Brian E. Cox
Impact in
- Neurology top 10%
- Neurological diseases and metabolism
- Biochemistry top 10%
- Antioxidant Activity and Oxidative Stress
Papers in
-
- Peroxisome Proliferator-Activated Receptors 4
- Sphingolipid Metabolism and Signaling 4
- Prion Diseases and Protein Misfolding 2
- Lipid Membrane Structure and Behavior 2
- Surgery 5
- Cholesterol and Lipid Metabolism 5
- Co-authors
- Mick F. Tuite (2 shared papers)Frédérique Ness (1 shared paper)Jody C. Ullery (4 shared papers)W. Gray Jerome (6 shared papers)Jerome W. Gray (2 shared papers)Patricia G. Yancey (2 shared papers)MacRae F. Linton (2 shared papers)T. Alp İkizler (1 shared paper)
- Journals
- Journal of Lipid Research (5 papers)Microscopy and Microanalysis (3 papers)Journal of the American College of Cardiology (1 paper)Free Radical Biology and Medicine (1 paper)Genetics (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Brian E. Cox
16 papers receiving 716 citations
Peers
Comparison fields: 5 of 77
- Neurology 88
- Biochemistry 51
- Biochemistry 62
- Nephrology 52
- Endocrinology, Diabetes and Metabolism 95
Countries citing papers authored by Brian E. Cox
This map shows the geographic impact of Brian E. Cox'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 E. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E. Cox more than expected).
Fields of papers citing papers by Brian E. Cox
This network shows the impact of papers produced by Brian E. Cox. 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 E. Cox. The network helps show where Brian E. Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian E. Cox, 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 | 2003 | 161 | |
| 2 | 2012 | 157 | |
| 3 | 2007 | 86 | |
| 4 | 2008 | 49 | |
| 5 | 2011 | 48 | |
| 6 | 2005 | 47 | |
| 7 | 2007 | 38 | |
| 8 | 2009 | 36 | |
| 9 | 2010 | 28 | |
| 10 | 2017 | 27 | |
| 11 | 2002 | 24 | |
| 12 | 2009 | 12 | |
| 13 | 2001 | 8 | |
| 14 | 2011 | 3 | |
| 15 | 2002 | 1 | |
| 16 | 2005 | 1 |
About Brian E. Cox
Brian E. Cox is a scholar working on Molecular Biology, Surgery, Biochemistry, Pharmacology and Biochemistry, having authored 16 papers that have together received 726 indexed citations. Recurring topics across this work include Antioxidant Activity and Oxidative Stress (5 papers), Cholesterol and Lipid Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Prion Diseases and Protein Misfolding (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Neurology (88 citations), Biochemistry (51 citations), Biochemistry (62 citations), Nephrology (52 citations) and Endocrinology, Diabetes and Metabolism (95 citations). Brian E. Cox has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mick F. Tuite, Frédérique Ness, Jody C. Ullery, W. Gray Jerome, Jerome W. Gray, Patricia G. Yancey, MacRae F. Linton, T. Alp İkizler, Ayumi Shintani and Aihua Bian. Their work appears in journals such as Journal of Lipid Research, Microscopy and Microanalysis, Journal of the American College of Cardiology, Free Radical Biology and Medicine and Genetics.
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.