Daniela Karasová

1.4k total citations
39 papers, 954 citations indexed

About

Daniela Karasová is a scholar working on Food Science, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Daniela Karasová has authored 39 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Food Science, 17 papers in Molecular Biology and 16 papers in Animal Science and Zoology. Recurrent topics in Daniela Karasová's work include Gut microbiota and health (17 papers), Salmonella and Campylobacter epidemiology (13 papers) and Animal Nutrition and Physiology (13 papers). Daniela Karasová is often cited by papers focused on Gut microbiota and health (17 papers), Salmonella and Campylobacter epidemiology (13 papers) and Animal Nutrition and Physiology (13 papers). Daniela Karasová collaborates with scholars based in Czechia, Germany and Switzerland. Daniela Karasová's co-authors include Ivan Rychlı́k, Magdaléna Crhánová, Tereza Kubasová, Alena Šebková, Darina Čejková, Alois Čížek, Hana Havlíčková, Frantisek Šišák, Marcela Faldynová and Jiřı́ Volf and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Applied and Environmental Microbiology.

In The Last Decade

Daniela Karasová

38 papers receiving 950 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Karasová Czechia 19 497 420 339 280 137 39 954
Alena Šebková Czechia 14 482 1.0× 468 1.1× 343 1.0× 255 0.9× 116 0.8× 25 935
Hana Havlíčková Czechia 21 799 1.6× 404 1.0× 556 1.6× 394 1.4× 177 1.3× 37 1.3k
Oliveiro Caetano de Freitas Neto Brazil 17 697 1.4× 228 0.5× 291 0.9× 172 0.6× 163 1.2× 60 1.0k
Magdaléna Crhánová Czechia 14 367 0.7× 359 0.9× 427 1.3× 214 0.8× 57 0.4× 30 822
Ulrike Lyhs Finland 20 593 1.2× 320 0.8× 370 1.1× 137 0.5× 112 0.8× 35 1.0k
Viviana Clavijo Colombia 15 430 0.9× 306 0.7× 309 0.9× 188 0.7× 89 0.6× 21 980
D.E. Cosby United States 20 886 1.8× 156 0.4× 569 1.7× 284 1.0× 116 0.8× 53 1.2k
Jessica L. Danzeisen United States 15 488 1.0× 458 1.1× 346 1.0× 184 0.7× 278 2.0× 17 1.2k
Adriana Ayres Pedroso Brazil 16 480 1.0× 456 1.1× 849 2.5× 157 0.6× 92 0.7× 42 1.3k
Frantisek Šišák Czechia 19 816 1.6× 757 1.8× 808 2.4× 410 1.5× 118 0.9× 31 1.7k

Countries citing papers authored by Daniela Karasová

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Karasová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Karasová

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Karasová. A scholar is included among the top collaborators of Daniela Karasová 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 Daniela Karasová. Daniela Karasová 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.
Matiasovicova, Jitka, Kateřina Nechvátalová, Daniela Karasová, et al.. (2025). Colonisation of Newborn Piglets with a Mixture of Bacteroides Species Improves Their Gut Health and Performance. Microorganisms. 13(10). 2356–2356.
2.
Volf, Jiřı́, Bernd Kaspers, Benjamin Schusser, et al.. (2024). Immunoglobulin secretion influences the composition of chicken caecal microbiota. Scientific Reports. 14(1). 25410–25410. 1 indexed citations
3.
Crhánová, Magdaléna, Jitka Matiasovicova, Daniela Karasová, et al.. (2023). Colonization of chickens with competitive exclusion products results in extensive differences in metabolite composition in cecal digesta. Poultry Science. 103(1). 103217–103217. 5 indexed citations
4.
Faldynová, Marcela, Alena Šebková, Jiřı́ Volf, et al.. (2023). Contact with adult hens affects the composition of skin and respiratory tract microbiota in newly hatched chicks. Poultry Science. 103(2). 103302–103302. 5 indexed citations
5.
Krzyžanková, Miroslava, Martina Florianová, Daniela Karasová, et al.. (2023). Microbial Succession in the Cheese Ripening Process—Competition of the Starter Cultures and the Microbiota of the Cheese Plant Environment. Microorganisms. 11(7). 1735–1735. 10 indexed citations
6.
Rychlı́k, Ivan, Daniela Karasová, & Magdaléna Crhánová. (2023). Microbiota of Chickens and Their Environment in Commercial Production. Avian Diseases. 67(1). 1–9. 10 indexed citations
7.
8.
Rychlı́k, Ivan, Daniela Karasová, Magdaléna Crhánová, et al.. (2022). Influence of heat stress on intestinal integrity and the caecal microbiota during Enterococcus cecorum infection in broilers. Veterinary Research. 53(1). 110–110. 19 indexed citations
9.
Hodkovicová, Nikola, Jana Blahová, Přemysl Mikula, et al.. (2022). Non-steroidal anti-inflammatory drugs caused an outbreak of inflammation and oxidative stress with changes in the gut microbiota in rainbow trout (Oncorhynchus mykiss). The Science of The Total Environment. 849. 157921–157921. 26 indexed citations
10.
Rychlı́k, Ivan, Claudia Hess, Tamás Hatfaludi, et al.. (2021). Typhlitis induced by Histomonas meleagridis affects relative but not the absolute Escherichia coli counts and invasion in the gut in turkeys. Veterinary Research. 52(1). 92–92. 10 indexed citations
11.
Karasová, Daniela, et al.. (2020). Development of piglet gut microbiota at the time of weaning influences development of postweaning diarrhea – A field study. Research in Veterinary Science. 135. 59–65. 52 indexed citations
12.
13.
Kubasová, Tereza, Magdaléna Crhánová, Daniela Karasová, et al.. (2019). Contact with adult hen affects development of caecal microbiota in newly hatched chicks. PLoS ONE. 14(3). e0212446–e0212446. 100 indexed citations
14.
Kubasová, Tereza, Daniela Karasová, Magdaléna Crhánová, et al.. (2019). Use of 16S rRNA gene sequencing for prediction of new opportunistic pathogens in chicken ileal and cecal microbiota. Poultry Science. 98(6). 2347–2353. 54 indexed citations
15.
Medvecký, Matej, Darina Čejková, Ondřej Polanský, et al.. (2018). Whole genome sequencing and function prediction of 133 gut anaerobes isolated from chicken caecum in pure cultures. BMC Genomics. 19(1). 561–561. 113 indexed citations
16.
Crhánová, Magdaléna, et al.. (2011). LPS structure influences protein secretion in Salmonella enterica. Veterinary Microbiology. 152(1-2). 131–137. 11 indexed citations
17.
Volf, Jiřı́, Petra Ondráčková, Ján Matiašovic, et al.. (2011). SPI-1-encoded type III secretion system of Salmonella enterica is required for the suppression of porcine alveolar macrophage cytokine expression. Veterinary Research. 42(1). 16–16. 45 indexed citations
18.
Karasová, Daniela, Alena Šebková, Hana Havlíčková, et al.. (2010). Influence of 5 major Salmonella pathogenicity islands on NK cell depletion in mice infected with Salmonella enterica serovar Enteritidis. BMC Microbiology. 10(1). 75–75. 26 indexed citations
19.
20.
Karasová, Daniela, et al.. (2008). aroAandaroDmutations influence biofilm formation inSalmonellaEnteritidis. FEMS Microbiology Letters. 291(1). 44–49. 19 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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