Mathijs Baens

4.7k total citations · 1 hit paper
51 papers, 3.7k citations indexed

About

Mathijs Baens is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Mathijs Baens has authored 51 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 18 papers in Immunology and 15 papers in Cancer Research. Recurrent topics in Mathijs Baens's work include Lymphoma Diagnosis and Treatment (14 papers), NF-κB Signaling Pathways (13 papers) and Ubiquitin and proteasome pathways (10 papers). Mathijs Baens is often cited by papers focused on Lymphoma Diagnosis and Treatment (14 papers), NF-κB Signaling Pathways (13 papers) and Ubiquitin and proteasome pathways (10 papers). Mathijs Baens collaborates with scholars based in Belgium, United States and France. Mathijs Baens's co-authors include Peter Marynen, Iwona Włodarska, Herman Van den Berghe, Pieter J. Peeters, Judith Dierlamm, Christiane De Wolf‐Peeters, Anne Hagemeijer, Josiane Grosgeorge, Dieter K. Hossfeld and Heidi Noels and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Mathijs Baens

51 papers receiving 3.6k citations

Hit Papers

The Apoptosis Inhibitor G... 1999 2026 2008 2017 1999 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Mathijs Baens 1.5k 1.2k 998 959 842 51 3.7k
Shinobu Tsuzuki 1.7k 1.1× 560 0.5× 974 1.0× 656 0.7× 615 0.7× 86 3.1k
Sami N. Malek 1.6k 1.1× 946 0.8× 552 0.6× 901 0.9× 945 1.1× 77 3.3k
Norihiko Kawamata 2.2k 1.5× 467 0.4× 588 0.6× 1.4k 1.4× 745 0.9× 96 4.0k
François Sigaux 1.8k 1.2× 1.1k 0.9× 382 0.4× 954 1.0× 470 0.6× 76 3.8k
Wayne Tam 3.0k 2.0× 982 0.8× 2.4k 2.4× 1.3k 1.4× 1.3k 1.5× 104 5.4k
Daniel Mertens 2.1k 1.4× 930 0.8× 698 0.7× 711 0.7× 996 1.2× 93 3.8k
Jérôme Moreaux 2.9k 1.9× 1.1k 1.0× 690 0.7× 1.5k 1.5× 486 0.6× 170 4.9k
Mary L. Bath 2.0k 1.4× 1.3k 1.1× 339 0.3× 1.2k 1.2× 468 0.6× 30 3.5k
Rossana Trotta 1.7k 1.1× 1.7k 1.4× 537 0.5× 809 0.8× 272 0.3× 58 3.9k
John Powell 1.4k 0.9× 915 0.8× 403 0.4× 887 0.9× 876 1.0× 22 2.9k

Countries citing papers authored by Mathijs Baens

Since Specialization
Citations

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

Fields of papers citing papers by Mathijs Baens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathijs Baens

This figure shows the co-authorship network connecting the top 25 collaborators of Mathijs Baens. A scholar is included among the top collaborators of Mathijs Baens 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 Mathijs Baens. Mathijs Baens 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.
Cheng, Jing, Linda R. Klei, Ming Zhang, et al.. (2020). GRK2 suppresses lymphomagenesis by inhibiting the MALT1 proto-oncoprotein. Journal of Clinical Investigation. 130(2). 1036–1051. 15 indexed citations
2.
Rosebeck, Shaun, Aasia Rehman, Ingrid J. Apel, et al.. (2013). The API2–MALT1 fusion exploits TNFR pathway-associated RIP1 ubiquitination to promote oncogenic NF-κB signaling. Oncogene. 33(19). 2520–2530. 25 indexed citations
3.
Baens, Mathijs, Lucienne Michaux, Thomas Tousseyn, et al.. (2012). Recurrent breakpoints in 14q32.13/TCL1Aregion in mature B-cell neoplasms with villous lymphocytes. Leukemia & lymphoma. 53(12). 2449–2455. 2 indexed citations
4.
Syed, Nelofer, Paul J. Smith, Beverly E. Griffin, et al.. (2010). DUSP16 is an epigenetically regulated determinant of JNK signalling in Burkitt's lymphoma. British Journal of Cancer. 103(2). 265–274. 25 indexed citations
5.
Noels, Heidi, Hongxiang Liu, Hongtao Ye, et al.. (2009). Auto-Ubiquitination-Induced Degradation of MALT1-API2 Prevents BCL10 Destabilization in t(11;18)(q21;q21)-Positive MALT Lymphoma. PLoS ONE. 4(3). e4822–e4822. 6 indexed citations
6.
Sagaert, Xavier, C. De Wolf‐Peeters, Heidi Noels, & Mathijs Baens. (2007). The pathogenesis of MALT lymphomas: where do we stand?. Leukemia. 21(3). 389–396. 70 indexed citations
7.
Noels, Heidi, et al.. (2007). A Novel TRAF6 Binding Site in MALT1 Defines Distinct Mechanisms of NF-κB Activation by API2·MALT1 Fusions. Journal of Biological Chemistry. 282(14). 10180–10189. 79 indexed citations
8.
Baens, Mathijs, Sabine Fevery, Xavier Sagaert, et al.. (2006). Selective Expansion of Marginal Zone B Cells in Eμ-API2-MALT1 Mice Is Linked to Enhanced IκB Kinase γ Polyubiquitination. Cancer Research. 66(10). 5270–5277. 57 indexed citations
9.
Baens, Mathijs, Heidi Noels, Sabine Fevery, et al.. (2006). The Dark Side of EGFP: Defective Polyubiquitination. PLoS ONE. 1(1). e54–e54. 117 indexed citations
10.
11.
Hetet, Gilles, Hélène Dastot, Mathijs Baens, et al.. (2000). Recurrent molecular deletion of the 12p13 region, centromeric to ETV6/TEL, in T-cell prolymphocytic leukemia. The Hematology Journal. 1(1). 42–47. 17 indexed citations
12.
Baens, Mathijs, Anja Steyls, Judith Dierlamm, Chris De Wolf‐Peeters, & Peter Marynen. (2000). Structure of theMLT gene and molecular characterization of the genomic breakpoint junctions in the t(11;18)(q21;q21) of marginal zone B-cell lymphomas of MALT type. Genes Chromosomes and Cancer. 29(4). 281–291. 37 indexed citations
14.
Marynen, Peter, et al.. (1998). CREBL2,a Novel Transcript from the Chromosome 12 Region Flanked byETV6andCDKN1B. Genomics. 51(1). 154–157. 13 indexed citations
15.
Baens, Mathijs & Peter Marynen. (1997). A Human Homologue (BICD1) of theDrosophila Bicaudal-DGene. Genomics. 45(3). 601–606. 28 indexed citations
16.
Baens, Mathijs, Pieter J. Peeters, Chunxue Guo, Jeroen Aerssens, & Peter Marynen. (1996). Genomic organization of TEL: the human ETS-variant gene 6.. Genome Research. 6(5). 404–413. 100 indexed citations
18.
Baens, Mathijs, Max Chaffanet, Jeroen Aerssens, Jean‐Jacques Cassiman, & Peter Marynen. (1994). Assignment of the Gene for the Human Proliferating Cell Nucleolar Protein P120 (NOL1) to Chromosome 12p13 by Fluorescence in Situ Hybridization and Polymerase Chain Reaction with Somatic Cell Hybrids. Genomics. 21(1). 296–297. 4 indexed citations
19.
Cuppens, Harry, et al.. (1992). Simultaneous screening for 11 mutations in the cystic fibrosis transmembrane conductance regulator gene by multiplex amplification and reverse dot-blot. Molecular and Cellular Probes. 6(1). 33–39. 25 indexed citations
20.
Vandenberghe, Elisabeth, Mathijs Baens, Michel Stul, et al.. (1991). ALTERATION OF N‐RAS MUTATION IN A PATIENT WITH AML M4 AND TRILINEAGE MYELODYSPLASIA. British Journal of Haematology. 79(2). 338–340. 2 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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