Natália Martínková

2.6k total citations
65 papers, 1.6k citations indexed

About

Natália Martínková is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Natália Martínková has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 28 papers in Ecology, Evolution, Behavior and Systematics and 20 papers in Ecology. Recurrent topics in Natália Martínková's work include Bat Biology and Ecology Studies (24 papers), Yersinia bacterium, plague, ectoparasites research (16 papers) and Viral Infections and Vectors (15 papers). Natália Martínková is often cited by papers focused on Bat Biology and Ecology Studies (24 papers), Yersinia bacterium, plague, ectoparasites research (16 papers) and Viral Infections and Vectors (15 papers). Natália Martínková collaborates with scholars based in Czechia, Slovakia and Russia. Natália Martínková's co-authors include Jiří Pikula, Jeremy B. Searle, Hana Banďouchová, Jan Zukal, Jan Zima, Tomáš Bartonička, Veronika Kováčová, Maarit Jaarola, Jiří Brichta and Miroslav Kolařík and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Natália Martínková

64 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natália Martínková Czechia 24 828 691 685 382 275 65 1.6k
Émilie Lecompte France 21 624 0.8× 630 0.9× 499 0.7× 688 1.8× 396 1.4× 45 2.0k
Jessica E. Light United States 23 537 0.6× 617 0.9× 450 0.7× 294 0.8× 201 0.7× 74 1.6k
Violaine Nicolas France 25 822 1.0× 1.0k 1.5× 497 0.7× 182 0.5× 743 2.7× 119 2.0k
Manuel Ruiz‐García Colombia 22 712 0.9× 915 1.3× 509 0.7× 109 0.3× 578 2.1× 122 2.1k
Wiesław Bogdanowicz Poland 26 464 0.6× 928 1.3× 1.1k 1.6× 93 0.2× 255 0.9× 81 1.7k
Petr Benda Czechia 22 451 0.5× 587 0.8× 1.2k 1.8× 200 0.5× 335 1.2× 90 1.5k
Jerry W. Dragoo United States 18 341 0.4× 611 0.9× 246 0.4× 106 0.3× 354 1.3× 35 1.2k
Pavel Hulva Czechia 21 473 0.6× 527 0.8× 586 0.9× 129 0.3× 166 0.6× 57 1.1k
Victor Waddell United States 15 490 0.6× 511 0.7× 401 0.6× 82 0.2× 668 2.4× 19 1.5k
John P. Dumbacher United States 24 498 0.6× 610 0.9× 531 0.8× 107 0.3× 147 0.5× 53 1.6k

Countries citing papers authored by Natália Martínková

Since Specialization
Citations

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

Fields of papers citing papers by Natália Martínková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natália Martínková

This figure shows the co-authorship network connecting the top 25 collaborators of Natália Martínková. A scholar is included among the top collaborators of Natália Martínková 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 Natália Martínková. Natália Martínková 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.
2.
Baird, Stuart J. E., et al.. (2022). Genome polarisation for detecting barriers to geneflow. Methods in Ecology and Evolution. 14(2). 512–528. 6 indexed citations
3.
Vozdová, Miluše, Svatava Kubı́čková, Natália Martínková, et al.. (2021). Satellite DNA in Neotropical Deer Species. Genes. 12(1). 123–123. 12 indexed citations
4.
Davy, Christina M., Michael E. Donaldson, Hana Banďouchová, et al.. (2020). Transcriptional host–pathogen responses of Pseudogymnoascus destructans and three species of bats with white-nose syndrome. Virulence. 11(1). 781–794. 30 indexed citations
5.
Vozdová, Miluše, Svatava Kubı́čková, Halina Černohorská, et al.. (2020). Sequence Analysis and FISH Mapping of Four Satellite DNA Families among Cervidae. Genes. 11(5). 584–584. 5 indexed citations
6.
Martínková, Natália, Jiří Pikula, Jan Zukal, et al.. (2018). Hibernation temperature-dependentPseudogymnoascus destructansinfection intensity in Palearctic bats. Virulence. 9(1). 1734–1750. 24 indexed citations
7.
Kováčová, Veronika, Jan Zukal, Hana Banďouchová, et al.. (2018). White-nose syndrome detected in bats over an extensive area of Russia. BMC Veterinary Research. 14(1). 192–192. 17 indexed citations
8.
Kolařík, Miroslav, Hana Banďouchová, Tomáš Bartonička, et al.. (2017). Recovery of a phytopathogenic bacterium Lonsdalea quercina from a lesser horseshoe bat in Moravian karst, Czech Republic. Forest Pathology. 48(1). 2 indexed citations
9.
Pikula, Jiří, Sybill K. Amelon, Hana Banďouchová, et al.. (2017). White-nose syndrome pathology grading in Nearctic and Palearctic bats. PLoS ONE. 12(8). e0180435–e0180435. 42 indexed citations
10.
Zukal, Jan, Hana Banďouchová, Jiří Brichta, et al.. (2016). White-nose syndrome without borders: Pseudogymnoascus destructans infection tolerated in Europe and Palearctic Asia but not in North America. Scientific Reports. 6(1). 19829–19829. 93 indexed citations
11.
Pečnerová, Patrícia, et al.. (2015). A Skull Might Lie: Modeling Ancestral Ranges and Diet from Genes and Shape of Tree Squirrels. Systematic Biology. 64(6). 1074–1088. 14 indexed citations
12.
Zukal, Jan, Hana Banďouchová, Tomáš Bartonička, et al.. (2014). White-Nose Syndrome Fungus: A Generalist Pathogen of Hibernating Bats. PLoS ONE. 9(5). e97224–e97224. 68 indexed citations
13.
Martínková, Natália, et al.. (2012). Multilocus phylogeny of arvicoline voles (Arvicolini, Rodentia) shows small tree terrace size. Folia Zoologica. 61(3-4). 254–267. 47 indexed citations
14.
Bayerlová, Michaela, et al.. (2012). Complex patterns of host switching in New World arenaviruses. Molecular Ecology. 21(16). 4137–4150. 34 indexed citations
15.
Gauffre, Bertrand, et al.. (2009). Comprehensive cross‐amplification of microsatellite multiplex sets across the rodent genus Microtus. Molecular Ecology Resources. 9(3). 974–978. 7 indexed citations
16.
Rodríguez, Fernando, Sabine E. Hammer, Trinidad Pérez, et al.. (2008). Cytochrome b Phylogeography of Chamois (Rupicapra spp.). Population Contractions, Expansions and Hybridizations Governed the Diversification of the Genus. Journal of Heredity. 100(1). 47–55. 33 indexed citations
17.
Martínková, Natália, Jan Zima, Maarit Jaarola, Miloš Macholán, & Friederike Spitzenberger. (2007). The origin and phylogenetic relationships of Microtus bavaricus based on karyotype and mitochondrial DNA sequences. Folia Zoologica. 56(1). 39–49. 25 indexed citations
18.
Martínková, Natália, Robbie A. McDonald, & Jeremy B. Searle. (2007). Stoats (Mustela erminea) provide evidence of natural overland colonization of Ireland. Proceedings of the Royal Society B Biological Sciences. 274(1616). 1387–1393. 47 indexed citations
19.
Martínková, Natália, et al.. (2003). The fragmented distribution range of Microtus tatricus and its evolutionary implications. Folia Zoologica. 52(1). 11–22. 13 indexed citations
20.

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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