Metka Filipič

8.7k total citations
126 papers, 5.7k citations indexed

About

Metka Filipič is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, Metka Filipič has authored 126 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cancer Research, 35 papers in Health, Toxicology and Mutagenesis and 33 papers in Molecular Biology. Recurrent topics in Metka Filipič's work include Carcinogens and Genotoxicity Assessment (38 papers), Pharmaceutical and Antibiotic Environmental Impacts (19 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (17 papers). Metka Filipič is often cited by papers focused on Carcinogens and Genotoxicity Assessment (38 papers), Pharmaceutical and Antibiotic Environmental Impacts (19 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (17 papers). Metka Filipič collaborates with scholars based in Slovenia, Serbia and Spain. Metka Filipič's co-authors include Bojana Žegura, Tamara T. Lah, Alja Štraser, Saša Novak, Tom K. Hei, Matej Skočaj, Ester Heath, Bojan Sedmak, Matjaž Novak and Tina Eleršek and has published in prestigious journals such as The Science of The Total Environment, Water Research and Journal of Hazardous Materials.

In The Last Decade

Metka Filipič

126 papers receiving 5.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Metka Filipič Slovenia 43 1.6k 1.2k 1.2k 1.1k 760 126 5.7k
Bojana Žegura Slovenia 37 1.2k 0.7× 1.2k 1.0× 777 0.7× 802 0.7× 555 0.7× 110 4.1k
Fei Yang China 46 793 0.5× 1.7k 1.4× 1.2k 1.1× 1.3k 1.1× 329 0.4× 264 6.7k
Valérie Fessard France 33 670 0.4× 1.1k 0.9× 446 0.4× 701 0.6× 493 0.6× 120 3.0k
Luděk Bláha Czechia 46 3.3k 2.0× 2.2k 1.9× 2.8k 2.4× 945 0.8× 391 0.5× 225 8.0k
L.A.P. Hoogenboom Netherlands 42 2.6k 1.5× 824 0.7× 736 0.6× 909 0.8× 735 1.0× 199 5.4k
Ángeles Jos Spain 46 1.7k 1.0× 2.2k 1.8× 628 0.5× 700 0.6× 110 0.1× 186 5.6k
Anna Lankoff Poland 31 815 0.5× 389 0.3× 372 0.3× 602 0.5× 498 0.7× 79 3.2k
Ana M. Cameán Spain 50 2.0k 1.2× 2.9k 2.5× 713 0.6× 894 0.8× 118 0.2× 228 6.9k
Qian Xiong China 35 430 0.3× 551 0.5× 601 0.5× 1.4k 1.2× 436 0.6× 119 3.5k
Kazumasa Hirata Japan 42 523 0.3× 336 0.3× 1.1k 0.9× 1.6k 1.4× 161 0.2× 145 4.8k

Countries citing papers authored by Metka Filipič

Since Specialization
Citations

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

Fields of papers citing papers by Metka Filipič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Metka Filipič

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

All Works

20 of 20 papers shown
1.
Žegura, Bojana, et al.. (2023). Adverse Toxic Effects of Tyrosine Kinase Inhibitors on Non-Target Zebrafish Liver (ZFL) Cells. International Journal of Molecular Sciences. 24(4). 3894–3894. 5 indexed citations
2.
Štampar, Martina, et al.. (2020). Hepatocellular carcinoma (HepG2/C3A) cell-based 3D model for genotoxicity testing of chemicals. The Science of The Total Environment. 755(Pt 2). 143255–143255. 41 indexed citations
3.
Díez-Quijada, Leticia, Klara Hercog, Martina Štampar, et al.. (2020). Genotoxic Effects of Cylindrospermopsin, Microcystin-LR and Their Binary Mixture in Human Hepatocellular Carcinoma (HepG2) Cell Line. Toxins. 12(12). 778–778. 15 indexed citations
4.
Novak, Matjaž, Špela Baebler, Bojana Žegura, et al.. (2020). Deregulation of whole-transcriptome gene expression in zebrafish (Danio rerio) after chronic exposure to low doses of imatinib mesylate in a complete life cycle study. Chemosphere. 263. 128097–128097. 12 indexed citations
5.
6.
Mišík, Miroslav, Franziska Ferk, Bojana Žegura, et al.. (2017). Use of HuH6 and other human-derived hepatoma lines for the detection of genotoxins: a new hope for laboratory animals?. Archives of Toxicology. 92(2). 921–934. 36 indexed citations
7.
Novak, Matjaž, et al.. (2017). Cytotoxicity and genotoxicity of anticancer drug residues and their mixtures in experimental model with zebrafish liver cells. The Science of The Total Environment. 601-602. 293–300. 74 indexed citations
8.
Novak, Saša, et al.. (2016). Diversity of TiO2 nanopowders’ characteristics relevant to toxicity testing. Journal of Nanoparticle Research. 18(5). 6 indexed citations
9.
Mišík, Miroslav, et al.. (2015). Impact of common cytostatic drugs on pollen fertility in higher plants. Environmental Science and Pollution Research. 23(15). 14730–14738. 6 indexed citations
10.
11.
Kreft, Ivan, et al.. (2013). Antigenotoxic Effect of Tartary ( Fagopyrum tataricum ) and Common ( Fagopyrum esculentum ) Buckwheat Flour. Journal of Medicinal Food. 16(10). 944–952. 29 indexed citations
12.
Žegura, Bojana, et al.. (2013). Determination of estrogenic potential in waste water without sample extraction. Journal of Hazardous Materials. 260. 527–533. 20 indexed citations
13.
Žegura, Bojana, Alja Štraser, & Metka Filipič. (2011). Genotoxicity and potential carcinogenicity of cyanobacterial toxins – a review. Mutation Research/Reviews in Mutation Research. 727(1-2). 16–41. 254 indexed citations
14.
15.
Kovač, Andreja, et al.. (2006). New lipophilic phthalimido- and 3-phenoxybenzyl sulfonates: Inhibition of antigen 85C mycolyltransferase activity and cytotoxicity. Journal of Enzyme Inhibition and Medicinal Chemistry. 21(4). 391–397. 12 indexed citations
16.
Hei, Tom K. & Metka Filipič. (2004). Role of oxidative damage in the genotoxicity of arsenic. Free Radical Biology and Medicine. 37(5). 574–581. 139 indexed citations
17.
Gobec, Stanislav, et al.. (2004). Modulation of cytokine production by some phthalimido-desmuramyl dipeptides and their cytotoxicity. Il Farmaco. 59(5). 345–352. 6 indexed citations
18.
Filipič, Metka & Tom K. Hei. (2004). Mutagenicity of cadmium in mammalian cells: implication of oxidative DNA damage. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 546(1-2). 81–91. 99 indexed citations
19.
Filipič, Metka, et al.. (2002). Cadmium induced DNA damage in human hepatoma (Hep G2) and Chinese hamster ovary (CHO) cells. Radiology and Oncology. 36(2). 2 indexed citations
20.
Žegura, Bojana, Metka Filipič, Dušan Šuput, Tamara T. Lah, & Bojan Sedmak. (2002). In vitro genotoxicity of microcystin-RR on primary cultured rat hepatocites and Hep G2 cell line detected by Comet assay. Radiology and Oncology. 36(2). 5 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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