Wim Floren

664 total citations
7 papers, 317 citations indexed

About

Wim Floren is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Wim Floren has authored 7 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Wim Floren's work include Histone Deacetylase Inhibitors Research (4 papers), Protein Degradation and Inhibitors (3 papers) and Antioxidant Activity and Oxidative Stress (1 paper). Wim Floren is often cited by papers focused on Histone Deacetylase Inhibitors Research (4 papers), Protein Degradation and Inhibitors (3 papers) and Antioxidant Activity and Oxidative Stress (1 paper). Wim Floren collaborates with scholars based in Belgium, Germany and United States. Wim Floren's co-authors include Michel Janicot, Suzie H. Pun, Marcus E. Brewster, Nathalie C. Bellocq, Annette Bakker, Jianjun Cheng, Gregory S. Jensen, Brendan H. Grubbs, Mark E. Davis and Jacky Van Dun and has published in prestigious journals such as Cancer Research, British Journal of Cancer and European Journal of Pharmacology.

In The Last Decade

Wim Floren

7 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wim Floren Belgium 4 231 61 60 55 42 7 317
Michael Günther Germany 10 210 0.9× 42 0.7× 32 0.5× 35 0.6× 69 1.6× 18 305
Haruya Sato Japan 7 205 0.9× 43 0.7× 56 0.9× 55 1.0× 26 0.6× 8 330
Yunping Lu China 10 266 1.2× 107 1.8× 19 0.3× 20 0.4× 30 0.7× 22 406
Scott L. Lauren United States 6 264 1.1× 56 0.9× 32 0.5× 38 0.7× 58 1.4× 11 402
Megan L. Choy United States 7 536 2.3× 204 3.3× 57 0.9× 25 0.5× 20 0.5× 7 623
Virna Borowski United States 7 199 0.9× 101 1.7× 53 0.9× 89 1.6× 15 0.4× 7 335
Erhan Keleş Switzerland 7 232 1.0× 33 0.5× 77 1.3× 52 0.9× 35 0.8× 10 359
Wonjung Kwak South Korea 10 195 0.8× 63 1.0× 22 0.4× 72 1.3× 16 0.4× 11 407
Sebastian Köhling Germany 12 226 1.0× 23 0.4× 91 1.5× 40 0.7× 29 0.7× 16 396
Pascaline Lécorché France 10 214 0.9× 41 0.7× 33 0.6× 55 1.0× 11 0.3× 13 309

Countries citing papers authored by Wim Floren

Since Specialization
Citations

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

Fields of papers citing papers by Wim Floren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wim Floren

This figure shows the co-authorship network connecting the top 25 collaborators of Wim Floren. A scholar is included among the top collaborators of Wim Floren 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 Wim Floren. Wim Floren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Kreir, Mohamed, Wim Floren, An De Bondt, et al.. (2022). Is the forming of neuronal network activity in human-induced pluripotent stem cells important for the detection of drug-induced seizure risks?. European Journal of Pharmacology. 931. 175189–175189. 1 indexed citations
2.
Hickson, Ian, Peter King, Lut Janssen, et al.. (2010). Abstract 5441: Preclinical assessment of the HDAC inhibitor JNJ-26481585: potent in vivo activity across a broad spectrum of human tumor xenografts. Cancer Research. 70(8_Supplement). 5441–5441. 1 indexed citations
3.
Arts, Janine, Patrick Angibaud, Wim Floren, et al.. (2007). R306465 is a novel potent inhibitor of class I histone deacetylases with broad-spectrum antitumoral activity against solid and haematological malignancies. British Journal of Cancer. 97(10). 1344–1353. 77 indexed citations
4.
Arts, Janine, Peter King, Wim Floren, et al.. (2007). JNJ-26481585, a novel “second-generation” oral pan-histone deacetylase (HDAC) inhibitor, shows broad-spectrum preclinical antitumoral activity against solid and hematological malignancies. FreiDok plus (Universitätsbibliothek Freiburg). 6. 2 indexed citations
5.
Schepper, Stefanie De, Wim Floren, Peter King, et al.. (2006). Real-time gene expression analysis in human xenografts for evaluation of histone deacetylase inhibitors. Molecular Cancer Therapeutics. 5(9). 2317–2323. 5 indexed citations
6.
Pun, Suzie H., Nathalie C. Bellocq, Jianjun Cheng, et al.. (2004). Targeted delivery of RNA-cleaving DNA enzyme (DNAzyme) to tumor tissue by transferrin-modified, cyclodextrin-based particles. Cancer Biology & Therapy. 3(7). 641–650. 156 indexed citations
7.
Ginckel, R. Van, Bieneke Janssen, Wim Floren, et al.. (2002). Inhibition of all-TRANS-retinoic acid metabolism by R116010 induces antitumour activity. British Journal of Cancer. 86(4). 605–611. 75 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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