Freddy Van Goethem

1.7k total citations · 1 hit paper
31 papers, 939 citations indexed

About

Freddy Van Goethem is a scholar working on Cancer Research, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Freddy Van Goethem has authored 31 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cancer Research, 10 papers in Molecular Biology and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Freddy Van Goethem's work include Carcinogens and Genotoxicity Assessment (10 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Animal testing and alternatives (5 papers). Freddy Van Goethem is often cited by papers focused on Carcinogens and Genotoxicity Assessment (10 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Animal testing and alternatives (5 papers). Freddy Van Goethem collaborates with scholars based in Belgium, United States and United Kingdom. Freddy Van Goethem's co-authors include Micheline Kirsch‐Volders, Dominique Lison, Philippe Vanparys, Ann De Smedt, Bart De Wever, Nathalie Alépée, Marlies De Boeck, Svetlana L. Avlasevich, Azeddine Elhajouji and Stephen D. Dertinger and has published in prestigious journals such as Nature Reviews Drug Discovery, Frontiers in Microbiology and Pharmaceutical Research.

In The Last Decade

Freddy Van Goethem

28 papers receiving 898 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The evolving role of investigative toxicology in the pharmaceutical industry

2023 132 citations Andreas Czich, Freddy Van Goethem et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Freddy Van Goethem Belgium	17	296	276	203	191	129	31	939
Philippe Vanparys Belgium	22	502 1.7×	471 1.7×	390 1.9×	313 1.6×	192 1.5×	33	1.3k
Stuart Creton United Kingdom	14	144 0.5×	160 0.6×	214 1.1×	180 0.9×	73 0.6×	22	661
Hajime Kojima Japan	17	154 0.5×	180 0.7×	200 1.0×	344 1.8×	164 1.3×	78	966
Gladys Ouédraogo France	14	215 0.7×	150 0.5×	261 1.3×	243 1.3×	179 1.4×	25	781
Klaus Schröder Germany	13	163 0.6×	314 1.1×	115 0.6×	75 0.4×	73 0.6×	21	823
Tzutzuy Ramı́rez Germany	18	86 0.3×	402 1.5×	205 1.0×	338 1.8×	90 0.7×	25	1.4k
Valérie Zuang Italy	17	87 0.3×	144 0.5×	237 1.2×	516 2.7×	150 1.2×	29	1.0k
Julia H. Fentem United Kingdom	22	167 0.6×	226 0.8×	272 1.3×	705 3.7×	191 1.5×	56	1.5k
Silvia Casati Italy	21	106 0.4×	164 0.6×	275 1.4×	543 2.8×	103 0.8×	48	1.3k
Leon F. Stankowski United States	19	512 1.7×	718 2.6×	241 1.2×	65 0.3×	66 0.5×	34	1.3k

Countries citing papers authored by Freddy Van Goethem

Since Specialization

Citations

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

Fields of papers citing papers by Freddy Van Goethem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Freddy Van Goethem. 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 Freddy Van Goethem. The network helps show where Freddy Van Goethem may publish in the future.

Co-authorship network of co-authors of Freddy Van Goethem

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

All Works

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20 of 20 papers shown

Vanhaecke, Tamara, Davie Cappoen, Freddy Van Goethem, et al.. (2025). Advancing Genotoxicity Assessment by Building a Global AOP Network. Environmental and Molecular Mutagenesis. 66(6-7). 341–366.

Nassiri, Vahid, Jan Serroyen, Emmanuel Gustin, et al.. (2025). Optimization of the drug-induced cholestasis index based on advanced modeling for predicting liver toxicity. Toxicology. 514. 154119–154119. 1 indexed citations

Roca-Rivada, Arturo, Alexandra Coomans de Brachène, Xiaoyan Yi, et al.. (2025). The type 1 diabetes candidate genes PTPN2 and BACH2 regulate the IFN-α-induced crosstalk between JAK/STAT and MAPKs pathways in human beta cells. EBioMedicine. 120. 105932–105932.

Goethem, Freddy Van, Emilie Calonne, Rachel Deplus, et al.. (2024). The N6-methyladenosine RNA epigenetic modification modulates the amplification of coxsackievirus B1 in human pancreatic beta cells. Frontiers in Microbiology. 15. 1501061–1501061. 1 indexed citations

Rao, Mohan, Vahid Nassiri, Cristóbal Alhambra, et al.. (2023). AI/ML Models to Predict the Severity of Drug-Induced Liver Injury for Small Molecules. Chemical Research in Toxicology. 36(7). 1129–1139. 18 indexed citations

Willems, Maxime, Els Adriaens, Michelle Plusquin, et al.. (2015). An Adult Stem Cell Proliferation Assay in the Flatworm Model Macrostomum lignano to Predict the Carcinogenicity of Compounds. Document Server@UHasselt (UHasselt). 1(3). 213–219. 2 indexed citations

Eichenbaum, Gary, et al.. (2013). Methods to evaluate and improve the injection site tolerability of intravenous formulations prior to first-in-human testing. Journal of Pharmacological and Toxicological Methods. 68(3). 394–406. 11 indexed citations

Moore, Martha M., Masamitsu Honma, Julie Clements, et al.. (2011). Suitable top concentration for tests with mammalian cells: Mouse lymphoma assay workgroup. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 723(2). 84–86. 13 indexed citations

Verstraelen, Sandra, Erik W. Hansen, Freddy Van Goethem, & Philippe Vanparys. (2011). Development of a new opacitometer for the bovine corneal opacity and permeability (BCOP) assay. Toxicology Letters. 205. S179–S179.

10.

Avlasevich, Svetlana L., Steven M. Bryce, M. De Boeck, et al.. (2010). Flow cytometric analysis of micronuclei in mammalian cell cultures: past, present and future. Mutagenesis. 26(1). 147–152. 46 indexed citations

11.

Dearfield, Kerry L., Véronique Thybaud, Michael C. Cimino, et al.. (2010). Follow‐up actions from positive results of in vitro genetic toxicity testing. Environmental and Molecular Mutagenesis. 52(3). 177–204. 37 indexed citations

12.

Mesens, Natalie, et al.. (2010). Screening for phospholipidosis induced by central nervous drugs: Comparing the predictivity of an in vitro assay to high throughput in silico assays. Toxicology in Vitro. 24(5). 1417–1425. 25 indexed citations

13.

Smedt, Ann De, Margino Steemans, Marlies De Boeck, et al.. (2008). Optimisation of the cell cultivation methods in the embryonic stem cell test results in an increased differentiation potential of the cells into strong beating myocard cells. Toxicology in Vitro. 22(7). 1789–1796. 33 indexed citations

14.

Bryce, Steven M., Svetlana L. Avlasevich, Jeffrey C. Bemis, et al.. (2007). Interlaboratory evaluation of a flow cytometric, high content in vitro micronucleus assay. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 650(2). 181–195. 76 indexed citations

15.

Boeck, Marlies De, Freddy Van Goethem, Ann De Smedt, et al.. (2005). Flow cytometric analysis of micronucleated reticulocytes: Time- and dose-dependent response of known mutagens in mice, using multiple blood sampling. Environmental and Molecular Mutagenesis. 46(1). 30–42. 24 indexed citations

16.

Goethem, Freddy Van, Nathalie Alépée, Frank Straube, et al.. (2005). Prevalidation of a new in vitro reconstituted human cornea model to assess the eye irritating potential of chemicals. Toxicology in Vitro. 20(1). 1–17. 94 indexed citations

17.

Goethem, Freddy Van, Dominique Lison, & Micheline Kirsch‐Volders. (1997). Comparative evaluation of the in vitro micronucleus test and the alkaline single cell gel electrophoresis assay for the detection of DNA damaging agents: genotoxic effects of cobalt powder, tungsten carbide and cobalt–tungsten carbide. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 392(1-2). 31–43. 168 indexed citations

18.

Goethem, Freddy Van, et al.. (1995). Identification of clastogenic and/or aneugenic events during the preneoplastic stages of experimental rat hepatocarcinogenesis by fluorescence in situ hybridization. Carcinogenesis. 16(8). 1825–1834. 26 indexed citations

19.

Goethem, Freddy Van, et al.. (1993). Frequency and DNA content of micronuclei in rat parenchymal liver cells during experimental hepatocarcinogenesis. Carcinogenesis. 14(11). 2397–2406. 16 indexed citations

20.

Goethem, Freddy Van, et al.. (1978). 27. Clinical experience with fetal continuous monitoring by pH electrode. Archives of Gynecology and Obstetrics. 226(1-2). 181–182. 1 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.

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