Mutagenesis

Papers
(The H4-Index of Mutagenesis is 13. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Inhibition of homologous recombination repair by Mirin in ovarian cancer ameliorates carboplatin therapy response in vitro343
Industrial Genotoxicology Group: 36th Annual Meeting Report36
Correction to: Re: Rather et al. Carcinogenic parasites: Insights into the epidemiology and possible mechanisms of cancer26
The Allium cepa comet assay for environmental sample assessment: a scoping review23
Influence of maternal folate depletion on Art3 DNA methylation in the murine adult brain; potential consequences for brain and neurocognitive health22
Incidental germline findings during comprehensive genomic profiling of pancreatic and colorectal cancer: single-centre, molecular tumour board experience17
Measurement of chromosomal instability and level of DNA damage in peripheral blood mononuclear cells of endometrial cancer patients17
The mitochondrial poison carbonyl cyanide 3-chlorophenyl hydrazone (CCCP) induces aneugenic effects in primary human fibroblasts: a possible link between mitochondrial dysfunction and chromosomal loss16
Influence of pH and lysis duration on DNA damage detection: a comparison of neutral and alkaline comet assays16
Resolution of historically discordant Ames test negative/rodent carcinogenicity positive N-nitrosamines using a sensitive, OECD-aligned design15
Impact of mobile phone-specific electromagnetic fields on DNA damage caused by occupationally relevant exposures: results of ex vivo experiments with peripheral blood mononuclear cells from dif15
Aneuploidy in exfoliated buccal cells: mechanisms, methods, and future perspectives15
Adapting the in vitro micronucleus assay (OECD Test Guideline No. 487) for testing of manufactured nanomaterials: recommendations for best practices13
Optimizing machine-learning models for mutagenicity prediction through better feature selection13
0.029229164123535