S Gatt

1.2k citations
32 papers · 994 · h-index 15

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 6
    • Enzyme Catalysis and Immobilization 2
    • Sphingolipid Metabolism and Signaling 2
    • Lysosomal Storage Disorders Research 9

S Gatt

30 papers receiving 871 citations

Peers

S Gatt
Comparison fields: 5 of 96
  • Biochemistry 139
  • Physiology 335
  • Clinical Biochemistry 79
  • Cell Biology 149
  • Physiology 39
Replace M.A. Rosemeyer with:
M.A. Rosemeyer United Kingdom
Jörg Schlegel Switzerland
Karen Ackermann United States
Wayne E. Criss United States
Pasquale P. Vicario United States
Toshio Ariga Japan
Dagfinn Øgreid Norway
Hyang Woo Lee South Korea
Tushar K. Ray United States
L.S. Dietrich United States
S Gatt relative to M.A. Rosemeyer United Kingdom M.A. Rosemeyer's profile →
Citations per field
00.5×1.5×
M.A. Rosemeyer · 1×
Citations per year

Countries citing papers authored by S Gatt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with S Gatt Line = papers co-authored together S Gatt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1961164
2 1973125
3 195991
4 198680
5
Reversal of acquired resistance to doxorubicin in P388 murine leukemia cells by perhexiline maleate.
198472
6 198866
7 198048
8 199143
9
Lipid storage disorders : biological and medical aspects
198838
10 198035
11 196535
12 195933
13 197524
14 195323
15 198220
16 198014
17 198914
18 197814
19 200312
20 195911

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 994 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), Enzyme Catalysis and Immobilization (2 papers), Neonatal Health and Biochemistry (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Biochemistry (139 citations), Physiology (335 citations), Clinical Biochemistry (79 citations), Cell Biology (149 citations) and Physiology (39 citations). S Gatt has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Y. Barenholz, E. Racker, Robert Salvayre, M Frenkel, Velimir V. Sterk, M. Wolman, Tama Dinur, G. Halperin, L Douste-Blazy and A Ramu. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Archives of Biochemistry and Biophysics, PEDIATRICS and Annals of the New York Academy of Sciences.

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.

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