Magali Chemali

1.3k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Magali Chemali is a scholar working on Epidemiology, Virology and Physiology. According to data from OpenAlex, Magali Chemali has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 3 papers in Virology and 3 papers in Physiology. Recurrent topics in Magali Chemali's work include Autophagy in Disease and Therapy (5 papers), HIV Research and Treatment (3 papers) and Toxoplasma gondii Research Studies (3 papers). Magali Chemali is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), HIV Research and Treatment (3 papers) and Toxoplasma gondii Research Studies (3 papers). Magali Chemali collaborates with scholars based in Canada, France and Australia. Magali Chemali's co-authors include Michel Desjardins, Annie Laplante, Christiane Rondeau, Luc English, Étienne Gagnon, Louis‐Éric Trudeau, Angélique Bellemare‐Pelletier, Heidi M. McBride, Yan Burelle and Diana Matheoud and has published in prestigious journals such as Cell, Nature Immunology and Biochemical Journal.

In The Last Decade

Magali Chemali

9 papers receiving 1000 citations

Hit Papers

Parkinson’s Disease-Related Proteins PINK1 and Parkin Rep... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Magali Chemali Canada 8 528 447 251 162 115 9 1.0k
Jelena Korać-Prlić Croatia 11 887 1.7× 678 1.5× 231 0.9× 256 1.6× 123 1.1× 15 1.5k
Burcu Anar United Kingdom 16 167 0.3× 479 1.1× 190 0.8× 281 1.7× 175 1.5× 20 1.3k
Gabriele Zaffagnini Austria 10 1.4k 2.6× 1.0k 2.3× 147 0.6× 232 1.4× 194 1.7× 13 1.9k
Aliaksandr Khaminets Germany 7 1.2k 2.2× 631 1.4× 203 0.8× 67 0.4× 140 1.2× 7 1.7k
Daniel L. Tuttle United States 13 395 0.7× 799 1.8× 278 1.1× 103 0.6× 50 0.4× 14 1.5k
Meng Lin China 20 131 0.2× 596 1.3× 407 1.6× 81 0.5× 62 0.5× 33 1.1k
Päivi Ylä‐Anttila Sweden 10 805 1.5× 421 0.9× 114 0.5× 52 0.3× 103 0.9× 11 1.1k
Andrea Gubaš Germany 10 790 1.5× 453 1.0× 62 0.2× 56 0.3× 132 1.1× 14 1.1k
Christopher D. Conrady United States 18 449 0.9× 217 0.5× 421 1.7× 57 0.4× 79 0.7× 60 1.2k
Manish Sharma United States 14 191 0.4× 447 1.0× 134 0.5× 50 0.3× 47 0.4× 32 856

Countries citing papers authored by Magali Chemali

Since Specialization
Citations

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

Fields of papers citing papers by Magali Chemali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magali Chemali

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

All Works

9 of 9 papers shown
1.
Matheoud, Diana, Ayumu Sugiura, Angélique Bellemare‐Pelletier, et al.. (2016). Parkinson’s Disease-Related Proteins PINK1 and Parkin Repress Mitochondrial Antigen Presentation. Cell. 166(2). 314–327. 431 indexed citations breakdown →
2.
Bell, Christina, Luc English, Jonathan Boulais, et al.. (2013). Quantitative Proteomics Reveals the Induction of Mitophagy in Tumor Necrosis Factor-α-activated (TNFα) Macrophages. Molecular & Cellular Proteomics. 12(9). 2394–2407. 35 indexed citations
3.
Campbell‐Valois, François‐Xavier, Matthias Trost, Magali Chemali, et al.. (2012). Quantitative Proteomics Reveals That Only a Subset of the Endoplasmic Reticulum Contributes to the Phagosome. Molecular & Cellular Proteomics. 11(7). M111.016378–1. 65 indexed citations
4.
Chemali, Magali, et al.. (2012). Human invariant chain isoform p35 restores thymic selection and antigen presentation in CD74‐deficient mice. Immunology and Cell Biology. 90(9). 896–902. 8 indexed citations
5.
Chemali, Magali, Kerstin Radtke, Michel Desjardins, & Luc English. (2011). Alternative pathways for MHC class I presentation: a new function for autophagy. Cellular and Molecular Life Sciences. 68(9). 1533–1541. 57 indexed citations
6.
English, Luc, Magali Chemali, & Michel Desjardins. (2009). Contribution de l’autophagie dans l’apprêtement d’antigènes viraux endogènes. médecine/sciences. 25(11). 906–909. 3 indexed citations
7.
English, Luc, Magali Chemali, Christiane Rondeau, et al.. (2009). Autophagy enhances the presentation of endogenous viral antigens on MHC class I molecules during HSV-1 infection. Nature Immunology. 10(5). 480–487. 356 indexed citations
8.
English, Luc, Magali Chemali, & Michel Desjardins. (2009). Nuclear membrane-derived autophagy, a novel process that participates in the presentation of endogenous viral antigens during HSV-1 infection. Autophagy. 5(7). 1026–1029. 32 indexed citations
9.
Chemali, Magali, Agnès Chapel, Sylvie Kieffer‐Jaquinod, et al.. (2007). Biochemical characterization and lysosomal localization of the mannose-6-phosphate protein p76 (hypothetical protein LOC196463). Biochemical Journal. 402(3). 449–458. 18 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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