Jens Staal

3.4k total citations
45 papers, 2.3k citations indexed

About

Jens Staal is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Jens Staal has authored 45 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 17 papers in Cancer Research and 14 papers in Molecular Biology. Recurrent topics in Jens Staal's work include NF-κB Signaling Pathways (17 papers), Immune Response and Inflammation (15 papers) and Plant-Microbe Interactions and Immunity (10 papers). Jens Staal is often cited by papers focused on NF-κB Signaling Pathways (17 papers), Immune Response and Inflammation (15 papers) and Plant-Microbe Interactions and Immunity (10 papers). Jens Staal collaborates with scholars based in Belgium, Sweden and Netherlands. Jens Staal's co-authors include Rudi Beyaert, Christina Dixelius, Elisabeth Vercammen, Annelies Demeyer, Yasmine Driege, Mira Haegman, Mathijs Baens, Svante Bohman, Karen Heyninck and Lijun Sun and has published in prestigious journals such as The Journal of Experimental Medicine, The EMBO Journal and Nature Immunology.

In The Last Decade

Jens Staal

44 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens Staal Belgium 22 864 844 727 691 288 45 2.3k
Mira Haegman Belgium 18 664 0.8× 798 0.9× 294 0.4× 367 0.5× 139 0.5× 23 1.5k
Soh Yamazaki Japan 22 1.2k 1.4× 748 0.9× 97 0.1× 842 1.2× 373 1.3× 40 2.2k
Yoshihiro Ueda Japan 26 1.3k 1.5× 1.1k 1.3× 424 0.6× 129 0.2× 436 1.5× 82 2.9k
Paul Anderson United States 17 653 0.8× 658 0.8× 236 0.3× 137 0.2× 147 0.5× 20 1.5k
Xiaofeng Wang China 26 150 0.2× 985 1.2× 810 1.1× 333 0.5× 202 0.7× 91 2.2k
Ana Urzainqui Spain 22 545 0.6× 898 1.1× 527 0.7× 76 0.1× 199 0.7× 40 1.8k
Jože Brzin Slovenia 27 186 0.2× 1.3k 1.5× 605 0.8× 503 0.7× 239 0.8× 59 2.4k
Jeremiah Hagler United States 11 832 1.0× 1.2k 1.4× 158 0.2× 1.0k 1.5× 379 1.3× 11 2.1k
Vijay K. Gonugunta United States 16 848 1.0× 1.4k 1.6× 1.1k 1.5× 170 0.2× 179 0.6× 16 2.5k
Satoshi Yamagoe Japan 27 471 0.5× 1.2k 1.4× 377 0.5× 152 0.2× 387 1.3× 64 2.4k

Countries citing papers authored by Jens Staal

Since Specialization
Citations

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

Fields of papers citing papers by Jens Staal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Staal

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Staal. A scholar is included among the top collaborators of Jens Staal 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 Jens Staal. Jens Staal 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.
Zhang, Guoyi, Boyu Zhang, Yujin Hu, et al.. (2025). BioArchLinux: community-driven fresh reproducible software repository for life sciences. Bioinformatics. 41(3). 1 indexed citations
3.
Staal, Jens, Mira Haegman, Yasmine Driege, et al.. (2022). CARD14 Signalling Ensures Cell Survival and Cancer Associated Gene Expression in Prostate Cancer Cells. Biomedicines. 10(8). 2008–2008. 5 indexed citations
4.
Driege, Yasmine, Keylla U. Bicalho, Geert Goeminne, et al.. (2022). Engineering a highly sensitive biosensor for abscisic acid in mammalian cells. FEBS Letters. 596(19). 2576–2590. 4 indexed citations
5.
Driege, Yasmine, Mira Haegman, Marja Kreike, et al.. (2022). Normal lymphocyte homeostasis and function in MALT1 protease‐resistant HOIL‐1 knock‐in mice. FEBS Journal. 290(8). 2032–2048. 3 indexed citations
6.
Demeyer, Annelies, Yasmine Driege, Julie Coudenys, et al.. (2020). Long-Term MALT1 Inhibition in Adult Mice Without Severe Systemic Autoimmunity. iScience. 23(10). 101557–101557. 15 indexed citations
7.
Staal, Jens, Mira Haegman, Yasmine Driege, et al.. (2020). MALT 1 targeting suppresses CARD 14‐induced psoriatic dermatitis in mice. EMBO Reports. 21(7). e49237–e49237. 19 indexed citations
8.
Staal, Jens, Yasmine Driege, Mira Haegman, et al.. (2020). Defining the combinatorial space of PKC::CARD‐CC signal transduction nodes. FEBS Journal. 288(5). 1630–1647. 18 indexed citations
9.
Verstrepen, Lynn, Marja Kreike, Jens Staal, et al.. (2018). Mepazine Inhibits RANK-Induced Osteoclastogenesis Independent of Its MALT1 Inhibitory Function. Molecules. 23(12). 3144–3144. 13 indexed citations
10.
Lork, Marie, Jens Staal, & Rudi Beyaert. (2018). Ubiquitination and phosphorylation of the CARD11-BCL10-MALT1 signalosome in T cells. Cellular Immunology. 340. 103877–103877. 31 indexed citations
11.
Staal, Jens & Rudi Beyaert. (2018). Inflammation and NF-κB Signaling in Prostate Cancer: Mechanisms and Clinical Implications. Cells. 7(9). 122–122. 77 indexed citations
12.
Pollier, Jacob, et al.. (2017). Abscisic Acid as Pathogen Effector and Immune Regulator. Frontiers in Plant Science. 8. 587–587. 155 indexed citations
13.
Drennan, Michael, Srinath Govindarajan, Eveline Verheugen, et al.. (2016). NKT sublineage specification and survival requires the ubiquitin-modifying enzyme TNFAIP3/A20. The Journal of Experimental Medicine. 213(10). 1973–1981. 30 indexed citations
14.
Afonina, Inna S., et al.. (2016). The paracaspase MALT 1 mediates CARD 14‐induced signaling in keratinocytes. EMBO Reports. 17(6). 914–927. 61 indexed citations
15.
Demeyer, Annelies, Jens Staal, & Rudi Beyaert. (2016). Targeting MALT1 Proteolytic Activity in Immunity, Inflammation and Disease: Good or Bad?. Trends in Molecular Medicine. 22(2). 135–150. 52 indexed citations
16.
Staal, Jens, et al.. (2010). Regulation of NF-κB signaling by caspases and MALT1 paracaspase. Cell Research. 21(1). 40–54. 66 indexed citations
17.
Persson, Mattias, Jens Staal, Shinichi Oide, & Christina Dixelius. (2009). Layers of defense responses toLeptosphaeria maculansbelow theRLM1‐ and camalexin‐dependent resistances. New Phytologist. 182(2). 470–482. 18 indexed citations
18.
Vercammen, Elisabeth, Jens Staal, Mira Haegman, et al.. (2008). Prolonged exposure to IL-1β and IFNγ induces necrosis of L929 tumor cells via a p38MAPK/NF-κB/NO-dependent mechanism. Oncogene. 27(27). 3780–3788. 19 indexed citations
19.
Staal, Jens, et al.. (2008). RLM3, a TIR domain encoding gene involved in broad‐range immunity of Arabidopsis to necrotrophic fungal pathogens. The Plant Journal. 55(2). 188–200. 78 indexed citations
20.
Bohman, Svante, Jens Staal, Bart P. H. J. Thomma, Maolin Wang, & Christina Dixelius. (2003). Characterisation of an ArabidopsisLeptosphaeria maculans pathosystem: resistance partially requires camalexin biosynthesis and is independent of salicylic acid, ethylene and jasmonic acid signalling. The Plant Journal. 37(1). 9–20. 88 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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