Dana Štveráková

1.1k total citations · 1 hit paper
12 papers, 697 citations indexed

About

Dana Štveráková is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Dana Štveráková has authored 12 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Ecology and 6 papers in Genetics. Recurrent topics in Dana Štveráková's work include Bacteriophages and microbial interactions (6 papers), CRISPR and Genetic Engineering (5 papers) and Animal Genetics and Reproduction (5 papers). Dana Štveráková is often cited by papers focused on Bacteriophages and microbial interactions (6 papers), CRISPR and Genetic Engineering (5 papers) and Animal Genetics and Reproduction (5 papers). Dana Štveráková collaborates with scholars based in Czechia, United States and United Kingdom. Dana Štveráková's co-authors include Bruce Whitelaw, Daniel F. Carlson, Wenfang Tan, Chris Proudfoot, Simon Lillico, Scott C. Fahrenkrug, Daniel F. Voytas, Charles R. Long, Michelle Christian and Roman Pantůček and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Science Advances.

In The Last Decade

Dana Štveráková

12 papers receiving 680 citations

Hit Papers

Efficient TALEN-mediated gene knockout in livestock 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana Štveráková Czechia 7 565 371 74 73 55 12 697
Changzhi Zhao China 13 424 0.8× 168 0.5× 50 0.7× 37 0.5× 10 0.2× 32 579
Satomi Banno Japan 7 1.1k 1.9× 331 0.9× 188 2.5× 47 0.6× 8 0.1× 8 1.2k
David R. Cheng United States 4 882 1.6× 177 0.5× 104 1.4× 99 1.4× 6 0.1× 6 1.0k
Iana Fedorova Russia 10 1.4k 2.4× 206 0.6× 194 2.6× 72 1.0× 6 0.1× 11 1.4k
Robert Heler United States 9 665 1.2× 148 0.4× 51 0.7× 69 0.9× 4 0.1× 9 717
Wen Y. Wu Netherlands 8 940 1.7× 154 0.4× 153 2.1× 23 0.3× 6 0.1× 9 971
Alireza Edraki United States 7 740 1.3× 142 0.4× 47 0.6× 67 0.9× 6 0.1× 8 767
Lionel Bénard France 19 935 1.7× 386 1.0× 115 1.6× 246 3.4× 19 0.3× 26 1.0k
Spencer C. Knight United States 5 1.2k 2.1× 132 0.4× 106 1.4× 38 0.5× 5 0.1× 6 1.3k
Isaac P. Witte United States 6 1.1k 2.0× 152 0.4× 124 1.7× 41 0.6× 5 0.1× 6 1.2k

Countries citing papers authored by Dana Štveráková

Since Specialization
Citations

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

Fields of papers citing papers by Dana Štveráková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Štveráková

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

All Works

12 of 12 papers shown
3.
Horká, Marie, Jiří Šalplachta, Pavel Karásek, et al.. (2020). Rapid Isolation, Propagation, and Online Analysis of a Small Number of Therapeutic Staphylococcal Bacteriophages from a Complex Matrix. ACS Infectious Diseases. 6(10). 2745–2755. 10 indexed citations
4.
Hrebik, D., et al.. (2019). Structure and genome ejection mechanism of Staphylococcus aureus phage P68. Science Advances. 5(10). eaaw7414–eaaw7414. 45 indexed citations
5.
6.
Berková, Zuzana, et al.. (2018). Testing of a New Collagenase Blend for Pancreatic Islet Isolation Produced by <i>Clostridium histolyticum</i>. Advances in Bioscience and Biotechnology. 9(1). 26–35. 1 indexed citations
7.
Štveráková, Dana, Ondřej Šedo, Martin Benešík, et al.. (2018). Rapid Identification of Intact Staphylococcal Bacteriophages Using Matrix-Assisted Laser Desorption Ionization-Time-of-Flight Mass Spectrometry. Viruses. 10(4). 176–176. 20 indexed citations
8.
Lillico, Simon, Chris Proudfoot, Daniel F. Carlson, et al.. (2013). Live pigs produced from genome edited zygotes. Scientific Reports. 3(1). 2847–2847. 133 indexed citations
9.
Proudfoot, Chris, Daniel F. Carlson, Dana Štveráková, et al.. (2013). Live pigs produced from genome edited. 2 indexed citations
10.
Fahrenkrug, Scott C., Wenfang Tan, Simon Lillico, et al.. (2012). GENE INACTIVATION AND NONMEIOTIC ALLELE INTROGRESSION IN LIVESTOCK SPECIES USING TALENS. Reproduction Fertility and Development. 25(1). 318–318. 1 indexed citations
11.
Fahrenkrug, Scott C., Wenfang Tan, Simon Lillico, et al.. (2012). 337 NONMEIOTIC INTROGRESSION OF QUANTITATIVE TRAIT NUCLEOTIDES AND CORRECTION OF CONGENITAL MUTATIONS IN LIVESTOCK WITH TRANSCRIPTION ACTIVATOR-LIKE EFFECTOR NUCLEASES. Reproduction Fertility and Development. 25(1). 316–316. 1 indexed citations
12.
Carlson, Daniel F., Wenfang Tan, Simon Lillico, et al.. (2012). Efficient TALEN-mediated gene knockout in livestock. Proceedings of the National Academy of Sciences. 109(43). 17382–17387. 449 indexed citations breakdown →

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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