Michael Taleski

402 total citations
10 papers, 297 citations indexed

About

Michael Taleski is a scholar working on Plant Science, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael Taleski has authored 10 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Molecular Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Michael Taleski's work include Plant Molecular Biology Research (8 papers), Plant nutrient uptake and metabolism (8 papers) and Plant Reproductive Biology (4 papers). Michael Taleski is often cited by papers focused on Plant Molecular Biology Research (8 papers), Plant nutrient uptake and metabolism (8 papers) and Plant Reproductive Biology (4 papers). Michael Taleski collaborates with scholars based in Australia, Denmark and United Kingdom. Michael Taleski's co-authors include Michael A. Djordjevic, Nijat Imin, Manuel Frank, Huw A. Ogilvie, Craig J. Sturrock, Thomas Schmülling, Michael Groszmann, Sonika Tyagi, Yan Xiong and Ondřej Novák and has published in prestigious journals such as Nature Communications, PLANT PHYSIOLOGY and New Phytologist.

In The Last Decade

Michael Taleski

9 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Taleski Australia	9	269	150	29	23	8	10	297
Ariel Ivanovici Australia	6	289 1.1×	113 0.8×	24 0.8×	60 2.6×	5 0.6×	7	320
Elżbieta Golemiec Poland	8	479 1.8×	374 2.5×	6 0.2×	13 0.6×	1 0.1×	10	503
Ida M. Stø Norway	4	286 1.1×	208 1.4×	3 0.1×	5 0.2×	2 0.3×	4	306
Colin D. Leasure United States	6	388 1.4×	317 2.1×	3 0.1×	3 0.1×	4 0.5×	7	414
Teresa J. Clark United States	8	52 0.2×	73 0.5×	3 0.1×	22 1.0×		9	127
Yan-Qiu Tan China	8	281 1.0×	107 0.7×	2 0.1×	7 0.3×	3 0.4×	9	302
Shengbo Cong China	9	170 0.6×	282 1.9×	5 0.2×	2 0.1×	2 0.3×	15	302
Yoon‐Sun Hur South Korea	9	269 1.0×	207 1.4×		8 0.3×	2 0.3×	13	310
Jana Trenner Germany	8	284 1.1×	191 1.3×		9 0.4×	5 0.6×	9	314
Jakub Hajný Czechia	9	391 1.5×	304 2.0×	2 0.1×	4 0.2×		12	416

Countries citing papers authored by Michael Taleski

Since Specialization

Citations

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

Fields of papers citing papers by Michael Taleski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Taleski

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

All Works

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10 of 10 papers shown

Dixon, Richard A. F., Michael Taleski, Karen Massel, et al.. (2025). CEPR1 function across plant lineages: peptide hormone recognition by cereal crop orthologs and developmental roles in barley. Journal of Experimental Botany. 76(20). 5861–5876.

Taleski, Michael, et al.. (2023). C-TERMINALLY ENCODED PEPTIDE (CEP) and cytokinin hormone signaling intersect to promote shallow lateral root angles. Journal of Experimental Botany. 75(2). 631–641. 13 indexed citations

Taleski, Michael, et al.. (2023). CEP peptide and cytokinin pathways converge on CEPD glutaredoxins to inhibit root growth. Nature Communications. 14(1). 1683–1683. 22 indexed citations

Taleski, Michael, et al.. (2023). CEP hormones at the nexus of nutrient acquisition and allocation, root development, and plant–microbe interactions. Journal of Experimental Botany. 75(2). 538–552. 21 indexed citations

Ivanovici, Ariel, Michael Taleski, Craig J. Sturrock, et al.. (2020). CEP receptor signalling controls root system architecture in Arabidopsis and Medicago. New Phytologist. 226(6). 1809–1821. 39 indexed citations

Taleski, Michael, et al.. (2020). The Peptide Hormone Receptor CEPR1 Functions in the Reproductive Tissue to Control Seed Size and Yield. PLANT PHYSIOLOGY. 183(2). 620–636. 20 indexed citations

Taleski, Michael, et al.. (2019). CEP–CEPR1 signalling inhibits the sucrose-dependent enhancement of lateral root growth. Journal of Experimental Botany. 70(15). 3955–3967. 46 indexed citations

Taleski, Michael, et al.. (2019). CEP3 levels affect starvation-related growth responses of the primary root. Journal of Experimental Botany. 70(18). 4763–4774. 35 indexed citations

Taleski, Michael, Nijat Imin, & Michael A. Djordjevic. (2018). CEP peptide hormones: key players in orchestrating nitrogen-demand signalling, root nodulation, and lateral root development. Journal of Experimental Botany. 69(8). 1829–1836. 87 indexed citations

10.

Taleski, Michael, Nijat Imin, & Michael A. Djordjevic. (2016). New role for a CEP peptide and its receptor: complex control of lateral roots. Journal of Experimental Botany. 67(16). 4797–4799. 14 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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