Sonja Beken

486 total citations
24 papers, 266 citations indexed

About

Sonja Beken is a scholar working on Molecular Biology, Hepatology and Small Animals. According to data from OpenAlex, Sonja Beken has authored 24 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Hepatology and 6 papers in Small Animals. Recurrent topics in Sonja Beken's work include Liver physiology and pathology (8 papers), Animal testing and alternatives (6 papers) and Glutathione Transferases and Polymorphisms (5 papers). Sonja Beken is often cited by papers focused on Liver physiology and pathology (8 papers), Animal testing and alternatives (6 papers) and Glutathione Transferases and Polymorphisms (5 papers). Sonja Beken collaborates with scholars based in Belgium, Germany and Netherlands. Sonja Beken's co-authors include Vera Rogiers, Karen De Smet, Marleen Pauwels, Frank Roels, Marianne Depreter, A. Vercruysse, Antoine Vercruysse, Peter Kasper, Tom Tytgat and Tamara Vanhaecke and has published in prestigious journals such as Nature Reviews Drug Discovery, Annals of the New York Academy of Sciences and Journal of Hepatology.

In The Last Decade

Sonja Beken

23 papers receiving 260 citations

Peers

Sonja Beken
Comparison fields: 5 of 62
  • Molecular Biology 120
  • Hepatology 61
  • Biomedical Engineering 50
  • Small Animals 42
  • Pharmacology 40
Replace Wenxia Qin with:
Wenxia Qin China
Amanda Moore United States
Mengting Yang China
Matthias Festag Switzerland
Paul Deslex France
Sophie Malcomber United Kingdom
Adela Ramírez‐Torres United States
Hans‐Joachim Lipps Germany
Ting Cai China
Akio Sugiyama Japan
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Citations per field, relative to Sonja Beken
Sonja Beken · 1×
Citations per year, relative to Sonja Beken
Sonja Beken · 1×

Countries citing papers authored by Sonja Beken

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Beken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Beken

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Beken. A scholar is included among the top collaborators of Sonja Beken 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 Sonja Beken. Sonja Beken 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
# Work Indexed citations
1 3
2 5
3 1
4 5
5 23
6 10
7 3
8 8
9 24
10 0
11 15
12 23
13 24
14 16
15 14
16 10
17
Effect of the extracellular matrix composition on the expression of glutathione S-transferase isoenzymes in organotypical hepatocyte cultures
1
18 25
19 16
20 13

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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