Wim Floren

18 total papers · 661 total citations
7 papers, 318 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 318 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 Signaling Pathways in Disease (1 paper). Wim Floren is often cited by papers focused on Histone Deacetylase Inhibitors Research (4 papers), Protein Degradation and Inhibitors (3 papers) and Signaling Pathways in Disease (1 paper). Wim Floren collaborates with scholars based in United States, Belgium and Germany. Wim Floren's co-authors include Michel Janicot, Marcus E. Brewster, Brendan H. Grubbs, Jianjun Cheng, Suzie H. Pun, Mark E. Davis, Nathalie C. Bellocq, Gregory S. Jensen, Annette Bakker 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 305 citations

Author Peers

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

Author Last Decade Papers Cites
Wim Floren 231 61 60 56 42 7 318
Joerg Czech 218 0.9× 78 1.3× 65 1.1× 26 0.5× 14 0.3× 6 324
Haruya Sato 205 0.9× 43 0.7× 56 0.9× 55 1.0× 26 0.6× 8 330
Apurva Chaturvedi 265 1.1× 89 1.5× 31 0.5× 21 0.4× 24 0.6× 10 335
Sishir K. Kamalapuram 191 0.8× 67 1.1× 42 0.7× 41 0.7× 15 0.4× 10 330
Erhan Keleş 232 1.0× 31 0.5× 77 1.3× 52 0.9× 35 0.8× 10 357
Virna Borowski 199 0.9× 101 1.7× 53 0.9× 89 1.6× 15 0.4× 7 335
Aymeric Morlé 250 1.1× 60 1.0× 17 0.3× 25 0.4× 9 0.2× 8 343
Nada S. Aboelella 125 0.5× 69 1.1× 18 0.3× 17 0.3× 16 0.4× 6 278
Sonia Leclerc 149 0.6× 42 0.7× 47 0.8× 42 0.8× 13 0.3× 8 273
Pascaline Lécorché 214 0.9× 41 0.7× 33 0.6× 55 1.0× 11 0.3× 13 307

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

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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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