Alexandre Blais

5.1k total citations · 2 hit papers
57 papers, 4.0k citations indexed

About

Alexandre Blais is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Alexandre Blais has authored 57 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Surgery. Recurrent topics in Alexandre Blais's work include Muscle Physiology and Disorders (16 papers), Genomics and Chromatin Dynamics (16 papers) and Epigenetics and DNA Methylation (13 papers). Alexandre Blais is often cited by papers focused on Muscle Physiology and Disorders (16 papers), Genomics and Chromatin Dynamics (16 papers) and Epigenetics and DNA Methylation (13 papers). Alexandre Blais collaborates with scholars based in Canada, United States and France. Alexandre Blais's co-authors include Brian David Dynlacht, Yuval Kluger, Diego Acosta‐Alvear, Mary Tsikitis, Raphaël Margueron, Jiří Zavadil, Danny Reinberg, Guohong Li, Christopher L. Woodcock and Kavitha Sarma and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Alexandre Blais

56 papers receiving 3.9k citations

Hit Papers

XBP1 Controls Diverse Cell Type- and Condition-Specific T... 2007 2026 2013 2019 2007 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandre Blais Canada 28 3.1k 736 499 413 387 57 4.0k
Eek‐hoon Jho South Korea 38 4.0k 1.3× 1.1k 1.5× 581 1.2× 678 1.6× 275 0.7× 98 5.4k
Athanassia Sotiropoulos France 26 2.3k 0.7× 700 1.0× 306 0.6× 495 1.2× 161 0.4× 42 3.4k
Emmanuel Petroulakis Canada 24 3.6k 1.2× 746 1.0× 370 0.7× 554 1.3× 468 1.2× 27 4.8k
Seiji Torii Japan 28 2.1k 0.7× 1.2k 1.7× 260 0.5× 321 0.8× 288 0.7× 56 3.4k
Gregory A. Wyant United States 14 2.2k 0.7× 698 0.9× 209 0.4× 411 1.0× 704 1.8× 16 3.5k
Takahiro Nobukuni Japan 17 2.2k 0.7× 551 0.7× 237 0.5× 271 0.7× 381 1.0× 26 3.1k
Yasuaki Shirayoshi Japan 26 2.6k 0.8× 493 0.7× 659 1.3× 259 0.6× 181 0.5× 87 3.6k
Younès Achouri Belgium 26 1.8k 0.6× 317 0.4× 375 0.8× 605 1.5× 350 0.9× 53 3.3k
Gareth J. Browne United Kingdom 21 2.6k 0.8× 470 0.6× 208 0.4× 798 1.9× 258 0.7× 29 3.3k

Countries citing papers authored by Alexandre Blais

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre Blais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandre Blais

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Blais. A scholar is included among the top collaborators of Alexandre Blais 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 Alexandre Blais. Alexandre Blais 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.
Martin, Franck, Élisa Maillard, Karine Lapouge, et al.. (2025). Structure of the nucleosome-bound human BCL7A. Nucleic Acids Research. 53(7).
2.
Alturki, Norah A., Ardeshir Ariana, Matthias Gaestel, et al.. (2024). Regulation of Zfp36 by ISGF3 and MK2 restricts the expression of inflammatory cytokines during necroptosis stimulation. Cell Death and Disease. 15(8). 574–574. 2 indexed citations
3.
Altosaar, Illimar, Éric Tremblay, David Gagné, et al.. (2023). Gestational age at birth influences protein and RNA content in human milk extracellular vesicles. SHILAP Revista de lepidopterología. 3(1). e128–e128. 2 indexed citations
4.
Berton, Stefania, Michèle Geoffrion, Mary‐Ellen Harper, et al.. (2023). ATF2 orchestrates macrophage differentiation and activation to promote antibacterial responses. Journal of Leukocyte Biology. 114(3). 280–298. 7 indexed citations
5.
Blais, Alexandre, et al.. (2021). Muscle Enriched Lamin Interacting Protein (Mlip) Binds Chromatin and Is Required for Myoblast Differentiation. Cells. 10(3). 615–615. 9 indexed citations
6.
Liu, Yubing, et al.. (2021). Six1 promotes skeletal muscle thyroid hormone response through regulation of the MCT10 transporter. Skeletal Muscle. 11(1). 26–26. 5 indexed citations
7.
Joseph, Julie, Walid Mottawea, Ardeshir Ariana, et al.. (2021). Foxo3a tempers excessive glutaminolysis in activated T cells to prevent fatal gut inflammation in the murine IL-10−/− model of colitis. Cell Death and Differentiation. 29(3). 585–599. 8 indexed citations
9.
Joseph, Julie, et al.. (2016). Inhibition of ROS and upregulation of inflammatory cytokines by FoxO3a promotes survival against Salmonella typhimurium. Nature Communications. 7(1). 12748–12748. 51 indexed citations
10.
Voronova, Anastassia, et al.. (2016). BRG1 interacts with GLI2 and binds Mef2c gene in a hedgehog signalling dependent manner during in vitro cardiomyogenesis. BMC Developmental Biology. 16(1). 27–27. 1 indexed citations
11.
Blais, Alexandre. (2015). Myogenesis in the Genomics Era. Journal of Molecular Biology. 427(11). 2023–2038. 9 indexed citations
12.
Julian, Lisa M. & Alexandre Blais. (2015). Transcriptional control of stem cell fate by E2Fs and pocket proteins. Frontiers in Genetics. 6. 161–161. 49 indexed citations
13.
Hashemi, Seyedeh‐Sara, et al.. (2014). Global MEF2 target gene analysis in cardiac and skeletal muscle reveals novel regulation of DUSP6 by p38MAPK-MEF2 signaling. Nucleic Acids Research. 42(18). 11349–11362. 67 indexed citations
14.
Liu, Yubing, Arif Aziz, Alphonse Chu, et al.. (2013). Six1 Regulates MyoD Expression in Adult Muscle Progenitor Cells. PLoS ONE. 8(6). e67762–e67762. 37 indexed citations
15.
Liu, Yubing, et al.. (2012). Discovery, optimization and validation of an optimal DNA-binding sequence for the Six1 homeodomain transcription factor. Nucleic Acids Research. 40(17). 8227–8239. 22 indexed citations
16.
Dilworth, F. Jeffrey & Alexandre Blais. (2011). Epigenetic regulation of satellite cell activation during muscle regeneration. Stem Cell Research & Therapy. 2(2). 18–18. 57 indexed citations
17.
Blais, Alexandre & Brian David Dynlacht. (2007). E2F-associated chromatin modifiers and cell cycle control. Current Opinion in Cell Biology. 19(6). 658–662. 113 indexed citations
18.
Blais, Alexandre & Brian David Dynlacht. (2005). Devising transcriptional regulatory networks operating during the cell cycle and differentiation using ChIP-on-chip. Chromosome Research. 13(3). 275–288. 7 indexed citations
19.
Blais, Alexandre, Mary Tsikitis, Diego Acosta‐Alvear, et al.. (2005). An initial blueprint for myogenic differentiation. Genes & Development. 19(5). 553–569. 362 indexed citations
20.
Cam, Hugh P., Egle Balciunaite, Alexandre Blais, et al.. (2004). A Common Set of Gene Regulatory Networks Links Metabolism and Growth Inhibition. Molecular Cell. 16(3). 399–411. 264 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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