Marja Driessen
Impact in
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
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- Zebrafish Biomedical Research Applications
Papers in
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- Gut microbiota and health 2
- Genomics and Phylogenetic Studies 1
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- Pharmacogenetics and Drug Metabolism 4
- Drug-Induced Hepatotoxicity and Protection 3
- Co-authors
- Anne S. Kienhuis (5 shared papers)Leo T.M. van der Ven (5 shared papers)Jeroen L. A. Pennings (5 shared papers)Bob van de Water (4 shared papers)Peer Bork (4 shared papers)Shinichi Sunagawa (2 shared papers)Anita Y. Voigt (2 shared papers)Georg Zeller (2 shared papers)
- Journals
- Bioinformatics (2 papers)Toxicology Letters (2 papers)Toxicology and Applied Pharmacology (1 paper)Toxicology (1 paper)Cell (1 paper)
- Partner nations
- NetherlandsGermanySwitzerland
In The Last Decade
Marja Driessen
10 papers receiving 361 citations
Peers
Comparison fields: 5 of 80
- Pharmacology 39
- Cell Biology 62
- Molecular Biology 217
- Health, Toxicology and Mutagenesis 36
- Small Animals 18
Countries citing papers authored by Marja Driessen
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
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-authors
The 25 scholars most cited alongside Marja Driessen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 118 | |
| 2 | 2013 | 66 | |
| 3 | 2014 | 58 | |
| 4 | 2010 | 32 | |
| 5 | 2018 | 28 | |
| 6 | 2014 | 23 | |
| 7 | 2024 | 23 | |
| 8 | 2016 | 7 | |
| 9 | 2022 | 6 | |
| 10 | Evaluation of the zebrafish embryo as an alternative model for hepatotoxicity testing | 2014 | 1 |
About Marja Driessen
Marja Driessen is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Hepatology and Infectious Diseases, having authored 10 papers that have together received 362 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Computational Drug Discovery Methods (2 papers), Liver physiology and pathology (2 papers), Gut microbiota and health (2 papers), Genomics and Phylogenetic Studies (1 paper), Zebrafish Biomedical Research Applications (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Pharmacology (39 citations), Cell Biology (62 citations), Molecular Biology (217 citations), Health, Toxicology and Mutagenesis (36 citations) and Small Animals (18 citations). Marja Driessen has collaborated with scholars based in Netherlands, Germany and Switzerland. Frequent co-authors include Anne S. Kienhuis, Leo T.M. van der Ven, Jeroen L. A. Pennings, Bob van de Water, Peer Bork, Shinichi Sunagawa, Anita Y. Voigt, Georg Zeller, Jaime Huerta‐Cepas and Simone S. Li. Their work appears in journals such as Bioinformatics, Toxicology Letters, Toxicology and Applied Pharmacology, Toxicology and Cell.
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.