Hana Šimková

16.9k total citations
97 papers, 3.7k citations indexed

About

Hana Šimková is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Hana Šimková has authored 97 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Plant Science, 20 papers in Molecular Biology and 16 papers in Genetics. Recurrent topics in Hana Šimková's work include Chromosomal and Genetic Variations (73 papers), Plant Disease Resistance and Genetics (65 papers) and Wheat and Barley Genetics and Pathology (58 papers). Hana Šimková is often cited by papers focused on Chromosomal and Genetic Variations (73 papers), Plant Disease Resistance and Genetics (65 papers) and Wheat and Barley Genetics and Pathology (58 papers). Hana Šimková collaborates with scholars based in Czechia, Germany and United States. Hana Šimková's co-authors include Jaroslav Doležel, Marie Kubaláková, Jan Vrána, Jan Šafář, Jan Bartoš, Thomas Wicker, Pavla Suchánková, Martin A. Lysák, Jarmila Číhalíková and Klaus Mayer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Hana Šimková

95 papers receiving 3.6k citations

Peers

Hana Šimková
Fangpu Han China
Bradley J. Till United States
Arnis Druka United Kingdom
Peter G. Isaac United Kingdom
Wenxue Zhai China
Patricia S. Springer United States
Cheng‐Ting Yeh United States
Lisa Harper United States
Michael G. Muszynski United States
Gaëtan Droc France
Fangpu Han China
Hana Šimková
Citations per year, relative to Hana Šimková Hana Šimková (= 1×) peers Fangpu Han

Countries citing papers authored by Hana Šimková

Since Specialization
Citations

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

Fields of papers citing papers by Hana Šimková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hana Šimková

This figure shows the co-authorship network connecting the top 25 collaborators of Hana Šimková. A scholar is included among the top collaborators of Hana Šimková 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 Hana Šimková. Hana Šimková 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.
Navrátilová, Pavla, et al.. (2025). Epigenome and interactome profiling uncovers principles of distal regulation in the barley genome. Cell Genomics. 6(1). 101037–101037. 1 indexed citations
2.
Chen, Jianyong, Jan Bartoš, Anastassia Boudichevskaia, et al.. (2024). The genetic mechanism of B chromosome drive in rye illuminated by chromosome-scale assembly. Nature Communications. 15(1). 9686–9686. 4 indexed citations
3.
Heuberger, Matthias, Mahmoud Said, Esther Jung, et al.. (2024). Analysis of a global wheat panel reveals a highly diverse introgression landscape and provides evidence for inter-homoeologue chromosomal recombination. Theoretical and Applied Genetics. 137(10). 236–236. 6 indexed citations
4.
Cápal, Petr, Jean‐Marie Rouillard, Kateřina Holušová, et al.. (2023). Helical coiling of metaphase chromatids. Nucleic Acids Research. 51(6). 2641–2654. 22 indexed citations
5.
Navrátilová, Pavla, Helena Toegelová, Zuzana Tulpová, et al.. (2022). Prospects of telomere‐to‐telomere assembly in barley: Analysis of sequence gaps in the MorexV3 reference genome. Plant Biotechnology Journal. 20(7). 1373–1386. 48 indexed citations
6.
Kolodziej, Markus C., Jyoti Singla, Javier Sánchez‐Martín, et al.. (2021). A membrane-bound ankyrin repeat protein confers race-specific leaf rust disease resistance in wheat. Nature Communications. 12(1). 956–956. 79 indexed citations
7.
Abrouk, Michaël, Hana Šimková, Jan Šafář, et al.. (2018). Divergence between bread wheat and Triticum militinae in the powdery mildew resistance QPm.tut-4A locus and its implications for cloning of the resistance gene. Theoretical and Applied Genetics. 132(4). 1061–1072. 14 indexed citations
8.
Hřibová, Eva, Kateřina Holušová, Pavel Trávníček, et al.. (2016). The Enigma of Progressively Partial Endoreplication: New Insights Provided by Flow Cytometry and Next-Generation Sequencing. Genome Biology and Evolution. 8(6). 1996–2005. 20 indexed citations
9.
Helguera, Marcelo, Máximo Rivarola, Bernardo Clavijo, et al.. (2014). New insights into the wheat chromosome 4D structure and virtual gene order, revealed by survey pyrosequencing. Plant Science. 233. 200–212. 15 indexed citations
10.
Berkman, Paul J., Paul Visendi, Jiri Stiller, et al.. (2013). Dispersion and domestication shaped the genome of bread wheat. Plant Biotechnology Journal. 11(5). 564–571. 63 indexed citations
11.
Doležel, Jaroslav, Jan Vrána, Jan Šafář, et al.. (2012). Chromosomes in the flow to simplify genome analysis. Functional & Integrative Genomics. 12(3). 397–416. 78 indexed citations
12.
Vrána, Jan, et al.. (2012). Flow cytometric chromosome sorting in plants: The next generation. Methods. 57(3). 331–337. 39 indexed citations
13.
Parlange, Francis, Simone Oberhaensli, James Breen, et al.. (2011). A major invasion of transposable elements accounts for the large size of the Blumeria graminis f.sp. tritici genome. Functional & Integrative Genomics. 11(4). 671–677. 35 indexed citations
14.
Berkman, Paul J., Adam Skarshewski, Michał T. Lorenc, et al.. (2011). Sequencing and assembly of low copy and genic regions of isolated Triticum aestivum chromosome arm 7DS. QUT ePrints (Queensland University of Technology). 4 indexed citations
15.
Doležel, Jaroslav, et al.. (2010). Chromosome Analysis and Sorting Using Flow Cytometry. Methods in molecular biology. 701. 221–238. 13 indexed citations
16.
Luo, Ming‐Cheng, Yaqin Ma, Frank M. You, et al.. (2010). Feasibility of physical map construction from fingerprinted bacterial artificial chromosome libraries of polyploid plant species. BMC Genomics. 11(1). 122–122. 17 indexed citations
17.
Mayer, Klaus, Stefan Taudien, Mihaela Martis, et al.. (2009). Gene Content and Virtual Gene Order of Barley Chromosome 1H   . PLANT PHYSIOLOGY. 151(2). 496–505. 111 indexed citations
18.
Šafář, Jan, Juan Carlos Noa-Carrazana, Jan Vrána, et al.. (2004). Creation of a BAC resource to study the structure and evolution of the banana (Musa balbisiana) genome. Genome. 47(6). 1182–1191. 34 indexed citations
19.
Šafář, Jan, Jan Bartoš, Jaroslav Janda, et al.. (2004). Dissecting large and complex genomes: flow sorting and BAC cloning of individual chromosomes from bread wheat. The Plant Journal. 39(6). 960–968. 98 indexed citations
20.
Šimková, Hana, Jarmila Číhalíková, Jan Vrána, Martin A. Lysák, & Jaroslav Doležel. (2003). Preparation of HMW DNA from Plant Nuclei and Chromosomes Isolated from Root Tips. Biologia Plantarum. 46(3). 369–373. 50 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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