Jan Hejátko

4.8k total citations · 1 hit paper
87 papers, 3.1k citations indexed

About

Jan Hejátko is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Jan Hejátko has authored 87 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Plant Science, 64 papers in Molecular Biology and 13 papers in Food Science. Recurrent topics in Jan Hejátko's work include Plant Molecular Biology Research (41 papers), Plant Reproductive Biology (37 papers) and Genetically Modified Organisms Research (22 papers). Jan Hejátko is often cited by papers focused on Plant Molecular Biology Research (41 papers), Plant Reproductive Biology (37 papers) and Genetically Modified Organisms Research (22 papers). Jan Hejátko collaborates with scholars based in Czechia, France and Germany. Jan Hejátko's co-authors include Eva Benková, Jiřı́ Friml, Markéta Pernisová, Kamil Růžička, Ykä Helariutta, Vojtěch Didi, P. Jackson, Břetislav Brzobohatý, Philip B. Brewer and Jakub Horák and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jan Hejátko

80 papers receiving 3.0k citations

Hit Papers

Identification of factors required for m 6 A mRNA methyla... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Hejátko Czechia 29 2.4k 2.2k 172 83 82 87 3.1k
Cécile Raynaud France 29 1.8k 0.7× 1.8k 0.8× 127 0.7× 78 0.9× 21 0.3× 58 2.5k
Yves Martinez France 25 1.7k 0.7× 1.0k 0.5× 56 0.3× 118 1.4× 52 0.6× 43 2.2k
Artur Jarmołowski Poland 38 2.3k 1.0× 3.3k 1.5× 65 0.4× 341 4.1× 59 0.7× 104 4.4k
Olivier Van Wuytswinkel France 17 1.2k 0.5× 1.5k 0.7× 49 0.3× 72 0.9× 86 1.0× 22 2.2k
Shaojun Xie United States 22 2.8k 1.1× 1.8k 0.8× 72 0.4× 101 1.2× 53 0.6× 44 3.4k
Friedrich Kragler Germany 33 2.9k 1.2× 2.4k 1.1× 31 0.2× 111 1.3× 36 0.4× 64 4.1k
Tian‐Qi Zhang China 18 2.1k 0.9× 1.8k 0.8× 56 0.3× 42 0.5× 27 0.3× 38 2.5k
Jean‐Marc Deragon France 34 2.0k 0.8× 2.5k 1.1× 126 0.7× 239 2.9× 16 0.2× 66 3.3k
Moussa Benhamed France 34 2.8k 1.1× 2.4k 1.1× 126 0.7× 453 5.5× 17 0.2× 57 3.6k
Zofia Szweykowska-Kulińska Poland 33 2.3k 1.0× 2.2k 1.0× 75 0.4× 349 4.2× 99 1.2× 125 3.5k

Countries citing papers authored by Jan Hejátko

Since Specialization
Citations

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

Fields of papers citing papers by Jan Hejátko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Hejátko

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Hejátko. A scholar is included among the top collaborators of Jan Hejátko 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 Hejátko. Jan Hejátko 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.
Petrova, Iveta, Jan Skalák, Jan Hejátko, et al.. (2025). TRB proteins in moss reveal their evolutionarily conserved roles in plant development and telomere maintenance. The Plant Journal. 124(3). e70574–e70574.
2.
Hejátko, Jan, et al.. (2025). Differential expression and localization of expansins in Arabidopsis shoots: implications for cell wall dynamics and drought tolerance. Frontiers in Plant Science. 16. 1546819–1546819. 2 indexed citations
3.
Skalák, Jan, Elena V. Zemlyanskaya, Hélène S. Robert, et al.. (2024). Primary multistep phosphorelay activation comprises both cytokinin and abiotic stress responses: insights from comparative analysis of Brassica type-A response regulators. Journal of Experimental Botany. 75(20). 6346–6368. 1 indexed citations
4.
Samalova, Marketa, Kareem Elsayad, Alexis Peaucelle, et al.. (2023). Hormone-regulated expansins: Expression, localization, and cell wall biomechanics in Arabidopsis root growth. PLANT PHYSIOLOGY. 194(1). 209–228. 32 indexed citations
5.
Mullins, Ewen, Jean‐Louis Bresson, Tamás Dalmay, et al.. (2023). Animal dietary exposure in the risk assessment of feed derived from genetically modified plants. EFSA Journal. 21(1). e07732–e07732. 1 indexed citations
6.
Samalova, Marketa, et al.. (2022). Expansin-mediated developmental and adaptive responses: A matter of cell wall biomechanics?. SHILAP Revista de lepidopterología. 3. e11–e11. 30 indexed citations
7.
Hrtyan, Mónika, Katarzyna Retzer, Jana Humpolíčková, et al.. (2021). Mutually opposing activity of PIN7 splicing isoforms is required for auxin‐mediated tropic responses in Arabidopsis thaliana. New Phytologist. 233(1). 329–343. 16 indexed citations
9.
Antoniadi, Ioanna, Ondřej Novák, Zuzana Gelová, et al.. (2020). Cell-surface receptors enable perception of extracellular cytokinins. Nature Communications. 11(1). 4284–4284. 51 indexed citations
11.
Gigli‐Bisceglia, Nora, Timo Engelsdorf, Miroslav Strnad, et al.. (2018). Cell wall integrity modulates Arabidopsis thaliana cell cycle gene expression in a cytokinin- and nitrate reductase-dependent manner. Development. 145(19). 40 indexed citations
12.
Cuesta, Candela, et al.. (2017). Light Controls Cytokinin Signaling via Transcriptional Regulation of Constitutively Active Sensor Histidine Kinase CKI1. PLANT PHYSIOLOGY. 174(1). 387–404. 27 indexed citations
13.
Růžička, Kamil, Mi Zhang, Ana Campilho, et al.. (2017). Identification of factors required for m 6 A mRNA methylation in Arabidopsis reveals a role for the conserved E3 ubiquitin ligase HAKAI. New Phytologist. 215(1). 157–172. 371 indexed citations breakdown →
14.
Benešík, Martin, Jiří Nováček, Ľubomír Janda, et al.. (2017). Role of SH3b binding domain in a natural deletion mutant of Kayvirus endolysin LysF1 with a broad range of lytic activity. Virus Genes. 54(1). 130–139. 32 indexed citations
15.
Jupa, Radek, Vojtěch Didi, Jan Hejátko, & Vít Gloser. (2015). An improved method for the visualization of conductive vessels in Arabidopsis thaliana inflorescence stems. Frontiers in Plant Science. 6. 211–211. 4 indexed citations
16.
Žı́dek, Lukáš, et al.. (2015). Structural Aspects of Multistep Phosphorelay-Mediated Signaling in Plants. Molecular Plant. 9(1). 71–85. 24 indexed citations
17.
Gelová, Zuzana, et al.. (2015). Illuminating light, cytokinin, and ethylene signalling crosstalk in plant development: Fig. 1.. Journal of Experimental Botany. 66(16). 4913–4931. 67 indexed citations
18.
Hrtyan, Mónika, et al.. (2015). RNA processing in auxin and cytokinin pathways. Journal of Experimental Botany. 66(16). 4897–4912. 23 indexed citations
19.
Kutý, Michal, et al.. (2013). Cloning, expression, purification, crystallization and preliminary X-ray diffraction analysis of AHP2, a signal transmitter protein fromArabidopsis thaliana. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 69(2). 158–161. 5 indexed citations
20.
Benková, Eva & Jan Hejátko. (2008). Hormone interactions at the root apical meristem. Plant Molecular Biology. 69(4). 383–396. 128 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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