Keith Snell
Impact in
- Biochemistry top 0.5%
- Amino Acid Enzymes and Metabolism
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
Papers in
-
- Epigenetics and DNA Methylation 8
- Metabolism, Diabetes, and Cancer 5
- Cancer-related gene regulation 5
- Biochemistry 16
- Amino Acid Enzymes and Metabolism 14
- Co-authors
- Barbara M. Mullock (1 shared paper)Deryck G. Walker (5 shared papers)Suzanne Renwick (4 shared papers)Ulrich Baumann (2 shared papers)David Duff (9 shared papers)Tom J. de Koning (1 shared paper)Marinus Durán (1 shared paper)Bwee Tien Poll‐The (1 shared paper)
- Journals
- Biochemical Society Transactions (29 papers)Biochemical Journal (2 papers)Trends in Biochemical Sciences (2 papers)Bioscience Reports (2 papers)FEBS Letters (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Keith Snell
56 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 110
- Biochemistry 485
- Clinical Biochemistry 354
- Cancer Research 226
- Physiology 376
- Cell Biology 211
Countries citing papers authored by Keith Snell
This map shows the geographic impact of Keith Snell'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 Keith Snell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Snell more than expected).
Fields of papers citing papers by Keith Snell
This network shows the impact of papers produced by Keith Snell. 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 Keith Snell. The network helps show where Keith Snell may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Snell, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 232 | |
| 2 | 2003 | 227 | |
| 3 | Biochemical toxicology : a practical approach | 1987 | 224 |
| 4 | 1977 | 187 | |
| 5 | 1998 | 156 | |
| 6 | 1981 | 130 | |
| 7 | 1980 | 90 | |
| 8 | 1986 | 70 | |
| 9 | 1973 | 54 | |
| 10 | 1985 | 49 | |
| 11 | 1990 | 44 | |
| 12 | 1972 | 41 | |
| 13 | 1981 | 36 | |
| 14 | 1979 | 34 | |
| 15 | 1975 | 33 | |
| 16 | 1985 | 27 | |
| 17 | 1977 | 25 | |
| 18 | 1982 | 24 | |
| 19 | 1973 | 21 | |
| 20 | 1974 | 20 |
About Keith Snell
Keith Snell is a scholar working on Molecular Biology, Biochemistry, Clinical Biochemistry, Cell Biology and Physiology, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (14 papers), Metabolism and Genetic Disorders (13 papers), Muscle metabolism and nutrition (12 papers), Epigenetics and DNA Methylation (8 papers), Diet and metabolism studies (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Cancer-related gene regulation (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Biochemistry (485 citations), Clinical Biochemistry (354 citations), Cancer Research (226 citations), Physiology (376 citations) and Cell Biology (211 citations). Keith Snell has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Barbara M. Mullock, Deryck G. Walker, Suzanne Renwick, Ulrich Baumann, David Duff, Tom J. de Koning, Marinus Durán, Bwee Tien Poll‐The, Ruud Berger and Robert Surtees. Their work appears in journals such as Biochemical Society Transactions, Biochemical Journal, Trends in Biochemical Sciences, Bioscience Reports and FEBS Letters.
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.