Catherine Mathé

1.9k total citations
25 papers, 1.3k citations indexed

About

Catherine Mathé is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Catherine Mathé has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Plant Science and 3 papers in Cell Biology. Recurrent topics in Catherine Mathé's work include Genomics and Phylogenetic Studies (11 papers), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (5 papers). Catherine Mathé is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (5 papers). Catherine Mathé collaborates with scholars based in France, Belgium and Brazil. Catherine Mathé's co-authors include Christophe Dunand, Nizar Fawal, Bruno Savelli, Jean‐Philippe Girard, Vincent Ecochard, Pierre Rouzé, Stéphane Rombauts, Qiang Li, François Amalric and Thomas Clouaire and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Blood.

In The Last Decade

Catherine Mathé

24 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine Mathé France 17 793 634 108 105 75 25 1.3k
Haiying Li China 20 762 1.0× 860 1.4× 273 2.5× 59 0.6× 24 0.3× 67 1.5k
Xiaodong Ding China 28 1.1k 1.4× 1.5k 2.4× 95 0.9× 77 0.7× 27 0.4× 80 2.2k
Sohini Chakrabortee United Kingdom 14 940 1.2× 573 0.9× 126 1.2× 79 0.8× 56 0.7× 14 1.4k
Olli‐Pekka Smolander Finland 18 536 0.7× 274 0.4× 65 0.6× 65 0.6× 45 0.6× 37 924
Michael D. R. Croning United Kingdom 8 777 1.0× 176 0.3× 70 0.6× 93 0.9× 154 2.1× 8 1.2k
Zhu 15 376 0.5× 427 0.7× 67 0.6× 110 1.0× 40 0.5× 221 958
Xiaojuan Deng China 25 619 0.8× 321 0.5× 65 0.6× 106 1.0× 264 3.5× 64 1.5k
Patricia V. Burke United States 18 1.2k 1.5× 278 0.4× 202 1.9× 107 1.0× 31 0.4× 26 1.5k
Michèle Crèvecœur Switzerland 23 1.3k 1.7× 1.4k 2.1× 69 0.6× 25 0.2× 117 1.6× 62 2.0k
Cuimin Liu China 15 1.1k 1.4× 673 1.1× 49 0.5× 119 1.1× 51 0.7× 29 1.4k

Countries citing papers authored by Catherine Mathé

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Mathé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Mathé

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Mathé. A scholar is included among the top collaborators of Catherine Mathé 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 Catherine Mathé. Catherine Mathé 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.
Callot, Caroline, et al.. (2024). Evolutionary Analysis of Six Gene Families Part of the Reactive Oxygen Species (ROS) Gene Network in Three Brassicaceae Species. International Journal of Molecular Sciences. 25(3). 1938–1938.
2.
Määttänen, Anni, Catherine Mathé, Constantino Listowski, et al.. (2022). Troposphere-to-mesosphere microphysics of carbon dioxide ice clouds in a Mars Global Climate Model. Icarus. 385. 115098–115098. 14 indexed citations
3.
Mathé, Catherine & Christophe Dunand. (2021). Automatic Prediction and Annotation: There Are Strong Biases for Multigenic Families. Frontiers in Genetics. 12. 697477–697477. 3 indexed citations
4.
Savelli, Bruno, Qiang Li, Mark Webber, et al.. (2019). RedoxiBase: A database for ROS homeostasis regulated proteins. Redox Biology. 26. 101247–101247. 63 indexed citations
5.
Mathé, Catherine, Nizar Fawal, Christophe Roux, & Christophe Dunand. (2019). In silico definition of new ligninolytic peroxidase sub-classes in fungi and putative relation to fungal life style. Scientific Reports. 9(1). 20373–20373. 11 indexed citations
6.
Li, Qiang, Hong Yu, Nizar Fawal, et al.. (2015). Explosive Tandem and Segmental Duplications of Multigenic Families in Eucalyptus grandis. Genome Biology and Evolution. 7(4). 1068–1081. 38 indexed citations
7.
Fawal, Nizar, Qiang Li, Catherine Mathé, & Christophe Dunand. (2014). Automatic multigenic family annotation: risks and solutions. Trends in Genetics. 30(8). 323–325. 20 indexed citations
8.
Fawal, Nizar, Qiang Li, Bruno Savelli, et al.. (2012). PeroxiBase: a database for large-scale evolutionary analysis of peroxidases. Nucleic Acids Research. 41(D1). D441–D444. 135 indexed citations
9.
Dunand, Christophe, Catherine Mathé, Fernanda Lazzarotto, Rogério Margis, & Márcia Margis‐Pinheiro. (2011). Ascorbate peroxidase-related (APx-R) is not a duplicable gene. Plant Signaling & Behavior. 6(12). 1908–1913. 14 indexed citations
10.
Mathé, Catherine, Annick Barre, Cyril Jourda, & Christophe Dunand. (2010). Evolution and expression of class III peroxidases. Archives of Biochemistry and Biophysics. 500(1). 58–65. 77 indexed citations
11.
Djébali, Naceur, Alain Jauneau, Carine Ameline-Torregrosa, et al.. (2009). Partial Resistance ofMedicago truncatulatoAphanomyces euteichesIs Associated with Protection of the Root Stele and Is Controlled by a Major QTL Rich in Proteasome-Related Genes. Molecular Plant-Microbe Interactions. 22(9). 1043–1055. 71 indexed citations
12.
Gaulin, Elodie, Mohammed‐Amin Madoui, Arnaud Bottin, et al.. (2008). Transcriptome of Aphanomyces euteiches: New Oomycete Putative Pathogenicity Factors and Metabolic Pathways. PLoS ONE. 3(3). e1723–e1723. 76 indexed citations
13.
Madoui, Mohammed‐Amin, Elodie Gaulin, Catherine Mathé, et al.. (2007). AphanoDB: a genomic resource for Aphanomyces pathogens. BMC Genomics. 8(1). 471–471. 25 indexed citations
14.
Clouaire, Thomas, Myriam Roussigné, Vincent Ecochard, et al.. (2005). The THAP domain of THAP1 is a large C2CH module with zinc-dependent sequence-specific DNA-binding activity. Proceedings of the National Academy of Sciences. 102(19). 6907–6912. 118 indexed citations
15.
Lescot, Magali, Stéphane Rombauts, Jianguo Zhang, et al.. (2004). Annotation of a 95-kb Populus deltoides genomic sequence reveals a disease resistance gene cluster and novel class I and class II transposable elements. Theoretical and Applied Genetics. 109(1). 10–22. 32 indexed citations
16.
Mathé, Catherine. (2002). Current methods of gene prediction, their strengths and weaknesses. Nucleic Acids Research. 30(19). 4103–4117. 297 indexed citations
17.
Mathé, Catherine, Patrice Déhais, Nathalie Pavy, et al.. (2000). Gene prediction and gene classes in Arabidopsis thaliana. Journal of Biotechnology. 78(3). 293–299. 7 indexed citations
18.
Rodolphe, F. & Catherine Mathé. (2000). Translation Conditional Models for Protein Coding Sequences. Journal of Computational Biology. 7(1-2). 249–260. 3 indexed citations
19.
Pavy, Nathalie, Stéphane Rombauts, Patrice Déhais, et al.. (1999). Evaluation of gene prediction software using a genomic data set: application to Arabidopsis thalianasequences. Bioinformatics. 15(11). 887–899. 75 indexed citations
20.
Mathé, Catherine, Anatoly Peresetsky, Patrice Déhais, Marc Van Montagu, & Pierre Rouzé. (1999). Classification of Arabidopsis thaliana gene sequences: clustering of coding sequences into two groups according to codon usage improves gene prediction 1 1Edited by G. Von Heijne. Journal of Molecular Biology. 285(5). 1977–1991. 25 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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