Hazel Sutherland
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
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- Muscle Physiology and Disorders 16
-
- Muscle activation and electromyography studies 17
- Co-authors
- Jonathan C. Jarvis (40 shared papers)Stanley Salmons (21 shared papers)Zoe Ashley (9 shared papers)Michael Russold (8 shared papers)L. Ranganath (16 shared papers)James A. Gallagher (12 shared papers)Winfried Mayr (5 shared papers)Peter J. Wilson (11 shared papers)
- Journals
- Muscle & Nerve (4 papers)Osteoarthritis and Cartilage (3 papers)The FASEB Journal (3 papers)Artificial Organs (3 papers)Journal of Inherited Metabolic Disease (3 papers)
- Partner nations
- United KingdomAustriaUnited States
In The Last Decade
Hazel Sutherland
46 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Clinical Biochemistry 239
- Biochemistry 123
- Neurology 84
- Cellular and Molecular Neuroscience 181
- Physiology 247
Countries citing papers authored by Hazel Sutherland
This map shows the geographic impact of Hazel Sutherland'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 Hazel Sutherland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hazel Sutherland more than expected).
Fields of papers citing papers by Hazel Sutherland
This network shows the impact of papers produced by Hazel Sutherland. 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 Hazel Sutherland. The network helps show where Hazel Sutherland may publish in the future.
Co-authors
The 25 scholars most cited alongside Hazel Sutherland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 87 | |
| 2 | 2013 | 72 | |
| 3 | 2005 | 62 | |
| 4 | 2019 | 53 | |
| 5 | 2007 | 52 | |
| 6 | 1996 | 48 | |
| 7 | 2008 | 46 | |
| 8 | 1996 | 42 | |
| 9 | 1996 | 42 | |
| 10 | 2012 | 40 | |
| 11 | 2015 | 37 | |
| 12 | 2005 | 36 | |
| 13 | 1998 | 36 | |
| 14 | 2001 | 32 | |
| 15 | 2019 | 27 | |
| 16 | 2005 | 26 | |
| 17 | 2014 | 25 | |
| 18 | 2019 | 24 | |
| 19 | 2001 | 24 | |
| 20 | 2019 | 20 |
About Hazel Sutherland
Hazel Sutherland is a scholar working on Molecular Biology, Biomedical Engineering, Clinical Biochemistry, Physiology and Biochemistry, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (17 papers), Muscle Physiology and Disorders (16 papers), Metabolism and Genetic Disorders (14 papers), Amino Acid Enzymes and Metabolism (9 papers), Neuroscience and Neural Engineering (7 papers), Transcranial Magnetic Stimulation Studies (5 papers), Cardiomyopathy and Myosin Studies (5 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Clinical Biochemistry (239 citations), Biochemistry (123 citations), Neurology (84 citations), Cellular and Molecular Neuroscience (181 citations) and Physiology (247 citations). Hazel Sutherland has collaborated with scholars based in United Kingdom, Austria and United States. Frequent co-authors include Jonathan C. Jarvis, Stanley Salmons, Zoe Ashley, Michael Russold, L. Ranganath, James A. Gallagher, Winfried Mayr, Peter J. Wilson, Hermann Lanmüller and Ewald Unger. Their work appears in journals such as Muscle & Nerve, Osteoarthritis and Cartilage, The FASEB Journal, Artificial Organs and Journal of Inherited Metabolic 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.