F. Moller
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
-
- Metabolism, Diabetes, and Cancer 2
- Peroxisome Proliferator-Activated Receptors 2
- Mitochondrial Function and Pathology 2
-
- Metabolism and Genetic Disorders 4
- Co-authors
- Clement L. Markert (1 shared paper)Margaret R. Hough (1 shared paper)A.L. Black (3 shared papers)K. H. Wong (1 shared paper)H. D. Jackson (1 shared paper)Jan Rendel (1 shared paper)Ole Aalund (1 shared paper)M. W. Roomi (1 shared paper)
- Journals
- Journal of Neurochemistry (1 paper)Analytical Biochemistry (1 paper)Life Sciences (1 paper)Genetics (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
F. Moller
13 papers receiving 808 citations
F. Moller's Hit Papers
Peers
Comparison fields: 5 of 105
- Biochemistry 112
- Clinical Biochemistry 69
- Cell Biology 126
- Molecular Biology 469
- Pharmaceutical Science 30
Countries citing papers authored by F. Moller
This map shows the geographic impact of F. Moller'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 F. Moller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Moller more than expected).
Fields of papers citing papers by F. Moller
This network shows the impact of papers produced by F. Moller. 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 F. Moller. The network helps show where F. Moller may publish in the future.
Co-authors
The 13 scholars most cited alongside F. Moller, 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 | MULTIPLE FORMS OF ENZYMES: TISSUE, ONTOGENETIC, AND SPECIES SPECIFIC PATTERNS Hit paper breakdown → | 1959 | 768 |
| 2 | 1982 | 30 | |
| 3 | 1964 | 25 | |
| 4 | 1977 | 23 | |
| 5 | 1981 | 22 | |
| 6 | 1968 | 20 | |
| 7 | 1966 | 17 | |
| 8 | 1965 | 12 | |
| 9 | 1970 | 11 | |
| 10 | 1974 | 9 | |
| 11 | 1983 | 8 | |
| 12 | 1973 | 2 | |
| 13 | Glycerol metabolism in the ruminant. | 1969 | 1 |
About F. Moller
F. Moller is a scholar working on Molecular Biology, Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Biochemistry and Surgery, having authored 13 papers that have together received 948 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (4 papers), Pancreatic function and diabetes (2 papers), Genetic and phenotypic traits in livestock (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Muscle metabolism and nutrition (2 papers), Alkaline Phosphatase Research Studies (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Biochemistry (112 citations), Clinical Biochemistry (69 citations), Cell Biology (126 citations), Molecular Biology (469 citations) and Pharmaceutical Science (30 citations). F. Moller has collaborated with scholars based in United States and Canada. Frequent co-authors include Clement L. Markert, Margaret R. Hough, A.L. Black, K. H. Wong, H. D. Jackson, Jan Rendel, Ole Aalund, M. W. Roomi, Robert W. Phillips and John E. Wilson. Their work appears in journals such as Journal of Neurochemistry, Analytical Biochemistry, Life Sciences, Genetics and Journal of Biological Chemistry.
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.