Marja Driessen

1.4k total citations
10 papers, 350 citations indexed

About

Marja Driessen is a scholar working on Molecular Biology, Pharmacology and Hepatology. According to data from OpenAlex, Marja Driessen has authored 10 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pharmacology and 2 papers in Hepatology. Recurrent topics in Marja Driessen's work include Pharmacogenetics and Drug Metabolism (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers) and Gut microbiota and health (3 papers). Marja Driessen is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers) and Gut microbiota and health (3 papers). Marja Driessen collaborates with scholars based in Netherlands, Germany and Australia. Marja Driessen's co-authors include Jeroen L. A. Pennings, Anne S. Kienhuis, Leo T.M. van der Ven, Bob van de Water, Peer Bork, Shinichi Sunagawa, Anita Y. Voigt, Georg Zeller, Sofia K. Forslund and Alexa P. Vitins and has published in prestigious journals such as Cell, Bioinformatics and Toxicology and Applied Pharmacology.

In The Last Decade

Marja Driessen

10 papers receiving 349 citations

Peers

Marja Driessen

MB

CB

PHYSI

PHARM

HTM

Lieve Lammens Belgium

Óscar Flores-Herrera Mexico

Peihong Yuan China

Jie Luan China

Xiaohang Ma China

Arianna I. Celis United States

Xiaoqing Jiang China

Céline Lukowicz France

Kamlesh K. Bhopale United States

Karl A. Brander Switzerland

Lieve Lammens Belgium

Marja Driessen

111 ×0.5

MB

38 ×0.6

CB

35 ×0.8

PHYSI

47 ×1.1

PHARM

51 ×1.4

HTM

Citations per year, relative to Marja Driessen Marja Driessen (= 1×) peers Lieve Lammens

Countries citing papers authored by Marja Driessen

Since Specialization

Citations

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

Fields of papers citing papers by Marja Driessen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marja Driessen

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

García‐Santamarina, Sarela, Michael Kuhn, Saravanan Devendran, et al.. (2024). Emergence of community behaviors in the gut microbiota upon drug treatment. Cell. 187(22). 6346–6357.e20. 18 indexed citations

2.

Driessen, Marja, Anne S. Kienhuis, Evert‐Jan van den Brandhof, et al.. (2022). Identification of proteome markers for drug-induced liver injury in zebrafish embryos. Toxicology. 477. 153262–153262. 5 indexed citations

3.

Kushugulova, Аlmagul, Sofia K. Forslund, Paul Igor Costea, et al.. (2018). Metagenomic analysis of gut microbial communities from a Central Asian population. BMJ Open. 8(7). e021682–e021682. 27 indexed citations

4.

Zeller, Georg, et al.. (2016). CART—a chemical annotation retrieval toolkit. Bioinformatics. 32(18). 2869–2871. 7 indexed citations

5.

Kultima, Jens Roat, Luís Pedro Coelho, Sofia K. Forslund, et al.. (2016). MOCAT2: a metagenomic assembly, annotation and profiling framework. Bioinformatics. 32(16). 2520–2523. 116 indexed citations

6.

Driessen, Marja, Alexa P. Vitins, Jeroen L. A. Pennings, et al.. (2014). A transcriptomics-based hepatotoxicity comparison between the zebrafish embryo and established human and rodent in vitro and in vivo models using cyclosporine A, amiodarone and acetaminophen. Toxicology Letters. 232(2). 403–412. 55 indexed citations

7.

Driessen, Marja, Anne S. Kienhuis, Alexa P. Vitins, et al.. (2014). Gene expression markers in the zebrafish embryo reflect a hepatotoxic response in animal models and humans. Toxicology Letters. 230(1). 48–56. 23 indexed citations

8.

Driessen, Marja. (2014). Evaluation of the zebrafish embryo as an alternative model for hepatotoxicity testing. Data Archiving and Networked Services (DANS). 1 indexed citations

9.

Driessen, Marja, Anne S. Kienhuis, Jeroen L. A. Pennings, et al.. (2013). Exploring the zebrafish embryo as an alternative model for the evaluation of liver toxicity by histopathology and expression profiling. Archives of Toxicology. 87(5). 807–823. 66 indexed citations

10.

Kienhuis, Anne S., Jos Bessems, Jeroen L. A. Pennings, et al.. (2010). Application of toxicogenomics in hepatic systems toxicology for risk assessment: Acetaminophen as a case study. Toxicology and Applied Pharmacology. 250(2). 96–107. 32 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.

Explore authors with similar magnitude of impact