C.J. Masters
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders 12
- Biochemistry top 1%
- Lipid metabolism and biosynthesis 9
- Cell Biology top 2%
- Muscle metabolism and nutrition 12
- Molecular Biology top 5%
- Peroxisome Proliferator-Activated Receptors 8
- Animal Science and Zoology top 5%
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- Adipose Tissue and Metabolism 17
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- Cancer, Hypoxia, and Metabolism 13
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- Cholinesterase and Neurodegenerative Diseases 10
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- Computational Drug Discovery Methods 9
C.J. Masters
105 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 112
- Clinical Biochemistry 330
- Biochemistry 314
- Cell Biology 685
- Molecular Biology 1.5k
- Animal Science and Zoology 194
Countries citing papers authored by C.J. Masters
This map shows the geographic impact of C.J. Masters'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 C.J. Masters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.J. Masters more than expected).
Fields of papers citing papers by C.J. Masters
This network shows the impact of papers produced by C.J. Masters. 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 C.J. Masters. The network helps show where C.J. Masters may publish in the future.
Co-authorship network
The 22 scholars most cited alongside C.J. Masters, 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 | 1995 | 0 | |
| 2 | The binding of glycolytic enzymes to the cytoskeleton--influence of pH. | 1990 | 8 |
| 3 | The influence of molecular crowding on the binding of glycolytic enzymes to cytoskeletal structure. | 1989 | 8 |
| 4 | 1988 | 16 | |
| 5 | 1978 | 12 | |
| 6 | 1978 | 7 | |
| 7 | 1977 | 9 | |
| 8 | 1976 | 37 | |
| 9 | 1974 | 1 | |
| 10 | 1974 | 17 | |
| 11 | 1973 | 43 | |
| 12 | 1972 | 6 | |
| 13 | 1972 | 11 | |
| 14 | 1971 | 8 | |
| 15 | 1970 | 13 | |
| 16 | 1970 | 7 | |
| 17 | 1970 | 13 | |
| 18 | 1970 | 8 | |
| 19 | 1967 | 78 | |
| 20 | 1964 | 35 |
About C.J. Masters
C.J. Masters is a scholar working on Biochemistry, Clinical Biochemistry, Cell Biology, Physiology and Cancer Research, having authored 107 papers that have together received 2.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (17 papers), Cancer, Hypoxia, and Metabolism (13 papers), Metabolism and Genetic Disorders (12 papers), Muscle metabolism and nutrition (12 papers), Cholinesterase and Neurodegenerative Diseases (10 papers), Computational Drug Discovery Methods (9 papers), Lipid metabolism and biosynthesis (9 papers) and Peroxisome Proliferator-Activated Receptors (8 papers). The work is most often cited by research in Clinical Biochemistry (330 citations), Biochemistry (314 citations), Cell Biology (685 citations), Molecular Biology (1.5k citations) and Animal Science and Zoology (194 citations). C.J. Masters has collaborated with scholars based in Australia and United States. Frequent co-authors include Roger S. Holmes, F.M. Clarke, AR Neill, Donald J. Winzor, Graham L. Jones, Terence P. Walsh, D. Morton, E. Payne, Denis I. Crane and Edwin C. Webb. Their work appears in journals such as Archives of Biochemistry and Biophysics, Biochemical Journal, Trends in Biochemical Sciences, FEBS Letters and Reproduction.
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.