Jan Vrána

15.2k total citations · 1 hit paper
105 papers, 4.2k citations indexed

About

Jan Vrána is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Jan Vrána has authored 105 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Plant Science, 45 papers in Molecular Biology and 12 papers in Genetics. Recurrent topics in Jan Vrána's work include Chromosomal and Genetic Variations (61 papers), Plant Disease Resistance and Genetics (42 papers) and Wheat and Barley Genetics and Pathology (35 papers). Jan Vrána is often cited by papers focused on Chromosomal and Genetic Variations (61 papers), Plant Disease Resistance and Genetics (42 papers) and Wheat and Barley Genetics and Pathology (35 papers). Jan Vrána collaborates with scholars based in Czechia, United Kingdom and United States. Jan Vrána's co-authors include Jaroslav Doležel, Marie Kubaláková, Hana Šimková, Austin Smith, Ken Jones, Bianca Nijmeijer, Morag Robertson, Douglas Colby, Ian Chambers and Lars Grotewold and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Jan Vrána

100 papers receiving 4.1k citations

Hit Papers

Nanog safeguards pluripotency and mediates germline devel... 2007 2026 2013 2019 2007 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Vrána Czechia 30 2.7k 2.1k 712 181 157 105 4.2k
Graham Moore United Kingdom 34 3.6k 1.3× 2.4k 1.1× 1.0k 1.4× 53 0.3× 116 0.7× 78 4.5k
Claudia Kutter Sweden 21 1.2k 0.4× 3.3k 1.6× 471 0.7× 42 0.2× 23 0.1× 44 4.2k
Takayuki Suzuki Japan 21 340 0.1× 2.3k 1.1× 425 0.6× 53 0.3× 68 0.4× 97 3.0k
Christine A. Codomo United States 12 1.6k 0.6× 2.2k 1.0× 363 0.5× 36 0.2× 34 0.2× 12 2.9k
Yuko Yoshinaga United States 22 363 0.1× 1.4k 0.7× 279 0.4× 48 0.3× 48 0.3× 44 1.9k
René Wardenaar Netherlands 19 806 0.3× 973 0.5× 445 0.6× 26 0.1× 24 0.2× 41 1.8k
Renae L. Malek United States 19 762 0.3× 1.6k 0.8× 313 0.4× 55 0.3× 18 0.1× 28 2.5k
Tina L. Tootle United States 23 1.2k 0.4× 1.3k 0.6× 154 0.2× 52 0.3× 16 0.1× 42 2.6k
Alexis Eschstruth France 10 1.1k 0.4× 1.2k 0.6× 223 0.3× 22 0.1× 241 1.5× 16 2.1k

Countries citing papers authored by Jan Vrána

Since Specialization
Citations

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

Fields of papers citing papers by Jan Vrána

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Vrána

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Vrána. A scholar is included among the top collaborators of Jan Vrána 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 Jan Vrána. Jan Vrána 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.
Nenarokov, Serafim, Tereza Ševčíková, Jan Vrána, et al.. (2024). Insights into Biological Mechanisms Responsible for Egression of Circulating Tumor Plasma Cells (CTCs) in Multiple Myeloma. Blood. 144(Supplement 1). 3270–3270. 1 indexed citations
2.
Xing, Liping, Qiang Wang, Zhenpu Huang, et al.. (2021). Long‐range assembly of sequences helps to unravel the genome structure and small variation of the wheat–Haynaldia villosa translocated chromosome 6VS.6AL. Plant Biotechnology Journal. 19(8). 1567–1578. 22 indexed citations
3.
Vrána, Jan, et al.. (2020). DNA replication and chromosome positioning throughout the interphase in three-dimensional space of plant nuclei. Journal of Experimental Botany. 71(20). 6262–6272. 13 indexed citations
4.
Ford, Brett, Eloise Foo, Robert E. Sharwood, et al.. (2018). Rht18 Semidwarfism in Wheat Is Due to Increased GA 2-oxidaseA9 Expression and Reduced GA Content. PLANT PHYSIOLOGY. 177(1). 168–180. 112 indexed citations
5.
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
6.
Kaur, Parwinder, Philipp E. Bayer, Zbyněk Milec, et al.. (2017). An advanced reference genome of Trifolium subterraneum L. reveals genes related to agronomic performance. Plant Biotechnology Journal. 15(8). 1034–1046. 27 indexed citations
7.
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
8.
Sánchez‐Martín, Javier, Burkhard Steuernagel, Sreya Ghosh, et al.. (2016). Rapid gene isolation in barley and wheat by mutant chromosome sequencing. Genome biology. 17(1). 221–221. 219 indexed citations
9.
Tiwari, Vijay, Shichen Wang, Sunish K. Sehgal, et al.. (2014). SNP Discovery for mapping alien introgressions in wheat. BMC Genomics. 15(1). 273–273. 72 indexed citations
10.
Molnár, István, Marie Kubaláková, Hana Šimková, et al.. (2014). Flow cytometric chromosome sorting from diploid progenitors of bread wheat, T. urartu, Ae. speltoides and Ae. tauschii. Theoretical and Applied Genetics. 127(5). 1091–1104. 28 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.
Depreter, Marianne, Natalie Blair, Terri Gaskell, et al.. (2008). Identification of Plet-1 as a specific marker of early thymic epithelial progenitor cells. Proceedings of the National Academy of Sciences. 105(3). 961–966. 72 indexed citations
14.
Vrána, Jan, et al.. (2004). Isolation of Chromosomes from Picea abies and their Analysis by Flow Cytometry. Biologia Plantarum. 48(2). 199–203. 9 indexed citations
15.
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
16.
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
17.
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
18.
Kubaláková, Marie, Jan Vrána, Jarmila Číhalíková, Hana Šimková, & Jaroslav Doležel. (2002). Flow karyotyping and chromosome sorting in bread wheat (Triticum aestivum L.). Theoretical and Applied Genetics. 104(8). 1362–1372. 91 indexed citations
19.
Vrána, Jan, et al.. (1997). Laparoskopické řešení varikokély u dětí. 1(2). 35–37. 1 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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