Ján Dianovský

41 papers receiving 398 citations

Peers

Ján Dianovský
Comparison fields: 5 of 82
  • Pollution 112
  • Cancer Research 141
  • Health, Toxicology and Mutagenesis 117
  • Plant Science 209
  • Chemical Health and Safety 3
Replace Katarı́na Šiviková with:
Katarı́na Šiviková Slovakia
Júlio César Nepomuceno Brazil
R. Dean Blevins United States
Eduardo de la Peña Spain
Olga Siroki Hungary
J. Miyamoto Japan
P.M. Hurley United States
Kwang Sik Choi South Korea
Ann D. Mitchell United States
Jean Pierre J. P. Cravedi France
Ján Dianovský relative to Katarı́na Šiviková Slovakia Katarı́na Šiviková's profile →
Citations per field
00.5×1.5×
Katarı́na Šiviková · 1×
Citations per year

Countries citing papers authored by Ján Dianovský

Since Specialization
Citations

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

Fields of papers citing papers by Ján Dianovský

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Ján Dianovský, 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 Ján Dianovský Line = papers co-authored together Ján Dianovský links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200553
2 199538
3 201331
4 201529
5 200126
6 201322
7 201522
8 201621
9
Chromosomal aberrations in humans induced by benzene.
200421
10 199916
11 201314
12
In vivo and in vitro cytogenetic effect of supermethrin.
199514
13 201712
14 199512
15 201610
16 20098
17 20108
18 20006
19 20016
20 19996

About Ján Dianovský

Ján Dianovský is a scholar working on Cancer Research, Plant Science, Molecular Biology, Pollution and Health, Toxicology and Mutagenesis, having authored 42 papers that have together received 421 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (25 papers), Pesticide Exposure and Toxicity (9 papers), Pesticide and Herbicide Environmental Studies (7 papers), Mycotoxins in Agriculture and Food (7 papers), Insect Resistance and Genetics (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Animal testing and alternatives (2 papers) and Immunotoxicology and immune responses (2 papers). The work is most often cited by research in Pollution (112 citations), Cancer Research (141 citations), Health, Toxicology and Mutagenesis (117 citations), Plant Science (209 citations) and Chemical Health and Safety (3 citations). Ján Dianovský has collaborated with scholars based in Slovakia, Hungary and Austria. Frequent co-authors include Katarı́na Šiviková, Beáta Holečková, Goran Šinko, Maciej Wnuk, Anna Lewińska, Jacek Żebrowski, Marek Koziorowski, Leszek Potocki, Jana Staničová and V. Cigánková. Their work appears in journals such as Journal of Environmental Science and Health Part B, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Chemosphere and Toxicology Letters.

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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