Dagmar Chudobová

40 total papers · 814 total citations
23 papers, 639 citations indexed

About

Dagmar Chudobová is a scholar working on Molecular Biology, Biomedical Engineering and Nutrition and Dietetics. According to data from OpenAlex, Dagmar Chudobová has authored 23 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Biomedical Engineering and 5 papers in Nutrition and Dietetics. Recurrent topics in Dagmar Chudobová's work include Bacterial biofilms and quorum sensing (5 papers), Biosensors and Analytical Detection (4 papers) and Nanoparticles: synthesis and applications (3 papers). Dagmar Chudobová is often cited by papers focused on Bacterial biofilms and quorum sensing (5 papers), Biosensors and Analytical Detection (4 papers) and Nanoparticles: synthesis and applications (3 papers). Dagmar Chudobová collaborates with scholars based in Czechia, Poland and Sweden. Dagmar Chudobová's co-authors include Vojtěch Adam, René Kizek, Pavel Kopel, Kristýna Číhalová, Branislav Ruttkay-Nedecký, Lukáš Nejdl, Miguel Ángel Merlos Rodrigo, Jaromír Gumulec, Roman Guráň and David Hynek and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Electrochimica Acta.

In The Last Decade

Dagmar Chudobová

23 papers receiving 618 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dagmar Chudobová 180 168 164 97 76 23 639
Roman Guráň 170 0.9× 95 0.6× 269 1.6× 122 1.3× 45 0.6× 53 717
Ting Liu 184 1.0× 115 0.7× 197 1.2× 36 0.4× 48 0.6× 34 723
Petr Michálek 150 0.8× 185 1.1× 309 1.9× 42 0.4× 43 0.6× 37 663
Ana Maria Jimenez Jimenez 94 0.5× 134 0.8× 327 2.0× 44 0.5× 53 0.7× 31 644
Simona Dostálová 252 1.4× 207 1.2× 284 1.7× 89 0.9× 49 0.6× 37 749
Carlos López-Chaves 229 1.3× 145 0.9× 103 0.6× 91 0.9× 22 0.3× 20 664
Anna Barbasz 344 1.9× 123 0.7× 121 0.7× 46 0.5× 46 0.6× 44 753
Stéphanie Verschuere 112 0.6× 130 0.8× 227 1.4× 29 0.3× 71 0.9× 18 707
Jiyan Leng 117 0.7× 197 1.2× 179 1.1× 59 0.6× 45 0.6× 24 733
Jinhua Wei 178 1.0× 208 1.2× 322 2.0× 48 0.5× 32 0.4× 16 694

Countries citing papers authored by Dagmar Chudobová

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Chudobová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Chudobová

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

All Works

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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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2026