F.A.A. van Acker

973 citations
13 papers · 832 · h-index 11

Impact in

    • Phytochemicals and Antioxidant Activities
    • Antioxidant Activity and Oxidative Stress
    • Pharmacogenetics and Drug Metabolism

Papers in

F.A.A. van Acker

13 papers receiving 784 citations

Peers

F.A.A. van Acker
Comparison fields: 5 of 106
  • Biochemistry 177
  • Pharmacology 165
  • Toxicology 21
  • Complementary and alternative medicine 47
  • Computational Theory and Mathematics 87
Replace G. Ubeaud with:
G. Ubeaud France
Narumi Sugihara Japan
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Citations per field
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Citations per year

Countries citing papers authored by F.A.A. van Acker

Since Specialization
Citations

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

Fields of papers citing papers by F.A.A. van Acker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.A.A. van Acker. 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 F.A.A. van Acker. The network helps show where F.A.A. van Acker may publish in the future.

Co-authors

The 25 scholars most cited alongside F.A.A. van Acker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F.A.A. van Acker Line = papers co-authored together F.A.A. van Acker links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2001284
2 2000224
3 200470
4 200062
5 199655
6 199752
7 201625
8 199718
9 199615
10 200714
11 200710
12
In vitro screening of antitumour agents for cardiotoxicity by means of isolated mouse left atria.
20012
13
Using telemetry to study the effect of protectors on doxorubicin-induced cardiotoxicity in freely moving mice.
19991

About F.A.A. van Acker

F.A.A. van Acker is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Molecular Biology, Oncology and Pharmacology, having authored 13 papers that have together received 832 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Free Radicals and Antioxidants (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Phytochemicals and Antioxidant Activities (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Biochemistry (177 citations), Pharmacology (165 citations), Toxicology (21 citations), Complementary and alternative medicine (47 citations) and Computational Theory and Mathematics (87 citations). F.A.A. van Acker has collaborated with scholars based in Netherlands, Germany and China. Frequent co-authors include Aalt Bast, W. J. F. van der Vijgh, Guido R.M.M. Haenen, Chantal G.M Heijnen, Marcel J. de Groot, Nico Vermeulen, H. F. P. Joosten, G. Jean Horbach, E.I. Krajnc and Diels J. van den Dobbelsteen. Their work appears in journals such as Chemical Research in Toxicology, Toxicology in Vitro, Journal of Medicinal Chemistry, FEBS Letters and Xenobiotica.

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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