S Gatt
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Physiology top 10%
- Lysosomal Storage Disorders Research
Papers in
-
- Glycosylation and Glycoproteins Research 6
- Enzyme Catalysis and Immobilization 2
- Physiology 15
- Lysosomal Storage Disorders Research 9
- Co-authors
- Y. Barenholz (5 shared papers)E. Racker (3 shared papers)Robert Salvayre (4 shared papers)Velimir V. Sterk (1 shared paper)M. Wolman (1 shared paper)M Frenkel (1 shared paper)Tama Dinur (5 shared papers)G. Halperin (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Biochemical Journal (2 papers)PEDIATRICS (2 papers)Archives of Biochemistry and Biophysics (2 papers)FEBS Letters (1 paper)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
S Gatt
32 papers receiving 815 citations
Peers
Comparison fields: 5 of 91
- Biochemistry 115
- Physiology 317
- Cell Biology 148
- Clinical Biochemistry 61
- Molecular Biology 531
Countries citing papers authored by S Gatt
This map shows the geographic impact of S Gatt'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 S Gatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Gatt more than expected).
Fields of papers citing papers by S Gatt
This network shows the impact of papers produced by S Gatt. 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 S Gatt. The network helps show where S Gatt may publish in the future.
Co-authors
The 25 scholars most cited alongside S Gatt, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1961 | 133 | |
| 2 | 1973 | 108 | |
| 3 | 1959 | 80 | |
| 4 | 1986 | 75 | |
| 5 | Reversal of acquired resistance to doxorubicin in P388 murine leukemia cells by perhexiline maleate. | 1984 | 71 |
| 6 | 1988 | 59 | |
| 7 | 1980 | 43 | |
| 8 | 1991 | 39 | |
| 9 | Lipid storage disorders : biological and medical aspects | 1988 | 37 |
| 10 | 1965 | 31 | |
| 11 | 1980 | 29 | |
| 12 | 1959 | 24 | |
| 13 | 1975 | 23 | |
| 14 | 1953 | 22 | |
| 15 | 1982 | 19 | |
| 16 | 1986 | 17 | |
| 17 | 1978 | 14 | |
| 18 | 1989 | 13 | |
| 19 | 2003 | 11 | |
| 20 | 1959 | 11 |
About S Gatt
S Gatt is a scholar working on Molecular Biology, Physiology, Organic Chemistry, Endocrinology, Diabetes and Metabolism and Surgery, having authored 32 papers that have together received 909 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (9 papers), Glycosylation and Glycoproteins Research (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Diet, Metabolism, and Disease (4 papers), Pancreatic function and diabetes (2 papers), Enzyme Catalysis and Immobilization (2 papers), Neonatal Health and Biochemistry (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Biochemistry (115 citations), Physiology (317 citations), Cell Biology (148 citations), Clinical Biochemistry (61 citations) and Molecular Biology (531 citations). S Gatt has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Y. Barenholz, E. Racker, Robert Salvayre, Velimir V. Sterk, M. Wolman, M Frenkel, Tama Dinur, G. Halperin, L Douste-Blazy and Z Fuks. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, PEDIATRICS, Archives of Biochemistry and Biophysics 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.