Dagmar Mudroňová

142 total papers · 2.1k total citations
102 papers, 1.5k citations indexed

About

Dagmar Mudroňová is a scholar working on Food Science, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Dagmar Mudroňová has authored 102 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Food Science, 27 papers in Animal Science and Zoology and 20 papers in Molecular Biology. Recurrent topics in Dagmar Mudroňová's work include Probiotics and Fermented Foods (39 papers), Animal Nutrition and Physiology (23 papers) and Aquaculture disease management and microbiota (12 papers). Dagmar Mudroňová is often cited by papers focused on Probiotics and Fermented Foods (39 papers), Animal Nutrition and Physiology (23 papers) and Aquaculture disease management and microbiota (12 papers). Dagmar Mudroňová collaborates with scholars based in Slovakia, Czechia and Poland. Dagmar Mudroňová's co-authors include Radomı́ra Nemcová, Soňa Gancarčíková, Jana Koščová, Alojz Bomba, Peter Popelka, R. Herich, Viola Strompfová, Ľudmila Tkáčiková, P. Guba and Andrea Lauková and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Dagmar Mudroňová

95 papers receiving 1.5k 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 Mudroňová 497 448 318 271 243 102 1.5k
Karim Mardani 504 1.0× 628 1.4× 285 0.9× 299 1.1× 144 0.6× 98 2.0k
Yasushi Sugimoto 563 1.1× 789 1.8× 197 0.6× 262 1.0× 172 0.7× 80 1.7k
Luca Fasolato 455 0.9× 469 1.0× 210 0.7× 351 1.3× 69 0.3× 85 1.6k
Yi‐Cheng Su 751 1.5× 661 1.5× 726 2.3× 303 1.1× 168 0.7× 69 2.3k
Hiroshi Naito 280 0.6× 781 1.7× 156 0.5× 247 0.9× 291 1.2× 65 1.4k
María del Camino García Fernández 947 1.9× 640 1.4× 157 0.5× 639 2.4× 217 0.9× 97 2.3k
Hua Li 190 0.4× 654 1.5× 352 1.1× 324 1.2× 142 0.6× 119 1.5k
Eric Auclair 670 1.3× 598 1.3× 199 0.6× 753 2.8× 213 0.9× 62 2.3k
Satoshi Kawahara 370 0.7× 577 1.3× 168 0.5× 498 1.8× 197 0.8× 90 1.5k
Artur Jóźwik 403 0.8× 674 1.5× 239 0.8× 563 2.1× 386 1.6× 113 2.4k

Countries citing papers authored by Dagmar Mudroňová

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Mudroňová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Mudroňová

This figure shows the co-authorship network connecting the top 25 collaborators of Dagmar Mudroňová. A scholar is included among the top collaborators of Dagmar Mudroňová 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 Mudroňová. Dagmar Mudroňová 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