Christopher R. Burrow
Impact in
- Genetics top 2%
- Genetic and Kidney Cyst Diseases
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Renal Diseases and Glomerulopathies 5
- Co-authors
- Patricia D. WilsonMelissa L. WillMichael J. AckermanDavid J. TesterMark CurranOlivier DevuystDeborah HyinkGeng Li
- Journals
- American Journal of Physiology-Renal Physiology (4 papers)Kidney International (4 papers)Nephron Experimental Nephrology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (3 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Christopher R. Burrow
47 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 101
- Genetics 836
- Hematology 288
- Molecular Biology 1.8k
- Cardiology and Cardiovascular Medicine 494
- Nephrology 126
Countries citing papers authored by Christopher R. Burrow
This map shows the geographic impact of Christopher R. Burrow'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 Christopher R. Burrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher R. Burrow more than expected).
Fields of papers citing papers by Christopher R. Burrow
This network shows the impact of papers produced by Christopher R. Burrow. 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 Christopher R. Burrow. The network helps show where Christopher R. Burrow may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher R. Burrow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 5 | |
| 2 | 2008 | 101 | |
| 3 | 2006 | 62 | |
| 4 | 2005 | 18 | |
| 5 | 2005 | 28 | |
| 6 | 2004 | 79 | |
| 7 | 2004 | 5 | |
| 8 | 2003 | 40 | |
| 9 | 2003 | 224 | |
| 10 | 2003 | 25 | |
| 11 | 2002 | 3 | |
| 12 | 2000 | 81 | |
| 13 | 2000 | 32 | |
| 14 | 2000 | 86 | |
| 15 | 1999 | 50 | |
| 16 | 1999 | 40 | |
| 17 | 1999 | 40 | |
| 18 | 1994 | 13 | |
| 19 | 1987 | 7 | |
| 20 | 1985 | 29 |
About Christopher R. Burrow
Christopher R. Burrow is a scholar working on Nephrology, Transplantation, Genetics, Modeling and Simulation and Molecular Biology, having authored 47 papers that have together received 2.7k indexed citations. Recurring topics across this work include Renal and related cancers (19 papers), Genetic and Kidney Cyst Diseases (17 papers), Biomedical Research and Pathophysiology (7 papers), Renal Diseases and Glomerulopathies (5 papers), Virus-based gene therapy research (3 papers), Genetic Syndromes and Imprinting (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Organ Donation and Transplantation (3 papers). The work is most often cited by research in Genetics (836 citations), Hematology (288 citations), Molecular Biology (1.8k citations), Cardiology and Cardiovascular Medicine (494 citations) and Nephrology (126 citations). Christopher R. Burrow has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Patricia D. Wilson, Melissa L. Will, Michael J. Ackerman, David J. Tester, Mark Curran, Olivier Devuyst, Deborah Hyink, Geng Li, Xiaogang Li and Patricia Rockwell. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Kidney International, Nephron Experimental Nephrology, Proceedings of the National Academy of Sciences and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
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.