Mathieu Blanchette

11.6k total citations · 1 hit paper
125 papers, 6.4k citations indexed

About

Mathieu Blanchette is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Mathieu Blanchette has authored 125 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Molecular Biology, 34 papers in Plant Science and 31 papers in Genetics. Recurrent topics in Mathieu Blanchette's work include Genomics and Phylogenetic Studies (59 papers), Genomics and Chromatin Dynamics (37 papers) and RNA and protein synthesis mechanisms (34 papers). Mathieu Blanchette is often cited by papers focused on Genomics and Phylogenetic Studies (59 papers), Genomics and Chromatin Dynamics (37 papers) and RNA and protein synthesis mechanisms (34 papers). Mathieu Blanchette collaborates with scholars based in Canada, United States and France. Mathieu Blanchette's co-authors include David Haussler, Webb Miller, Benoit Coulombe, Martin Tompa, Eric D. Green, W. James Kent, David Sankoff, Arian F. A. Smit, Krishna M. Roskin and Laura Elnitski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Mathieu Blanchette

123 papers receiving 6.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Aligning Multiple Genomic Sequences With the Threaded Blockset Aligner

2004 1.0k citations Mathieu Blanchette et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mathieu Blanchette	5.3k	1.7k	1.3k	496	335	125	6.4k
Mark Diekhans	4.9k 0.9×	1.5k 0.9×	1.4k 1.0×	891 1.8×	243 0.7×	52	6.7k
Emily M LeProust	6.1k 1.2×	1.5k 0.9×	659 0.5×	762 1.5×	332 1.0×	39	7.7k
Saeed Tavazoie	7.7k 1.5×	1.5k 0.9×	704 0.5×	1.1k 2.2×	448 1.3×	71	9.3k
Sridhar Hannenhalli	4.7k 0.9×	1.8k 1.1×	834 0.6×	512 1.0×	586 1.7×	148	6.4k
Jason Ernst	7.2k 1.3×	1.6k 0.9×	966 0.7×	926 1.9×	453 1.4×	65	8.6k
Arend Sidow	6.5k 1.2×	2.4k 1.4×	1.2k 0.9×	894 1.8×	440 1.3×	62	8.6k
Susan J. Brown	5.4k 1.0×	1.7k 1.0×	1.3k 1.0×	193 0.4×	436 1.3×	201	7.8k
Brad Chapman	6.8k 1.3×	1.8k 1.0×	2.6k 2.0×	1.0k 2.1×	470 1.4×	47	9.6k
Anthony R. Kerlavage	4.7k 0.9×	1.2k 0.7×	996 0.8×	301 0.6×	387 1.2×	55	6.3k
Heinz Himmelbauer	3.5k 0.7×	1.3k 0.8×	1.4k 1.1×	637 1.3×	397 1.2×	129	5.7k

Countries citing papers authored by Mathieu Blanchette

Since Specialization

Citations

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

Fields of papers citing papers by Mathieu Blanchette

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Blanchette

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lécuyer, Éric, et al.. (2024). PERFUMES: pipeline to extract RNA functional motifs and exposed structures. Bioinformatics. 40(2).

Baek, Changhyun, et al.. (2024). Graphylo: A deep learning approach for predicting regulatory DNA and RNA sites from whole-genome multiple alignments. iScience. 27(2). 109002–109002. 1 indexed citations

Knight, Rob, et al.. (2023). Playing the System: Can Puzzle Players Teach us How to Solve Hard Problems?. 1–15. 3 indexed citations

Knight, Rob, et al.. (2023). Player-Guided AI outperforms standard AI in Sequence Alignment Puzzles. 53–62.

Zhang, Yanlin & Mathieu Blanchette. (2023). Reference panel-guided super-resolution inference of Hi-C data. Bioinformatics. 39(Supplement_1). i386–i393. 1 indexed citations

Zhang, Yanlin & Mathieu Blanchette. (2022). Reference panel guided topological structure annotation of Hi-C data. Nature Communications. 13(1). 7426–7426. 12 indexed citations

Campitelli, Laura F., et al.. (2022). Reconstruction of full-length LINE-1 progenitors from ancestral genomes. Genetics. 221(3). 4 indexed citations

Precup, Doina, et al.. (2022). PhyloPGM: boosting regulatory function prediction accuracy using evolutionary information. Bioinformatics. 38(Supplement_1). i299–i306. 1 indexed citations

Blanchette, Mathieu, et al.. (2022). Leishmania parasites exchange drug-resistance genes through extracellular vesicles. Cell Reports. 40(3). 111121–111121. 60 indexed citations

10.

Blanchette, Mathieu, et al.. (2020). EvoLSTM: context-dependent models of sequence evolution using a sequence-to-sequence LSTM. Bioinformatics. 36(Supplement_1). i353–i361. 4 indexed citations

11.

Hamilton, William L., et al.. (2020). Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions. Bioinformatics. 36(Supplement_1). i276–i284. 32 indexed citations

12.

Cameron, Christopher J. F., Josée Dostie, & Mathieu Blanchette. (2020). HIFI: estimating DNA-DNA interaction frequency from Hi-C data at restriction-fragment resolution. Genome biology. 21(1). 11–11. 20 indexed citations

13.

Hamelin, Richard C., et al.. (2020). Supervised learning on phylogenetically distributed data. Bioinformatics. 36(Supplement_2). i895–i902. 4 indexed citations

14.

Hamelin, Richard C., et al.. (2019). Mycorrhiza: genotype assignment using phylogenetic networks. Bioinformatics. 36(1). 212–220. 4 indexed citations

15.

Bouvrette, Louis Philip Benoit, et al.. (2019). oRNAment: a database of putative RNA binding protein target sites in the transcriptomes of model species. Nucleic Acids Research. 48(D1). D166–D173. 62 indexed citations

16.

Bhatnagar, Sahir, Yi Yang, Budhachandra Khundrakpam, et al.. (2018). An analytic approach for interpretable predictive models in high‐dimensional data in the presence of interactions with exposures. Genetic Epidemiology. 42(3). 233–249. 5 indexed citations

17.

Roche, Philip J. R., Christopher J. F. Cameron, Denis Paquette, et al.. (2018). Double-Stranded Biotinylated Donor Enhances Homology-Directed Repair in Combination with Cas9 Monoavidin in Mammalian Cells. The CRISPR Journal. 1(6). 414–430. 14 indexed citations

18.

Hickey, Glenn & Mathieu Blanchette. (2011). A Probabilistic Model for Sequence Alignment with Context-Sensitive Indels. Journal of Computational Biology. 18(11). 1449–1464. 7 indexed citations

19.

Sankoff, David & Mathieu Blanchette. (1999). Probability models for genome rearrangement and linear invariants for phylogenetic inference. 302–309. 17 indexed citations

20.

Sankoff, David & Mathieu Blanchette. (1997). The Median Problem for Breakpoints in Comparative Genomics. 4 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.

Explore authors with similar magnitude of impact