S Gatt

1.2k total citations
32 papers, 909 citations indexed

About

S Gatt is a scholar working on Molecular Biology, Physiology and Organic Chemistry. According to data from OpenAlex, S Gatt has authored 32 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Physiology and 6 papers in Organic Chemistry. Recurrent topics in S Gatt's work include Lysosomal Storage Disorders Research (9 papers), Glycosylation and Glycoproteins Research (6 papers) and Carbohydrate Chemistry and Synthesis (6 papers). S Gatt is often cited by papers focused on Lysosomal Storage Disorders Research (9 papers), Glycosylation and Glycoproteins Research (6 papers) and Carbohydrate Chemistry and Synthesis (6 papers). S Gatt collaborates with scholars based in Israel, United States and France. S Gatt's co-authors include Y. Barenholz, E. Racker, Robert Salvayre, M. Wolman, M Frenkel, Velimir V. Sterk, Tama Dinur, G. Halperin, L Douste-Blazy and A Ramu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Annual Review of Biochemistry.

In The Last Decade

S Gatt

32 papers receiving 815 citations

Peers

S Gatt
Comparison fields: 5 of 91
  • Molecular Biology 531
  • Physiology 317
  • Cell Biology 148
  • Organic Chemistry 123
  • Biochemistry 115
Replace S.E. Polakis with:
S.E. Polakis United States
R Y Hsu United States
Toshio Ariga Japan
M.A. Rosemeyer United Kingdom
David H. Leaback United Kingdom
Gerty T. Cori United States
Masazumi Takeshita Japan
David K. Herron United States
Christoph Patzelt Germany
Jonny Wijkander Sweden
S.E. Polakis United States View profile →
Citations per field, relative to S Gatt
S Gatt · 1×
Citations per year, relative to S Gatt
S Gatt · 1×

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-authorship network of co-authors of S Gatt

This figure shows the co-authorship network connecting the top 25 collaborators of S Gatt. A scholar is included among the top collaborators of S Gatt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S Gatt. S Gatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 11
2
Selective photosensitization of human leukemic cells by a pyrene-containing fatty acid.
6
3 13
4 8
5
Lipid storage disorders : biological and medical aspects
37
6 59
7 17
8 3
9
Reversal of acquired resistance to doxorubicin in P388 murine leukemia cells by perhexiline maleate.
71
10
Studies on human acid beta-glucosidase and the nature of the molecular defect in type 1 Ashkenazi Gaucher disease.
3
11 5
12 43
13 23
14
Proceedings: Rate equations and simulation curves for enzymatic reactions utilizing lipids as substrates.
1
15 1
16 6
17 133
18 24
19 11
20 80

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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