Jan Provazník

1.6k total citations
35 papers, 941 citations indexed

About

Jan Provazník is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jan Provazník has authored 35 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jan Provazník's work include Insect and Arachnid Ecology and Behavior (6 papers), Neurobiology and Insect Physiology Research (5 papers) and RNA and protein synthesis mechanisms (5 papers). Jan Provazník is often cited by papers focused on Insect and Arachnid Ecology and Behavior (6 papers), Neurobiology and Insect Physiology Research (5 papers) and RNA and protein synthesis mechanisms (5 papers). Jan Provazník collaborates with scholars based in Germany, Czechia and United States. Jan Provazník's co-authors include David Doležel, Vlastimil Smýkal, Vladimı́r Beneš, Thilo Hackert, Margot Zöller, Magdaléna Hodková, Nayara Azevedo, Silvie Fexová, Marek Jindra and Keiko Takaki and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jan Provazník

29 papers receiving 937 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Provazník Germany 18 366 285 200 181 143 35 941
Jim Thurmond United States 11 923 2.5× 277 1.0× 293 1.5× 213 1.2× 224 1.6× 16 1.5k
Ditte S. Andersen France 14 518 1.4× 495 1.7× 143 0.7× 147 0.8× 77 0.5× 20 1.2k
Claudia Lohs United States 14 443 1.2× 110 0.4× 137 0.7× 563 3.1× 68 0.5× 14 1.2k
Tom Van Loy Belgium 23 575 1.6× 738 2.6× 386 1.9× 341 1.9× 60 0.4× 65 1.6k
Mirka Uhlířová Germany 17 777 2.1× 384 1.3× 200 1.0× 228 1.3× 81 0.6× 28 1.4k
Jessica Cande United States 15 499 1.4× 236 0.8× 306 1.5× 158 0.9× 238 1.7× 16 1.0k
Sérgio Russo Matioli Brazil 18 349 1.0× 108 0.4× 350 1.8× 130 0.7× 65 0.5× 45 957
Bingzhong Ren China 17 441 1.2× 244 0.9× 346 1.7× 368 2.0× 143 1.0× 74 1.1k
Lucie Kučerová Czechia 14 219 0.6× 187 0.7× 128 0.6× 301 1.7× 57 0.4× 31 647
Jorge Zamora Spain 14 738 2.0× 116 0.4× 479 2.4× 128 0.7× 185 1.3× 31 1.6k

Countries citing papers authored by Jan Provazník

Since Specialization
Citations

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

Fields of papers citing papers by Jan Provazník

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Provazník

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Provazník. A scholar is included among the top collaborators of Jan Provazník 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 Provazník. Jan Provazník 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.
Havelka, Miloš, Vojtěch Žárský, Feifei Xu, et al.. (2025). The expanded genome of Hexamita inflata, a free-living diplomonad. Scientific Data. 12(1). 192–192.
2.
Vopálenský, Václav, Tomáš Mašek, Jan Provazník, et al.. (2024). Loss of ADAR1 protein induces changes in small RNA landscape in hepatocytes. RNA. 30(9). 1164–1183. 1 indexed citations
3.
Dalíková, Martina, et al.. (2023). The Role of Repetitive Sequences in Repatterning of Major Ribosomal DNA Clusters in Lepidoptera. Genome Biology and Evolution. 15(6). 8 indexed citations
4.
Romanov, Natalie, Agnieszka Obarska-Kosińska, Anja Becker, et al.. (2023). Co-translational binding of importins to nascent proteins. Nature Communications. 14(1). 3418–3418. 18 indexed citations
5.
Baudin, Florence, Jan Provazník, Nayara Azevedo, et al.. (2022). Structural snapshots of La Crosse virus polymerase reveal the mechanisms underlying Peribunyaviridae replication and transcription. Nature Communications. 13(1). 902–902. 26 indexed citations
6.
Nguyen, Nhung H. A., Roman Špánek, Vladimı́r Beneš, et al.. (2022). Dissolved iron released from nanoscale zero-valent iron (nZVI) activates the defense system in bacterium Pseudomonas putida, leading to high tolerance to oxidative stress. Journal of Hazardous Materials. 439. 129627–129627. 10 indexed citations
7.
8.
Ságová‐Marečková, Markéta, Ivo Sedláček, Jan Provazník, et al.. (2020). Trebonia kvetii gen. nov., sp. nov., an acidophilic actinobacterium, and proposal of the new actinobacterial family Treboniaceae fam. nov.. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 70(9). 5106–5114. 3 indexed citations
9.
Kotwica‐Rolinska, Joanna, et al.. (2020). Functional analysis and localisation of a thyrotropin-releasing hormone-type neuropeptide (EFLa) in hemipteran insects. Insect Biochemistry and Molecular Biology. 122. 103376–103376. 7 indexed citations
10.
Kouba, Tomáš, Manikandan Karuppasamy, A. Pflug, et al.. (2020). A Structure-Based Model for the Complete Transcription Cycle of Influenza Polymerase. Cell. 181(4). 877–893.e21. 99 indexed citations
11.
Jagtap, Pravin Kumar Ankush, Bernd Simon, Jan Provazník, et al.. (2020). Pseudo-RNA-Binding Domains Mediate RNA Structure Specificity in Upstream of N-Ras. Cell Reports. 32(3). 107930–107930. 18 indexed citations
12.
Yoshido, Atsuo, Jindra Šíchová, Petr Nguyen, et al.. (2020). Evolution of multiple sex-chromosomes associated with dynamic genome reshuffling in Leptidea wood-white butterflies. Heredity. 125(3). 138–154. 32 indexed citations
13.
Kyuno, Daisuke, Nathalie Bauer, Martina Schnölzer, et al.. (2019). Distinct Origin of Claudin7 in Early Tumor Endosomes Affects Exosome Assembly. International Journal of Biological Sciences. 15(10). 2224–2239. 8 indexed citations
14.
Kotwica‐Rolinska, Joanna, et al.. (2019). CRISPR/Cas9 Genome Editing Introduction and Optimization in the Non-model Insect Pyrrhocoris apterus. Frontiers in Physiology. 10. 891–891. 32 indexed citations
15.
Zöller, Margot, et al.. (2018). Immunoregulatory Effects of Myeloid-Derived Suppressor Cell Exosomes in Mouse Model of Autoimmune Alopecia Areata. Frontiers in Immunology. 9. 1279–1279. 50 indexed citations
16.
Komuro, Yutaro, Jan Provazník, Jelena Pistolic, et al.. (2017). Transcriptional mapping of the primary somatosensory cortex upon sensory deprivation. GigaScience. 6(10). 1–6. 10 indexed citations
17.
Lee, How‐Jing, Ivo Šauman, Milena Damulewicz, et al.. (2016). Cryptochrome 2 mediates directional magnetoreception in cockroaches. Proceedings of the National Academy of Sciences. 113(6). 1660–1665. 85 indexed citations
18.
Perner, Jan, et al.. (2016). RNA-seq analyses of the midgut from blood- and serum-fed Ixodes ricinus ticks. Scientific Reports. 6(1). 36695–36695. 77 indexed citations
19.
Smýkal, Vlastimil, Adam Bajgar, Jan Provazník, et al.. (2013). Juvenile hormone signaling during reproduction and development of the linden bug, Pyrrhocoris apterus. Insect Biochemistry and Molecular Biology. 45. 69–76. 156 indexed citations
20.
Blažková, Hana, Jan Provazník, & Magdaléna Hodková. (2011). Novel roles for the corpus allatum hormone in the cost of sexual interactions in the linden bug Pyrrhocoris apterus. Journal of Insect Physiology. 57(4). 529–535. 6 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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