Helena Kanďárová

2.2k total citations
79 papers, 1.1k citations indexed

About

Helena Kanďárová is a scholar working on Small Animals, Biomedical Engineering and Immunology. According to data from OpenAlex, Helena Kanďárová has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Small Animals, 18 papers in Biomedical Engineering and 13 papers in Immunology. Recurrent topics in Helena Kanďárová's work include Animal testing and alternatives (56 papers), 3D Printing in Biomedical Research (15 papers) and Immunotoxicology and immune responses (13 papers). Helena Kanďárová is often cited by papers focused on Animal testing and alternatives (56 papers), 3D Printing in Biomedical Research (15 papers) and Immunotoxicology and immune responses (13 papers). Helena Kanďárová collaborates with scholars based in United States, Slovakia and France. Helena Kanďárová's co-authors include Manfred Liebsch, Silvia Letašiová, Dagmar Jírová, Patrick Hayden, Dieter Traue, Horst Spielmann, Elke Genschow, Joseph Kubilus, Yulia Kaluzhny and Kristína Kejlová and has published in prestigious journals such as SHILAP Revista de lepidopterología, Organic & Biomolecular Chemistry and Toxicology Letters.

In The Last Decade

Helena Kanďárová

73 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helena Kanďárová United States 19 533 289 248 231 142 79 1.1k
R. Roguet France 21 512 1.0× 188 0.7× 612 2.5× 625 2.7× 215 1.5× 46 1.5k
Wolfgang Pape Germany 15 407 0.8× 133 0.5× 258 1.0× 44 0.2× 124 0.9× 28 948
S. Bessou‐Touya France 17 165 0.3× 77 0.3× 533 2.1× 98 0.4× 91 0.6× 67 912
David A. Basketter United Kingdom 27 729 1.4× 95 0.3× 1.4k 5.6× 360 1.6× 319 2.2× 56 2.2k
Eric K. Dufour France 11 114 0.2× 169 0.6× 263 1.1× 80 0.3× 49 0.3× 15 1.1k
Takao Ashikaga Japan 21 719 1.3× 66 0.2× 1.5k 6.1× 73 0.3× 289 2.0× 42 2.0k
Yuri Dancik United States 15 103 0.2× 307 1.1× 475 1.9× 504 2.2× 57 0.4× 31 1.2k
Katharina Guth Germany 10 165 0.3× 84 0.3× 335 1.4× 81 0.4× 46 0.3× 13 583
Dagmar Jírová Czechia 19 127 0.2× 197 0.7× 136 0.5× 72 0.3× 48 0.3× 46 876
Jamin A. Willoughby Poland 14 153 0.3× 76 0.3× 32 0.1× 18 0.1× 57 0.4× 25 603

Countries citing papers authored by Helena Kanďárová

Since Specialization
Citations

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

Fields of papers citing papers by Helena Kanďárová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helena Kanďárová

This figure shows the co-authorship network connecting the top 25 collaborators of Helena Kanďárová. A scholar is included among the top collaborators of Helena Kanďárová 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 Helena Kanďárová. Helena Kanďárová 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.
Roper, Clive, et al.. (2026). ESTIV early career network: A growing initiative to support the next generation of NAMs-oriented toxicologists. Toxicology in Vitro. 113. 106216–106216.
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Kanďárová, Helena, et al.. (2024). Exploring the potential of reconstructed human epithelial tissue models for safety assessment of intraoral medical devices. Toxicology in Vitro. 104. 105956–105956.
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Kanďárová, Helena, et al.. (2023). MLtox, online phototoxicity prediction webpage. Toxicology in Vitro. 94. 105701–105701. 2 indexed citations
6.
Janoušek, Stanislav, Kristína Kejlová, Dagmar Jírová, et al.. (2021). Qualitative and Quantitative Analysis of Certain Aspects of the Cytotoxic and Genotoxic Hazard of Hospital Wastewaters by Using a Range of In Vitro Assays. Alternatives to Laboratory Animals. 49(1-2). 33–48. 2 indexed citations
7.
Ahuja, Vijay T., et al.. (2021). In silico toxicity prediction using Derek Nexus® for skin sensitization, phototoxicity, hepatotoxicity and in vitro hERG inhibition. Toxicology Letters. 350. S250–S250. 1 indexed citations
8.
Dvořáková, Markéta, et al.. (2020). Safety testing of adult novelties using in vitro methods. Regulatory Toxicology and Pharmacology. 117. 104780–104780. 5 indexed citations
9.
Kanďárová, Helena, et al.. (2018). Pre-validation of an in vitro skin irritation test for medical devices using the reconstructed human tissue model EpiDerm™. Toxicology in Vitro. 50. 407–417. 36 indexed citations
10.
Kanďárová, Helena, Jamin A. Willoughby, Wim H. de Jong, et al.. (2016). Development, optimization and validation of an in vitro skin irritation test for medical devices using the reconstructed human tissue model EpiDerm. Toxicology Letters. 258. S63–S63. 2 indexed citations
11.
Hayden, Patrick, Michael Bachelor, Seyoum Ayehunie, et al.. (2015). Application of MatTek In Vitro Reconstructed Human Skin Models for Safety, Efficacy Screening, and Basic Preclinical Research. 1(3). 226–233. 18 indexed citations
12.
Kaluzhny, Yulia, et al.. (2015). Eye Irritation Test (EIT) for Hazard Identification of Eye Irritating Chemicals using Reconstructed Human Cornea-like Epithelial (RhCE) Tissue Model. Journal of Visualized Experiments. e52979–e52979. 8 indexed citations
13.
Desprez, Bertrand, et al.. (2015). Two novel prediction models improve predictions of skin corrosive sub-categories by test methods of OECD Test Guideline No. 431. Toxicology in Vitro. 29(8). 2055–2080. 24 indexed citations
14.
Kanďárová, Helena, et al.. (2009). An <em>In Vitro</em> Skin Irritation Test (SIT) using the EpiDerm Reconstructed Human Epidermal (RHE) Model. Journal of Visualized Experiments. 12 indexed citations
15.
Kaluzhny, Yulia, et al.. (2008). Expanded utilization of the EpiOcular™ human corneal tissue model for ocular irritation testing. Toxicology Letters. 180. S107–S107. 4 indexed citations
16.
Kaluzhny, Yulia, et al.. (2007). Expanded utilization of the EpiOcular™ human corneal tissue model for ocular irritation tests. Toxicology Letters. 172. S81–S81. 6 indexed citations
17.
Kanďárová, Helena, et al.. (2006). In vitro skin absorption of butyl methoxydibenzoylmethane determined in human epidermis and in a reconstituted human epidermis model. OpenAgrar. 1 indexed citations
18.
Kanďárová, Helena, Manfred Liebsch, Horst Spielmann, et al.. (2006). Assessment of the human epidermis model SkinEthic RHE for in vitro skin corrosion testing of chemicals according to new OECD TG 431. Toxicology in Vitro. 20(5). 547–559. 77 indexed citations
19.
Schreiber, Sylvia, Ashraf Mahmoud, E. Schmidt, et al.. (2005). Reconstructed epidermis versus human and animal skin in skin absorption studies. Toxicology in Vitro. 19(6). 813–822. 92 indexed citations
20.
Kanďárová, Helena, Manfred Liebsch, Ingrid Gerner, et al.. (2005). The EpiDerm Test Protocol for the Upcoming ECVAM Validation Study on In Vitro Skin Irritation Tests — An Assessment of the Performance of the Optimised Test. Alternatives to Laboratory Animals. 33(4). 351–367. 54 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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