Mai Perroud

1.6k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

Mai Perroud is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Mai Perroud has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Mai Perroud's work include NF-κB Signaling Pathways (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Immunotherapy and Immune Responses (2 papers). Mai Perroud is often cited by papers focused on NF-κB Signaling Pathways (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Immunotherapy and Immune Responses (2 papers). Mai Perroud collaborates with scholars based in Switzerland, United States and Australia. Mai Perroud's co-authors include Walter Wahli, Olivier Braissant, Grigorios Krey, Eric Kalkhoven, F. L’Horset, Malcolm G. Parker, Pallavi R. Devchand, Hansjörg Keller, Margot Thome and Olivier Gaide and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Mai Perroud

8 papers receiving 1.3k citations

Hit Papers

Fatty Acids, Eicosanoids, and Hypolipidemic Agents Identi... 1997 2026 2006 2016 1997 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mai Perroud Switzerland 6 938 418 215 201 190 8 1.3k
Walter Wahli Switzerland 10 1.6k 1.7× 475 1.1× 197 0.9× 221 1.1× 144 0.8× 15 2.1k
F. L’Horset France 12 1.5k 1.6× 441 1.1× 170 0.8× 194 1.0× 215 1.1× 15 2.1k
Marilyne Lebret France 14 836 0.9× 266 0.6× 211 1.0× 161 0.8× 179 0.9× 18 1.4k
Corine Glineur France 17 1.4k 1.5× 319 0.8× 332 1.5× 148 0.7× 245 1.3× 24 2.1k
Franklin Liu United States 13 748 0.8× 361 0.9× 145 0.7× 153 0.8× 73 0.4× 17 1.4k
Philip Hallenborg Denmark 19 883 0.9× 567 1.4× 182 0.8× 133 0.7× 99 0.5× 26 1.5k
Peter Christmas United States 17 657 0.7× 232 0.6× 94 0.4× 255 1.3× 235 1.2× 19 1.3k
Bernadette Neve France 17 1.3k 1.4× 305 0.7× 335 1.6× 186 0.9× 204 1.1× 30 2.0k
Suseela Srinivasan United States 22 920 1.0× 191 0.5× 161 0.7× 185 0.9× 507 2.7× 27 1.7k
Lily Jow United States 10 1.3k 1.4× 477 1.1× 163 0.8× 112 0.6× 74 0.4× 10 1.5k

Countries citing papers authored by Mai Perroud

Since Specialization
Citations

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

Fields of papers citing papers by Mai Perroud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Perroud

This figure shows the co-authorship network connecting the top 25 collaborators of Mai Perroud. A scholar is included among the top collaborators of Mai Perroud 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 Mai Perroud. Mai Perroud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Schairer, Rebekka, Ming Zhang, Frederick W. Muskett, et al.. (2020). Allosteric activation of MALT1 by its ubiquitin-binding Ig3 domain. Proceedings of the National Academy of Sciences. 117(6). 3093–3102. 14 indexed citations
2.
Jaworski, Maike, Werner Held, Stéphanie Favre, et al.. (2014). Malt1 protease inactivation efficiently dampens immune responses but causes spontaneous autoimmunity. The EMBO Journal. 33(23). 2765–2781. 110 indexed citations
3.
Pellegrini, Maria, Laure Willen, Mai Perroud, et al.. (2013). Structure of the extracellular domains of human and Xenopus Fn14: implications in the evolution of TWEAK and Fn14 interactions. FEBS Journal. 280(8). 1818–1829. 5 indexed citations
4.
Bossen, Claudia, Aubry Tardivel, Laure Willen, et al.. (2010). Mutation of the BAFF furin cleavage site impairs B‐cell homeostasis and antibody responses. European Journal of Immunology. 41(3). 787–797. 50 indexed citations
5.
Devchand, Pallavi R., Abdelmadjid K. Hihi, Mai Perroud, et al.. (1999). Chemical Probes That Differentially Modulate Peroxisome Proliferator-activated Receptor α and BLTR, Nuclear and Cell Surface Receptors for Leukotriene B4. Journal of Biological Chemistry. 274(33). 23341–23348. 37 indexed citations
6.
Hihi, Abdelmadjid K., et al.. (1999). Chemical probes that differentially modulate PPARα and BLTR, nuclear and cell surface receptors for leukotriene B4. Prostaglandins & Other Lipid Mediators. 59(1-6). 193–193. 3 indexed citations
7.
Keller, Hansjörg, Pallavi R. Devchand, Mai Perroud, & Walter Wahli. (1997). PPARα Structure-Function Relationships Derived from Species-Specific Differences in Responsiveness to Hypolipidemic Agents. Biological Chemistry. 378(7). 651–656. 87 indexed citations
8.
Krey, Grigorios, Olivier Braissant, F. L’Horset, et al.. (1997). Fatty Acids, Eicosanoids, and Hypolipidemic Agents Identified as Ligands of Peroxisome Proliferator-Activated Receptors by Coactivator-Dependent Receptor Ligand Assay. Molecular Endocrinology. 11(6). 779–791. 999 indexed citations breakdown →

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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