Martin Čertner

801 total citations
21 papers, 485 citations indexed

About

Martin Čertner is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Martin Čertner has authored 21 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 13 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Molecular Biology. Recurrent topics in Martin Čertner's work include Chromosomal and Genetic Variations (9 papers), Plant Reproductive Biology (8 papers) and Plant Taxonomy and Phylogenetics (8 papers). Martin Čertner is often cited by papers focused on Chromosomal and Genetic Variations (9 papers), Plant Reproductive Biology (8 papers) and Plant Taxonomy and Phylogenetics (8 papers). Martin Čertner collaborates with scholars based in Czechia, Austria and Slovakia. Martin Čertner's co-authors include Filip Kolář, Jan Suda, Peter Schönswetter, Brian C. Husband, Pavel Trávníček, Jan Ponert, Zuzana Chumová, Petr Koutecký, Jana Jersáková and Magdalena Lučanová and has published in prestigious journals such as New Phytologist, The Plant Journal and Evolution.

In The Last Decade

Martin Čertner

21 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Čertner Czechia 13 334 212 199 162 34 21 485
Michael Gruenstaeudl Germany 12 116 0.3× 188 0.9× 174 0.9× 92 0.6× 23 0.7× 28 330
Shih‐Ying Hwang Taiwan 6 196 0.6× 112 0.5× 182 0.9× 122 0.8× 31 0.9× 8 361
Radim J. Vašut Czechia 12 354 1.1× 366 1.7× 113 0.6× 63 0.4× 70 2.1× 32 489
Evangeline S. Ballerini United States 9 257 0.8× 179 0.8× 244 1.2× 116 0.7× 35 1.0× 14 420
T. M. Hardig United States 8 190 0.6× 246 1.2× 138 0.7× 95 0.6× 78 2.3× 11 396
Rose A. Marks United States 10 257 0.8× 135 0.6× 166 0.8× 65 0.4× 14 0.4× 16 395
Bastian Schiffthaler Sweden 12 172 0.5× 69 0.3× 238 1.2× 98 0.6× 31 0.9× 17 388
Tadashi Yamashiro Japan 12 119 0.4× 180 0.8× 110 0.6× 122 0.8× 69 2.0× 35 336
Milan Štech Czechia 10 389 1.2× 276 1.3× 134 0.7× 117 0.7× 70 2.1× 30 501
Boštjan Surina Slovenia 13 375 1.1× 337 1.6× 163 0.8× 158 1.0× 76 2.2× 46 586

Countries citing papers authored by Martin Čertner

Since Specialization
Citations

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

Fields of papers citing papers by Martin Čertner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Čertner

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Čertner. A scholar is included among the top collaborators of Martin Čertner 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 Martin Čertner. Martin Čertner 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.
Škaloud, Pavel, et al.. (2025). Large Genomes Are Associated With Greater Cell Size and Ecological Shift Towards More Nitrogen‐Rich and Higher‐Latitude Environments in Microalgae of the Genus Synura. Journal of Eukaryotic Microbiology. 72(4). e70026–e70026. 1 indexed citations
2.
Čertner, Martin, et al.. (2024). Natural Variation in Sexual Traits and Gene Expression between Selfing and Outcrossing Arabidopsis lyrata Suggests Sexual Selection at Work. Plant and Cell Physiology. 66(4). 581–595. 3 indexed citations
3.
Loureiro, João, Martin Čertner, Magdalena Lučanová, et al.. (2023). The Use of Flow Cytometry for Estimating Genome Sizes and DNA Ploidy Levels in Plants. Methods in molecular biology. 2672. 25–64. 12 indexed citations
4.
5.
Čertner, Martin, et al.. (2022). Genomic basis and phenotypic manifestation of (non‐)parallel serpentine adaptation in Arabidopsis arenosa. Evolution. 76(10). 2315–2331. 6 indexed citations
6.
Čertner, Martin, et al.. (2022). Alternating nuclear DNA content in chrysophytes provides evidence of their isomorphic haploid-diploid life cycle. Algal Research. 64. 102707–102707. 3 indexed citations
7.
Čertner, Martin, et al.. (2022). A unique diploid – triploid contact zone provides insights into the evolutionary mechanisms of cytotype coexistence in flowering rush (Butomus umbellatus). Perspectives in Plant Ecology Evolution and Systematics. 54. 125659–125659. 4 indexed citations
8.
Čertner, Martin, Magdalena Lučanová, Elwira Śliwińska, Filip Kolář, & João Loureiro. (2021). Plant material selection, collection, preservation, and storage for nuclear DNA content estimation. Cytometry Part A. 101(9). 737–748. 8 indexed citations
9.
Kron, Paul, João Loureiro, Sílvia Castro, & Martin Čertner. (2021). Flow cytometric analysis of pollen and spores: An overview of applications and methodology. Cytometry Part A. 99(4). 348–358. 14 indexed citations
10.
Chumová, Zuzana, Eliška Záveská, Jan Ponert, et al.. (2021). Repeat proliferation and partial endoreplication jointly shape the patterns of genome size evolution in orchids. The Plant Journal. 107(2). 511–524. 17 indexed citations
11.
12.
Čertner, Martin, et al.. (2020). Niche similarity in diploid‐autotetraploid contact zones of Arabidopsis arenosa across spatial scales. American Journal of Botany. 107(10). 1375–1388. 17 indexed citations
13.
Trávníček, Pavel, Martin Čertner, Jan Ponert, et al.. (2019). Diversity in genome size and GC content shows adaptive potential in orchids and is closely linked to partial endoreplication, plant life‐history traits and climatic conditions. New Phytologist. 224(4). 1642–1656. 56 indexed citations
14.
Čertner, Martin, et al.. (2019). Molecular phylogeny and evolution of phenotype in silica‐scaled chrysophyte genus Mallomonas. Journal of Phycology. 55(4). 912–923. 16 indexed citations
15.
16.
Čertner, Martin, Filip Kolář, Božo Frajman, Manuela Winkler, & Peter Schönswetter. (2019). Massive introgression weakens boundaries between a regionally endemic allopolyploid and a widespread congener. Perspectives in Plant Ecology Evolution and Systematics. 42. 125502–125502. 6 indexed citations
17.
18.
Kolář, Filip, Martin Čertner, Jan Suda, Peter Schönswetter, & Brian C. Husband. (2017). Mixed-Ploidy Species: Progress and Opportunities in Polyploid Research. Trends in Plant Science. 22(12). 1041–1055. 164 indexed citations
19.
Čertner, Martin, et al.. (2017). Evolutionary dynamics of mixed-ploidy populations in an annual herb: dispersal, local persistence and recurrent origins of polyploids. Annals of Botany. 120(2). 303–315. 54 indexed citations
20.
Čertner, Martin, Filip Kolář, Peter Schönswetter, & Božo Frajman. (2015). Does hybridization with a widespread congener threaten the long‐term persistence of the Eastern Alpine rare local endemic Knautia carinthiaca?. Ecology and Evolution. 5(19). 4263–4276. 17 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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