Isabelle Riezman

2.1k total citations
22 papers, 1.6k citations indexed

About

Isabelle Riezman is a scholar working on Molecular Biology, Cell Biology and Biochemistry. According to data from OpenAlex, Isabelle Riezman has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cell Biology and 5 papers in Biochemistry. Recurrent topics in Isabelle Riezman's work include Sphingolipid Metabolism and Signaling (9 papers), Lipid Membrane Structure and Behavior (8 papers) and Cellular transport and secretion (6 papers). Isabelle Riezman is often cited by papers focused on Sphingolipid Metabolism and Signaling (9 papers), Lipid Membrane Structure and Behavior (8 papers) and Cellular transport and secretion (6 papers). Isabelle Riezman collaborates with scholars based in Switzerland, United States and Germany. Isabelle Riezman's co-authors include Howard Riezman, Manuele Piccolis, Robbie Loewith, Aurélien Roux, Nicolas Chiaruttini, Tobias C. Walther, Doris Berchtold, Jason Roszik, Markus R. Wenk and Michael N. Hall and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Isabelle Riezman

21 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabelle Riezman Switzerland 18 1.2k 444 207 161 158 22 1.6k
Guillaume Thibault Singapore 20 1.0k 0.9× 611 1.4× 167 0.8× 45 0.3× 99 0.6× 38 1.5k
Johannes W. Bigenzahn Austria 16 1.3k 1.1× 271 0.6× 105 0.5× 179 1.1× 92 0.6× 21 1.8k
Xiquan Liang United States 23 1.7k 1.5× 220 0.5× 73 0.4× 123 0.8× 101 0.6× 33 2.3k
Stephanie E. Brown United Kingdom 20 1.7k 1.5× 318 0.7× 271 1.3× 141 0.9× 239 1.5× 27 2.3k
Reiko Sugiura Japan 29 2.0k 1.7× 696 1.6× 56 0.3× 104 0.6× 120 0.8× 101 2.5k
Bénédicte Salin France 28 2.2k 1.9× 478 1.1× 102 0.5× 126 0.8× 362 2.3× 62 2.8k
Gary M. Jenkins United States 13 1.7k 1.5× 612 1.4× 170 0.8× 108 0.7× 276 1.7× 13 2.1k
F.‐Nora Vögtle Germany 28 2.2k 1.9× 328 0.7× 95 0.5× 85 0.5× 233 1.5× 45 2.5k
Marta Artal‐Sanz Spain 21 1.6k 1.4× 245 0.6× 113 0.5× 98 0.6× 255 1.6× 37 2.2k
Sunil Laxman India 22 1.0k 0.9× 100 0.2× 109 0.5× 75 0.5× 108 0.7× 55 1.4k

Countries citing papers authored by Isabelle Riezman

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Riezman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Riezman

This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle Riezman. A scholar is included among the top collaborators of Isabelle Riezman 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 Isabelle Riezman. Isabelle Riezman 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.
Li, Xiaotian, et al.. (2024). A sensitive, expandable AQC-based LC-MS/MS method to measure amino metabolites and sphingolipids in cell and serum samples. Journal of Chromatography B. 1245. 124256–124256. 3 indexed citations
2.
Mandavit, Marion, et al.. (2024). Development of Genetically Encoded Fluorescent KSR1-Based Probes to Track Ceramides during Phagocytosis. International Journal of Molecular Sciences. 25(5). 2996–2996. 1 indexed citations
3.
Enkler, Ludovic, Cristina Prescianotto‐Baschong, Isabelle Riezman, et al.. (2023). Arf1 coordinates fatty acid metabolism and mitochondrial homeostasis. Nature Cell Biology. 25(8). 1157–1172. 43 indexed citations
4.
Aguilera-Romero, Auxiliadora, et al.. (2021). Determination of the lipid composition of the GPI anchor. PLoS ONE. 16(8). e0256184–e0256184. 3 indexed citations
5.
Stahl, Elia, Emerson Ferreira Queiroz, Laurence Marcourt, et al.. (2020). Phosphatidylcholines from Pieris brassicae eggs activate an immune response in Arabidopsis. eLife. 9. 44 indexed citations
6.
Chiaruttini, Nicolas, Isabelle Riezman, Kouichi Funato, et al.. (2018). Lysophospholipids Facilitate COPII Vesicle Formation. Current Biology. 28(12). 1950–1958.e6. 40 indexed citations
7.
Sticco, Lucia, Riccardo Rizzo, Marinella Pirozzi, et al.. (2017). Sphingolipid metabolic flow controls phosphoinositide turnover at the trans ‐Golgi network. The EMBO Journal. 36(12). 1736–1754. 65 indexed citations
8.
Kawano, Shin, Yasushi Tamura, Rieko Kojima, et al.. (2017). Structure–function insights into direct lipid transfer between membranes by Mmm1–Mdm12 of ERMES. The Journal of Cell Biology. 217(3). 959–974. 108 indexed citations
9.
Guri, Yakir, Marco Colombi, Eva Dazert, et al.. (2017). mTORC2 Promotes Tumorigenesis via Lipid Synthesis. Cancer Cell. 32(6). 807–823.e12. 303 indexed citations
10.
11.
Cohen, Yifat, Márton Megyeri, Giuseppe Condomitti, et al.. (2013). The Yeast P5 Type ATPase, Spf1, Regulates Manganese Transport into the Endoplasmic Reticulum. PLoS ONE. 8(12). e85519–e85519. 54 indexed citations
12.
Berchtold, Doris, Manuele Piccolis, Nicolas Chiaruttini, et al.. (2012). Plasma membrane stress induces relocalization of Slm proteins and activation of TORC2 to promote sphingolipid synthesis. Nature Cell Biology. 14(5). 542–547. 269 indexed citations
13.
Epstein, Sharon, Clare L. Kirkpatrick, Guillaume A. Castillon, et al.. (2012). Activation of the unfolded protein response pathway causes ceramide accumulation in yeast and INS-1E insulinoma cells. Journal of Lipid Research. 53(3). 412–420. 35 indexed citations
14.
Young, Brian, Malene L. Urbanus, Xue Li Guan, et al.. (2011). A Systems Biology Approach Reveals the Role of a Novel Methyltransferase in Response to Chemical Stress and Lipid Homeostasis. PLoS Genetics. 7(10). e1002332–e1002332. 17 indexed citations
15.
Souza, Cleiton Martins, Tatjana M.E. Schwabe, Harald Pichler, et al.. (2011). A stable yeast strain efficiently producing cholesterol instead of ergosterol is functional for tryptophan uptake, but not weak organic acid resistance. Metabolic Engineering. 13(5). 555–569. 94 indexed citations
16.
Ternes, Philipp, Kirstin Feussner, Isabelle Riezman, et al.. (2011). Two Pathways of Sphingolipid Biosynthesis Are Separated in the Yeast Pichia pastoris. Journal of Biological Chemistry. 286(13). 11401–11414. 56 indexed citations
17.
Guan, Xue Li, Isabelle Riezman, Markus R. Wenk, & Howard Riezman. (2010). Yeast Lipid Analysis and Quantification by Mass Spectrometry. Methods in enzymology on CD-ROM/Methods in enzymology. 470. 369–391. 65 indexed citations
18.
Carvalho, Maria, Dominik Schwudke, Júlio L. Sampaio, et al.. (2010). Survival strategies of a sterol auxotroph. Development. 137(21). 3675–3685. 122 indexed citations
19.
Hannich, J. Thomas, Eugeni V. Entchev, Fanny Mende, et al.. (2009). Methylation of the Sterol Nucleus by STRM-1 Regulates Dauer Larva Formation in Caenorhabditis elegans. Developmental Cell. 16(6). 833–843. 46 indexed citations
20.
Howell, Kate, Sharon Epstein, Isabelle Riezman, et al.. (2009). Protection of C. elegans from Anoxia by HYL-2 Ceramide Synthase. Science. 324(5925). 381–384. 139 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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