Mathieu Lavallée‐Adam

2.5k total citations
47 papers, 1.6k citations indexed

About

Mathieu Lavallée‐Adam is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Mathieu Lavallée‐Adam has authored 47 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 11 papers in Spectroscopy and 9 papers in Cell Biology. Recurrent topics in Mathieu Lavallée‐Adam's work include Advanced Proteomics Techniques and Applications (11 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Bioinformatics and Genomic Networks (8 papers). Mathieu Lavallée‐Adam is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Bioinformatics and Genomic Networks (8 papers). Mathieu Lavallée‐Adam collaborates with scholars based in Canada, United States and Switzerland. Mathieu Lavallée‐Adam's co-authors include John R. Yates, Mathieu Blanchette, Benoit Coulombe, Philippe Cloutier, Denis Faubert, Salvador Martínez‐Bartolomé, Diego Calzolari, William E. Balch, Casimir Bamberger and Sandra Pankow and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Mathieu Lavallée‐Adam

46 papers receiving 1.6k citations

Peers

Mathieu Lavallée‐Adam
Débora Bonenfant Switzerland
Mathieu Lavallée‐Adam
Citations per year, relative to Mathieu Lavallée‐Adam Mathieu Lavallée‐Adam (= 1×) peers Débora Bonenfant

Countries citing papers authored by Mathieu Lavallée‐Adam

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Lavallée‐Adam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathieu Lavallée‐Adam. 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 Mathieu Lavallée‐Adam. The network helps show where Mathieu Lavallée‐Adam may publish in the future.

Co-authorship network of co-authors of Mathieu Lavallée‐Adam

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Lavallée‐Adam. A scholar is included among the top collaborators of Mathieu Lavallée‐Adam 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 Mathieu Lavallée‐Adam. Mathieu Lavallée‐Adam 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.
Denoncourt, Alix, A. D. Simms, Adam D. Rudner, et al.. (2025). Identification of polyphosphate-binding proteins in Escherichia coli uncovers targets involved in translation control and ribosome biogenesis. mBio. 16(8). e0050025–e0050025. 1 indexed citations
2.
Surendra, Anuradha, et al.. (2022). METAbolomics data Balancing with Over-sampling Algorithms (META-BOA): an online resource for addressing class imbalance. Bioinformatics. 38(23). 5326–5327. 8 indexed citations
3.
Figeys, Daniel, et al.. (2022). Novel Bioinformatics Strategies Driving Dynamic Metaproteomic Studies. Methods in molecular biology. 2456. 319–338. 1 indexed citations
4.
Vasam, Goutham, et al.. (2021). Proteomics characterization of mitochondrial‐derived vesicles under oxidative stress. The FASEB Journal. 35(4). e21278–e21278. 54 indexed citations
5.
Lavallée‐Adam, Mathieu, et al.. (2021). PIGNON: a protein–protein interaction-guided functional enrichment analysis for quantitative proteomics. BMC Bioinformatics. 22(1). 302–302. 5 indexed citations
6.
Ning, Zhibin, Xu Zhang, Leyuan Li, et al.. (2020). pepFunk: a tool for peptide-centric functional analysis of metaproteomic human gut microbiome studies. Bioinformatics. 36(14). 4171–4179. 11 indexed citations
7.
Bondy‐Chorney, Emma, Alix Denoncourt, Liam McCarthy, et al.. (2020). A Broad Response to Intracellular Long-Chain Polyphosphate in Human Cells. Cell Reports. 33(4). 108318–108318. 40 indexed citations
8.
McClatchy, Daniel B., Salvador Martínez‐Bartolomé, Yu Gao, Mathieu Lavallée‐Adam, & John R. Yates. (2020). Quantitative analysis of global protein stability rates in tissues. Scientific Reports. 10(1). 15983–15983. 14 indexed citations
9.
Li, Leyuan, James W. Ryan, Zhibin Ning, et al.. (2020). A functional ecological network based on metaproteomics responses of individual gut microbiomes to resistant starches. Computational and Structural Biotechnology Journal. 18. 3833–3842. 18 indexed citations
10.
Kim, Ji‐Eun, Jeffrey N. Savas, Meghan T. Miller, et al.. (2019). Proteomic analyses reveal misregulation of LIN28 expression and delayed timing of glial differentiation in human iPS cells with MECP2 loss-of-function. PLoS ONE. 14(2). e0212553–e0212553. 25 indexed citations
11.
Tremblay, Véronique, Emma Bondy‐Chorney, Geneviève Paris, et al.. (2018). A complex of C9ORF72 and p62 uses arginine methylation to eliminate stress granules by autophagy. Nature Communications. 9(1). 2794–2794. 134 indexed citations
12.
Berger, Markus, Lucélia Santi, Mathieu Lavallée‐Adam, et al.. (2017). High infestation levels of Schizotetranychus oryzae severely affects rice metabolism. Journal of Plant Physiology. 219. 100–111. 10 indexed citations
13.
Subramanian, Kanagaraj, Navin Rauniyar, Mathieu Lavallée‐Adam, John R. Yates, & William E. Balch. (2017). Quantitative Analysis of the Proteome Response to the Histone Deacetylase Inhibitor (HDACi) Vorinostat in Niemann-Pick Type C1 disease. Molecular & Cellular Proteomics. 16(11). 1938–1957. 23 indexed citations
14.
Savas, Jeffrey N., Yizhi Wang, Laura A. DeNardo, et al.. (2017). Amyloid Accumulation Drives Proteome-wide Alterations in Mouse Models of Alzheimer’s Disease-like Pathology. Cell Reports. 21(9). 2614–2627. 49 indexed citations
15.
Savas, Jeffrey N., Luís F. Ribeiro, Keimpe Wierda, et al.. (2015). The Sorting Receptor SorCS1 Regulates Trafficking of Neurexin and AMPA Receptors. Neuron. 87(4). 764–780. 60 indexed citations
16.
Forget, Diane, et al.. (2013). Nuclear import of RNA polymerase II is coupled with nucleocytoplasmic shuttling of the RNA polymerase II-associated protein 2. Nucleic Acids Research. 41(14). 6881–6891. 43 indexed citations
17.
Cloutier, Philippe, Mathieu Lavallée‐Adam, Denis Faubert, Mathieu Blanchette, & Benoit Coulombe. (2013). A Newly Uncovered Group of Distantly Related Lysine Methyltransferases Preferentially Interact with Molecular Chaperones to Regulate Their Activity. PLoS Genetics. 9(1). e1003210–e1003210. 127 indexed citations
18.
Forget, Diane, Philippe Cloutier, Annie Bouchard, et al.. (2010). The Protein Interaction Network of the Human Transcription Machinery Reveals a Role for the Conserved GTPase RPAP4/GPN1 and Microtubule Assembly in Nuclear Import and Biogenesis of RNA Polymerase II. Molecular & Cellular Proteomics. 9(12). 2827–2839. 79 indexed citations
19.
Lavallée‐Adam, Mathieu, Benoit Coulombe, & Mathieu Blanchette. (2010). Detection of Locally Over-Represented GO Terms in Protein-Protein Interaction Networks. Journal of Computational Biology. 17(3). 443–457. 11 indexed citations
20.
Cloutier, Philippe, Mathieu Lavallée‐Adam, Denis Faubert, et al.. (2009). High-resolution mapping of the protein interaction network for the human transcription machinery and affinity purification of RNA polymerase II-associated complexes. Methods. 48(4). 381–386. 70 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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