Janick Mathys

2.3k total citations · 1 hit paper
20 papers, 1.7k citations indexed

About

Janick Mathys is a scholar working on Molecular Biology, Plant Science and Microbiology. According to data from OpenAlex, Janick Mathys has authored 20 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Plant Science and 3 papers in Microbiology. Recurrent topics in Janick Mathys's work include Plant-Microbe Interactions and Immunity (6 papers), Bioinformatics and Genomic Networks (6 papers) and Gene expression and cancer classification (6 papers). Janick Mathys is often cited by papers focused on Plant-Microbe Interactions and Immunity (6 papers), Bioinformatics and Genomic Networks (6 papers) and Gene expression and cancer classification (6 papers). Janick Mathys collaborates with scholars based in Belgium, United States and Austria. Janick Mathys's co-authors include Bruno P.A. Cammue, Barbara De Coninck, Miguel F. C. De Bolle, Bart De Moor, Yves Moreau, Kathleen Marchal, Kaat De Cremer, Gert Thijs, Frank De Smet and Patrick Glenisson and has published in prestigious journals such as Bioinformatics, PLANT PHYSIOLOGY and Oncogene.

In The Last Decade

Janick Mathys

20 papers receiving 1.6k citations

Hit Papers

Plant pathogenesis-related (PR) proteins: A focus on PR p... 2008 2026 2014 2020 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
Janick Mathys Belgium 16 923 884 209 119 75 20 1.7k
Yan Ma China 25 1.5k 1.6× 928 1.0× 172 0.8× 37 0.3× 183 2.4× 69 2.5k
Gail Binkley United States 17 372 0.4× 1.7k 1.9× 229 1.1× 33 0.3× 69 0.9× 23 2.3k
Emmanuel Boutet Switzerland 8 527 0.6× 1.1k 1.2× 79 0.4× 34 0.3× 44 0.6× 11 1.7k
Andrea Pierleoni Italy 13 262 0.3× 977 1.1× 118 0.6× 98 0.8× 32 0.4× 22 1.5k
Michele Magrane United Kingdom 14 192 0.2× 1.7k 1.9× 110 0.5× 32 0.3× 52 0.7× 21 2.2k
Ann E. Loraine United States 27 1.6k 1.7× 2.3k 2.5× 84 0.4× 73 0.6× 24 0.3× 55 3.1k
A. A. Schaffer United States 8 466 0.5× 1.3k 1.4× 62 0.3× 33 0.3× 25 0.3× 15 1.8k
Frédéric Devaux France 30 379 0.4× 2.8k 3.1× 180 0.9× 19 0.2× 35 0.5× 55 3.3k
Dianjing Guo Hong Kong 25 1.3k 1.5× 1.8k 2.0× 116 0.6× 37 0.3× 258 3.4× 63 2.6k
Birgitte Regenberg Denmark 30 556 0.6× 2.6k 3.0× 165 0.8× 41 0.3× 67 0.9× 65 3.3k

Countries citing papers authored by Janick Mathys

Since Specialization
Citations

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

Fields of papers citing papers by Janick Mathys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janick Mathys

This figure shows the co-authorship network connecting the top 25 collaborators of Janick Mathys. A scholar is included among the top collaborators of Janick Mathys 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 Janick Mathys. Janick Mathys 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.
Neukermans, Jenny, Janick Mathys, Barbara De Coninck, et al.. (2015). ARACINs, Brassicaceae-Specific Peptides Exhibiting Antifungal Activities against Necrotrophic Pathogens in Arabidopsis  . PLANT PHYSIOLOGY. 167(3). 1017–1029. 19 indexed citations
2.
Coninck, Barbara De, Patrizia Tavormina, Lander Willem, et al.. (2013). Mining the genome of Arabidopsis thaliana as a basis for the identification of novel bioactive peptides involved in oxidative stress tolerance. Journal of Experimental Botany. 64(17). 5297–5307. 51 indexed citations
3.
Cremer, Kaat De, Janick Mathys, Christine Vos, et al.. (2013). RNAseq‐based transcriptome analysis of Lactuca sativa infected by the fungal necrotroph Botrytis cinerea. Plant Cell & Environment. 36(11). 1992–2007. 112 indexed citations
4.
Mathys, Janick, Kaat De Cremer, Pieter Timmermans, et al.. (2012). Genome-Wide Characterization of ISR Induced in Arabidopsis thaliana by Trichoderma hamatum T382 Against Botrytis cinerea Infection. Frontiers in Plant Science. 3. 108–108. 146 indexed citations
5.
Coninck, Barbara De, Stijn L. Delauré, Stuart J. Lucas, et al.. (2011). The use of digital image analysis and real‐time PCR fine‐tunes bioassays for quantification of Cercospora leaf spot disease in sugar beet breeding. Plant Pathology. 61(1). 76–84. 34 indexed citations
6.
Coninck, Barbara De, Wannes Thys, Inge J.W.M. Goderis, et al.. (2010). Arabidopsis thaliana plant defensin AtPDF1.1 is involved in the plant response to biotic stress. New Phytologist. 187(4). 1075–1088. 52 indexed citations
7.
Aerts, An, Piotr Zabrocki, Gilmer Govaert, et al.. (2008). Mitochondrial dysfunction leads to reduced chronological lifespan and increased apoptosis in yeast. FEBS Letters. 583(1). 113–117. 65 indexed citations
8.
Mathys, Janick, et al.. (2008). Plant pathogenesis-related (PR) proteins: A focus on PR peptides. Plant Physiology and Biochemistry. 46(11). 941–950. 615 indexed citations breakdown →
9.
Roosen, Johnny, Kristof Engelen, Kathleen Marchal, et al.. (2004). PKA and Sch9 control a molecular switch important for the proper adaptation to nutrient availability. Molecular Microbiology. 55(3). 862–880. 144 indexed citations
10.
Glenisson, Patrick, Bert Coessens, Steven Van Vooren, et al.. (2004). TXTGate: profiling gene groups with text-based information. Genome biology. 5(6). R43–R43. 48 indexed citations
11.
Marchal, Kathleen, et al.. (2004). Annotation of the pRhico plasmid ofAzospirillum brasilensereveals its role in determining the outer surface composition. FEMS Microbiology Letters. 232(2). 165–172. 33 indexed citations
12.
Voz, Marianne L., Janick Mathys, Karen Hensen, et al.. (2004). Microarray screening for target genes of the proto-oncogene PLAG1. Oncogene. 23(1). 179–191. 101 indexed citations
13.
Moor, Bart De, Kathleen Marchal, Janick Mathys, & Yves Moreau. (2003). Bioinformatics: Organisms from Venus, Technology from Jupiter, Algorithms from Mars. European Journal of Control. 9(2-3). 237–278. 6 indexed citations
14.
Glenisson, Patrick, Janick Mathys, & Bart De Moor. (2003). Meta-clustering of gene expression data and literature-based information. ACM SIGKDD Explorations Newsletter. 5(2). 101–112. 24 indexed citations
15.
Thijs, Gert, Yves Moreau, Frank De Smet, et al.. (2002). INCLUSive: INtegrated Clustering, Upstream sequence retrieval and motif Sampling. Bioinformatics. 18(2). 331–332. 64 indexed citations
16.
Smet, Frank De, Janick Mathys, Kathleen Marchal, et al.. (2002). Adaptive quality-based clustering of gene expression profiles. Bioinformatics. 18(5). 735–746. 128 indexed citations
17.
Glenisson, Patrick, Péter Antal, Janick Mathys, Yves Moreau, & Bart De Moor. (2002). EVALUATION OF THE VECTOR SPACE REPRESENTATION IN TEXT-BASED GENE CLUSTERING. PubMed. 391–402. 38 indexed citations
18.
Moreau, Yves, Gert Thijs, Kathleen Marchal, et al.. (2002). Integrating quality-based clustering of microarray data with Gibbs sampling for the discovery of regulatory motifs. Ghent University Academic Bibliography (Ghent University). 75–79. 1 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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