Věra Jonáková

1.5k total citations
67 papers, 1.2k citations indexed

About

Věra Jonáková is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Věra Jonáková has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Reproductive Medicine, 22 papers in Public Health, Environmental and Occupational Health and 19 papers in Molecular Biology. Recurrent topics in Věra Jonáková's work include Sperm and Testicular Function (38 papers), Reproductive Biology and Fertility (22 papers) and Hormonal and reproductive studies (10 papers). Věra Jonáková is often cited by papers focused on Sperm and Testicular Function (38 papers), Reproductive Biology and Fertility (22 papers) and Hormonal and reproductive studies (10 papers). Věra Jonáková collaborates with scholars based in Czechia, United States and Germany. Věra Jonáková's co-authors include Marie Tichá, D. Čechová, Edda Töpfer‐Petersen, Peter Šutovský, L Veselský, Pavla Postlerová, Juan J. Calvete, Michal Zigo, Líbia Sanz and Young‐Joo Yi and has published in prestigious journals such as Scientific Reports, FEBS Letters and Biology of Reproduction.

In The Last Decade

Věra Jonáková

66 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Věra Jonáková Czechia 22 794 501 405 240 133 67 1.2k
Mahnaz Ekhlasi‐Hundrieser Germany 19 783 1.0× 600 1.2× 245 0.6× 176 0.7× 94 0.7× 32 1.1k
Patricia V. Miranda Argentina 19 840 1.1× 633 1.3× 370 0.9× 181 0.8× 51 0.4× 34 1.2k
D. Čechová Czechia 17 386 0.5× 229 0.5× 311 0.8× 130 0.5× 89 0.7× 72 849
Débora J. Cohen Argentina 22 1.2k 1.5× 856 1.7× 396 1.0× 292 1.2× 84 0.6× 45 1.5k
Atsushi Asano Japan 21 654 0.8× 499 1.0× 431 1.1× 200 0.8× 52 0.4× 59 1.2k
V. Anne Westbrook United States 19 1.0k 1.3× 790 1.6× 645 1.6× 323 1.3× 77 0.6× 24 1.6k
Guillaume Tsikis France 21 740 0.9× 616 1.2× 532 1.3× 172 0.7× 83 0.6× 37 1.3k
Einko Topper United States 19 961 1.2× 783 1.6× 271 0.7× 414 1.7× 68 0.5× 30 1.3k
Kenneth L. Klotz United States 18 741 0.9× 488 1.0× 441 1.1× 297 1.2× 38 0.3× 21 1.1k
Esther E. Widgren United States 22 638 0.8× 373 0.7× 816 2.0× 295 1.2× 124 0.9× 32 1.6k

Countries citing papers authored by Věra Jonáková

Since Specialization
Citations

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

Fields of papers citing papers by Věra Jonáková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Věra Jonáková

This figure shows the co-authorship network connecting the top 25 collaborators of Věra Jonáková. A scholar is included among the top collaborators of Věra Jonáková 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 Věra Jonáková. Věra Jonáková 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.
Zigo, Michal, Pavla Postlerová, Věra Jonáková, Karl Kerns, & Peter Šutovský. (2019). Compartmentalization of the proteasome-interacting proteins during sperm capacitation. Scientific Reports. 9(1). 12583–12583. 27 indexed citations
2.
Postlerová, Pavla, et al.. (2017). Glycosidases in porcine follicular fluid and their effect on zona pellucida-AWN 1 spermadhesin interaction. Theriogenology. 100. 80–87. 1 indexed citations
3.
4.
Zigo, Michal, Věra Jonáková, Miroslav Šulc, & Pavla Postlerová. (2013). Characterization of sperm surface protein patterns of ejaculated and capacitated boar sperm, with the detection of ZP binding candidates. International Journal of Biological Macromolecules. 61. 322–328. 23 indexed citations
5.
Yi, Young‐Joo, Shawn Zimmerman, Gaurishankar Manandhar, et al.. (2011). Ubiquitin‐activating enzyme (UBA1) is required for sperm capacitation, acrosomal exocytosis and sperm–egg coat penetration during porcine fertilization. International Journal of Andrology. 35(2). 196–210. 37 indexed citations
6.
Postlerová, Pavla, et al.. (2011). Reproductive tissue expression and sperm localization of porcine beta-microseminoprotein. Cell and Tissue Research. 344(2). 341–353. 3 indexed citations
7.
Jonáková, Věra, et al.. (2009). Expression and localization of acrosin inhibitor in boar reproductive tract. Cell and Tissue Research. 338(2). 303–311. 13 indexed citations
8.
Yi, Young‐Joo, Gaurishankar Manandhar, Miriam Sutovsky, et al.. (2007). Ubiquitin C-Terminal Hydrolase-Activity Is Involved in Sperm Acrosomal Function and Anti-Polyspermy Defense During Porcine Fertilization1. Biology of Reproduction. 77(5). 780–793. 81 indexed citations
9.
Tichá, Marie, et al.. (2006). Saccharide-mediated interactions of boar sperm surface proteins with components of the porcine oviduct. Journal of Reproductive Immunology. 71(2). 112–125. 33 indexed citations
10.
Tichá, Marie, et al.. (2004). Characterization of human seminal plasma proteins homologous to boar AQN spermadhesins. Journal of Reproductive Immunology. 65(1). 33–46. 15 indexed citations
11.
Tichá, Marie, et al.. (2003). Proteinase inhibitors in aggregated forms of boar seminal plasma proteins. International Journal of Biological Macromolecules. 32(3-5). 99–107. 17 indexed citations
12.
Ryšlavá, Helena, et al.. (2002). Characterization of Proteins from Boar Prostate. American Journal of Reproductive Immunology. 48(4). 283–290. 18 indexed citations
13.
Tichá, Marie, et al.. (2001). Heparin-binding proteins of human seminal plasma homologous with boar spermadhesins. Journal of Reproductive Immunology. 51(2). 131–144. 15 indexed citations
14.
Trnka, Tomáš, et al.. (1999). Preparation of Biotinylated and FITC-Labelled Phosphorylcholine Poly(acrylamide) Derivatives and Their Application for Protein Ligand-Binding Studies. CHIMIA International Journal for Chemistry. 53(11). 528–528. 6 indexed citations
15.
16.
Veselský, L, et al.. (1997). Inhibition of bacterial and boar epididymal sperm immunogenicity by boar seminal immunosuppressive component in mice. Reproduction. 111(1). 135–141. 21 indexed citations
17.
Čechová, D., Věra Jonáková, L Veselský, & Edda Töpfer‐Petersen. (1994). Serine protease activity in boar seminal vesicles and its immunological similarity to sperm acrosin. Reproduction. 100(2). 461–467. 6 indexed citations
18.
Veselský, L, et al.. (1992). Binding of a 15 kDa glycoprotein from spermatozoa of boars to surface of zona pellucida and cumulus oophorus cells. Reproduction. 96(2). 593–602. 23 indexed citations
19.
Jonáková, Věra, Juan J. Calvete, Karlheinz Mann, et al.. (1992). The complete primary structure of three isoforms of a boar sperm‐associated acrosin inhibitor. FEBS Letters. 297(1-2). 147–150. 30 indexed citations
20.
Jonáková, Věra, Líbia Sanz, Juan J. Calvete, et al.. (1991). Isolation and biochemical characterization of a zona pellucida‐binding glycoprotein of boar spermatozoa. FEBS Letters. 280(1). 183–186. 54 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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