
| 17 | 56 | |
| 18 | 45 | |
| 19 | 11 | |
| 20 | in rat myocardium | 1 |
About Brian K. England
Brian K. England is a scholar working on Clinical Biochemistry, Cell Biology and Nephrology, having authored 23 papers that have together received 2.4k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (13 papers), Metabolism and Genetic Disorders (8 papers) and Diet and metabolism studies (6 papers). The work is most often cited by research in Nephrology (1.1k citations), Cell Biology (616 citations) and Clinical Biochemistry (209 citations). Brian K. England has collaborated with scholars based in United States and France. Frequent co-authors include William E. Mitch, S. Russ Price, James L. Bailey, Nancy L. Rogers, Tom Greene, Sharon G. Adler, Arlene W. Caggiula, Lawrence G. Hunsicker, Paul E. Teschan and John W. Kusek. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Kidney International.
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.