Stefan Petry

1.4k total citations
32 papers, 1.0k citations indexed

About

Stefan Petry is a scholar working on Molecular Biology, Organic Chemistry and Biochemistry. According to data from OpenAlex, Stefan Petry has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 8 papers in Organic Chemistry and 7 papers in Biochemistry. Recurrent topics in Stefan Petry's work include Glycosylation and Glycoproteins Research (7 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Lipid metabolism and biosynthesis (6 papers). Stefan Petry is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Lipid metabolism and biosynthesis (6 papers). Stefan Petry collaborates with scholars based in Germany, France and United States. Stefan Petry's co-authors include Günter Müller, Norbert Tennagels, Alexander Mildner, Herbert Jäckle, Ronald P. Kühnlein, Sonja Fellert, Sebastian Grönke, Jochen Lehmann, Yassine Ben Ali and Abdelkarim Abousalham and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Stefan Petry

31 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stefan Petry Germany 16 579 285 188 187 111 32 1.0k
Koji Terayama Japan 12 756 1.3× 500 1.8× 62 0.3× 229 1.2× 114 1.0× 19 1.2k
Marilene Demasi Brazil 23 918 1.6× 116 0.4× 80 0.4× 121 0.6× 74 0.7× 49 1.5k
Laurent Marty Germany 6 1.3k 2.2× 231 0.8× 75 0.4× 85 0.5× 43 0.4× 6 1.7k
Kap-Seok Yang South Korea 9 1.3k 2.3× 328 1.2× 40 0.2× 219 1.2× 64 0.6× 10 1.7k
Aleš Vančura United States 26 1.8k 3.1× 248 0.9× 42 0.2× 132 0.7× 53 0.5× 74 2.3k
José Ayté Spain 31 2.1k 3.6× 161 0.6× 77 0.4× 168 0.9× 35 0.3× 81 2.4k
Yoshinari Miyata United States 19 1.1k 1.8× 39 0.1× 129 0.7× 216 1.2× 143 1.3× 28 1.5k
Brenda J. Blacklock United States 10 576 1.0× 152 0.5× 138 0.7× 68 0.4× 100 0.9× 20 1.2k
Alaattin Kaya United States 20 882 1.5× 142 0.5× 56 0.3× 213 1.1× 25 0.2× 37 1.4k
Gérard Loison France 17 761 1.3× 111 0.4× 167 0.9× 62 0.3× 30 0.3× 27 998

Countries citing papers authored by Stefan Petry

Since Specialization
Citations

This map shows the geographic impact of Stefan Petry'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 Stefan Petry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Petry more than expected).

Fields of papers citing papers by Stefan Petry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Petry. 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 Stefan Petry. The network helps show where Stefan Petry may publish in the future.

Co-authorship network of co-authors of Stefan Petry

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Petry. A scholar is included among the top collaborators of Stefan Petry 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 Stefan Petry. Stefan Petry 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
1.
Wohlfart, Paulus, Riyaz Mehta, Anish Konkar, et al.. (2023). 9-PAHSA displays a weak anti-inflammatory potential mediated by specific antagonism of chemokine G protein-coupled receptors. SHILAP Revista de lepidopterología. 3.
3.
Wang, Nan, Shuo Zhang, Yafei Yuan, et al.. (2022). Molecular basis for inhibiting human glucose transporters by exofacial inhibitors. Nature Communications. 13(1). 2632–2632. 25 indexed citations
4.
Bielohuby, Maximilian, Kristin Breitschopf, Matthias Löhn, et al.. (2018). Acute and Repeated Treatment with 5-PAHSA or 9-PAHSA Isomers Does Not Improve Glucose Control in Mice. Cell Metabolism. 28(2). 217–227.e13. 50 indexed citations
5.
Schreuder, Herman, Volker Derdau, Hans Matter, et al.. (2017). Identification and Characterization of a Single High‐Affinity Fatty Acid Binding Site in Human Serum Albumin. Angewandte Chemie. 130(4). 1056–1060. 2 indexed citations
6.
Schreuder, Herman, Volker Derdau, Hans Matter, et al.. (2017). Identification and Characterization of a Single High‐Affinity Fatty Acid Binding Site in Human Serum Albumin. Angewandte Chemie International Edition. 57(4). 1044–1048. 46 indexed citations
7.
Czechtizky, Werngard, et al.. (2014). Discovery and pharmacological characterization of a novel small molecule inhibitor of phosphatidylinositol-5-phosphate 4-kinase, type II, beta. Biochemical and Biophysical Research Communications. 449(3). 327–331. 25 indexed citations
8.
Ali, Yassine Ben, Robert Verger, Frédéric Carrière, et al.. (2011). The molecular mechanism of human hormone-sensitive lipase inhibition by substituted 3-phenyl-5-alkoxy-1,3,4-oxadiazol-2-ones. Biochimie. 94(1). 137–145. 27 indexed citations
9.
Pack, Andreas, et al.. (2008). Stable Oxygen Isotopes for Tracing the Origin of Clogging in Continuous Casting Submerged Entry Nozzles. steel research international. 79(2). 149–155. 9 indexed citations
10.
Chahinian, Henri, Yassine Ben Ali, Abdelkarim Abousalham, et al.. (2005). Substrate specificity and kinetic properties of enzymes belonging to the hormone-sensitive lipase family: Comparison with non-lipolytic and lipolytic carboxylesterases. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1738(1-3). 29–36. 38 indexed citations
11.
Petry, Stefan, Yassine Ben Ali, Henri Chahinian, et al.. (2005). Sensitive assay for hormone-sensitive lipase using NBD-labeled monoacylglycerol to detect low activities in rat adipocytes. Journal of Lipid Research. 46(3). 603–614. 14 indexed citations
12.
Ali, Yassine Ben, Frédéric Carrière, Robert Verger, et al.. (2005). Continuous monitoring of cholesterol oleate hydrolysis by hormone-sensitive lipase and other cholesterol esterases. Journal of Lipid Research. 46(5). 994–1000. 23 indexed citations
13.
Welte, Stefan, et al.. (2004). 6,8-Difluoro-4-methylumbiliferyl phosphate: a fluorogenic substrate for protein tyrosine phosphatases. Analytical Biochemistry. 338(1). 32–38. 62 indexed citations
14.
Herling, Andreas W., Dietmar Schwab, Hans-Joerg Burger, et al.. (2002). Prolonged blood glucose reduction in mrp-2 deficient rats (GY/TR−) by the glucose-6-phosphate translocase inhibitor S 3025. Biochimica et Biophysica Acta (BBA) - General Subjects. 1569(1-3). 105–110. 10 indexed citations
15.
Müller, Günter, et al.. (1997). Analysis of lipid metabolism in adipocytes using a fluorescent fatty acid derivative. I. Insulin stimulation of lipogenesis. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1347(1). 23–39. 15 indexed citations
16.
Lehmann, Jochen, et al.. (1994). Selective defucosylation by mercaptolysis. A potential step in analyzing branched oligosaccharides. Carbohydrate Research. 264(2). 199–207. 1 indexed citations
18.
Lehmann, Jochen, et al.. (1994). Simple, inexpensive system for using thin-layer chromatography for micro-preparative purposes. Journal of Chromatography A. 684(2). 370–373. 2 indexed citations

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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