Véronique Kruys

5.5k total citations · 1 hit paper
64 papers, 4.1k citations indexed

About

Véronique Kruys is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Véronique Kruys has authored 64 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 15 papers in Immunology and 6 papers in Oncology. Recurrent topics in Véronique Kruys's work include RNA Research and Splicing (24 papers), RNA and protein synthesis mechanisms (19 papers) and RNA modifications and cancer (14 papers). Véronique Kruys is often cited by papers focused on RNA Research and Splicing (24 papers), RNA and protein synthesis mechanisms (19 papers) and RNA modifications and cancer (14 papers). Véronique Kruys collaborates with scholars based in Belgium, France and United States. Véronique Kruys's co-authors include Cyril Gueydan, Georges Huez, G. Huez, Bruce Beutler, Laure Twyffels, Junyan Han, Brett P. Giroir, Olivier Marinx, Jacqueline Deschamps and Gray D. Shaw and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Véronique Kruys

62 papers receiving 4.1k citations

Hit Papers

Tumor Necrosis Factor: The molecules and Their Emerging R... 1992 2026 2003 2014 1992 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Véronique Kruys Belgium 34 2.5k 1.2k 553 501 347 64 4.1k
Cyril Gueydan Belgium 22 2.1k 0.8× 660 0.6× 317 0.6× 349 0.7× 261 0.8× 36 3.0k
Annabel F. Valledor Spain 35 1.9k 0.8× 1.5k 1.2× 723 1.3× 539 1.1× 402 1.2× 51 3.8k
Dietrich B. Conze United States 21 1.6k 0.6× 1.5k 1.3× 726 1.3× 965 1.9× 384 1.1× 29 3.2k
Deborah Stroka Switzerland 38 2.2k 0.9× 823 0.7× 563 1.0× 1.2k 2.4× 734 2.1× 105 4.7k
Hakju Kwon Canada 20 1.3k 0.5× 1.5k 1.2× 636 1.2× 692 1.4× 488 1.4× 25 3.6k
William J. Quinn United States 27 1.1k 0.4× 1.6k 1.3× 625 1.1× 464 0.9× 431 1.2× 47 3.5k
Saleh Ibrahim Germany 41 2.7k 1.1× 1.6k 1.4× 783 1.4× 755 1.5× 417 1.2× 202 5.9k
Sean Bong Lee United States 36 2.8k 1.1× 540 0.5× 564 1.0× 449 0.9× 294 0.8× 83 4.1k
Weijun Luo United States 16 2.7k 1.1× 702 0.6× 465 0.8× 755 1.5× 354 1.0× 35 4.5k
Giovanni Quarato United States 27 2.6k 1.0× 1.3k 1.1× 306 0.6× 383 0.8× 838 2.4× 38 3.7k

Countries citing papers authored by Véronique Kruys

Since Specialization
Citations

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

Fields of papers citing papers by Véronique Kruys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Véronique Kruys

This figure shows the co-authorship network connecting the top 25 collaborators of Véronique Kruys. A scholar is included among the top collaborators of Véronique Kruys 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 Véronique Kruys. Véronique Kruys 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.
Nuyens, Vincent, Adelin Albert, Laurence Seidel, et al.. (2023). Involvement of KCa3.1 channel activity in immediate perioperative cognitive and neuroinflammatory outcomes. BMC Anesthesiology. 23(1). 80–80. 1 indexed citations
2.
Verdonk, Franck, et al.. (2023). High Mobility Group Box 1 (HMGB1): Potential Target in Sepsis-Associated Encephalopathy. Cells. 12(7). 1088–1088. 18 indexed citations
3.
Roovers, Martine, Geoffray Labar, Philippe Wolff, et al.. (2022). The Bacillus subtilis open reading frame ysgA encodes the SPOUT methyltransferase RlmP forming 2′-O-methylguanosine at position 2553 in the A-loop of 23S rRNA. RNA. 28(9). 1185–1196. 7 indexed citations
6.
Kharraz, Yacine, Anne Lefort, Frédérick Libert, et al.. (2016). Genome-wide analysis of TIAR RNA ligands in mouse macrophages before and after LPS stimulation. Genomics Data. 7. 297–300. 6 indexed citations
7.
Twyffels, Laure, Cyril Gueydan, & Véronique Kruys. (2014). Transportin‐1 and Transportin‐2: Protein nuclear import and beyond. FEBS Letters. 588(10). 1857–1868. 85 indexed citations
8.
Twyffels, Laure, Corinne Wauquier, Romuald Soin, et al.. (2013). A Masked PY-NLS in Drosophila TIS11 and Its Mammalian Homolog Tristetraprolin. PLoS ONE. 8(8). e71686–e71686. 21 indexed citations
9.
Vindry, Caroline, David Hutin, Romuald Soin, et al.. (2012). dTIS11 Protein-dependent Polysomal Deadenylation Is the Key Step in AU-rich Element-mediated mRNA Decay in Drosophila Cells. Journal of Biological Chemistry. 287(42). 35527–35538. 17 indexed citations
10.
Legros, Sébastien, Mathieu Boxus, Jean‐Stéphane Gatot, et al.. (2011). The HTLV-1 Tax protein inhibits formation of stress granules by interacting with histone deacetylase 6. Oncogene. 30(38). 4050–4062. 42 indexed citations
11.
Gool, Frédéric Van, Mara Gallí, Cyril Gueydan, et al.. (2009). Intracellular NAD levels regulate tumor necrosis factor protein synthesis in a sirtuin-dependent manner. Nature Medicine. 15(2). 206–210. 225 indexed citations
12.
Leeuw, Frédéric De, Tong Zhang, Corinne Wauquier, et al.. (2007). The cold-inducible RNA-binding protein migrates from the nucleus to cytoplasmic stress granules by a methylation-dependent mechanism and acts as a translational repressor. Experimental Cell Research. 313(20). 4130–4144. 201 indexed citations
13.
Huez, Georges, et al.. (2003). Deadenylation of interferon‐β mRNA is mediated by both the AU‐rich element in the 3′‐untranslated region and an instability sequence in the coding region. European Journal of Biochemistry. 270(7). 1590–1597. 41 indexed citations
15.
Mijatovic, Tatjana, et al.. (2000). Tumor necrosis factor‐α mRNA remains unstable and hypoadenylated upon stimulation of macrophages by lipopolysaccharides. European Journal of Biochemistry. 267(19). 6004–6012. 39 indexed citations
16.
Gueydan, Cyril, Louis Droogmans, Pascale Chalon, et al.. (1999). Identification of TIAR as a Protein Binding to the Translational Regulatory AU-rich Element of Tumor Necrosis Factor α mRNA. Journal of Biological Chemistry. 274(4). 2322–2326. 222 indexed citations
17.
Lewis, Tom, Cyril Gueydan, Georges Huez, Jean‐Jacques Toulmé, & Véronique Kruys. (1998). Mapping of a Minimal AU-rich Sequence Required for Lipopolysaccharide-induced Binding of a 55-kDa Protein on Tumor Necrosis Factor-α mRNA. Journal of Biological Chemistry. 273(22). 13781–13786. 38 indexed citations
18.
Mijatovic, Tatjana, et al.. (1997). Interleukin-4 and -13 Inhibit Tumor Necrosis Factor-α mRNA Translational Activation in Lipopolysaccharide-induced Mouse Macrophages. Journal of Biological Chemistry. 272(22). 14394–14398. 98 indexed citations
19.
Marchant, Arnaud, Cyril Gueydan, Laurent Houzet, et al.. (1996). Defective translation of tumor necrosis factor mRNA in lipopolysaccharide-tolerant macrophages.. PubMed. 46(2). 114–23. 22 indexed citations
20.
Bazzoni, Flavia, Véronique Kruys, Aleksander M. Shakhov, C. Victor Jongeneel, & Bruce Beutler. (1994). Analysis of tumor necrosis factor promoter responses to ultraviolet light.. Journal of Clinical Investigation. 93(1). 56–62. 42 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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