Vladimı́r Baran

926 total citations
37 papers, 761 citations indexed

About

Vladimı́r Baran is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Cell Biology. According to data from OpenAlex, Vladimı́r Baran has authored 37 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Public Health, Environmental and Occupational Health, 21 papers in Molecular Biology and 12 papers in Cell Biology. Recurrent topics in Vladimı́r Baran's work include Reproductive Biology and Fertility (26 papers), Microtubule and mitosis dynamics (11 papers) and Pluripotent Stem Cells Research (7 papers). Vladimı́r Baran is often cited by papers focused on Reproductive Biology and Fertility (26 papers), Microtubule and mitosis dynamics (11 papers) and Pluripotent Stem Cells Research (7 papers). Vladimı́r Baran collaborates with scholars based in Slovakia, Czechia and France. Vladimı́r Baran's co-authors include P Solc, Jan Motlík, Richard M. Schultz, Michal Kubelka, Juraj Koppel, J.E. Fléchon, P Rehák, Pavol Rehák, Dušan Fabián and Jarmila Veselá and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Developmental Biology.

In The Last Decade

Vladimı́r Baran

35 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladimı́r Baran Slovakia 15 540 442 267 118 97 37 761
P Solc Czechia 16 622 1.2× 510 1.2× 436 1.6× 75 0.6× 119 1.2× 21 858
Henri de Pennart France 6 444 0.8× 530 1.2× 306 1.1× 92 0.8× 179 1.8× 7 712
Jibak Lee Japan 17 850 1.6× 489 1.1× 399 1.5× 155 1.3× 220 2.3× 35 1.1k
Mariko Nagayoshi Japan 6 346 0.6× 256 0.6× 143 0.5× 74 0.6× 94 1.0× 9 506
Shu‐Yan Ji China 16 692 1.3× 335 0.8× 82 0.3× 99 0.8× 104 1.1× 20 872
Mark Levasseur United Kingdom 11 607 1.1× 505 1.1× 533 2.0× 83 0.7× 135 1.4× 12 862
Qing-Yuan Sun China 9 276 0.5× 276 0.6× 152 0.6× 46 0.4× 86 0.9× 11 462
Tie‐Gang Meng China 15 481 0.9× 288 0.7× 76 0.3× 112 0.9× 121 1.2× 56 717
Pascale Rassinier France 7 592 1.1× 700 1.6× 715 2.7× 55 0.5× 97 1.0× 8 1.0k
Manami Amanai United States 9 357 0.7× 368 0.8× 103 0.4× 98 0.8× 205 2.1× 9 590

Countries citing papers authored by Vladimı́r Baran

Since Specialization
Citations

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

Fields of papers citing papers by Vladimı́r Baran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimı́r Baran

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimı́r Baran. A scholar is included among the top collaborators of Vladimı́r Baran 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 Vladimı́r Baran. Vladimı́r Baran 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.
Šefčíková, Zuzana, et al.. (2025). The consumption of monosodium glutamate during the periconceptional period can impair preimplantation embryo development. Reproductive Toxicology. 137. 109014–109014. 1 indexed citations
2.
Baran, Vladimı́r, Štefan Číkoš, & Dušan Fabián. (2025). The Consequences of DNA Damage in the Early Embryo Are Important for Practical Procedures in Assisted Reproduction. International Journal of Molecular Sciences. 26(20). 10031–10031.
3.
Knoblochová, Lucie, et al.. (2023). CHK1‐CDC25A‐CDK1 regulate cell cycle progression and protect genome integrity in early mouse embryos. EMBO Reports. 24(10). e56530–e56530. 13 indexed citations
4.
Baran, Vladimı́r, et al.. (2023). Checkpoint Kinase 1 Is a Key Signal Transducer of DNA Damage in the Early Mammalian Cleavage Embryo. International Journal of Molecular Sciences. 24(7). 6778–6778. 3 indexed citations
5.
Baran, Vladimı́r, et al.. (2015). PLK1 regulates spindle formation kinetics and APC/C activation in mouse zygote. Zygote. 24(3). 338–345. 14 indexed citations
6.
Rehák, Pavol, et al.. (2015). Aurora kinase A is essential for correct chromosome segregation in mouse zygote. Zygote. 24(3). 326–337. 14 indexed citations
7.
Solc, P, Tomoya S. Kitajima, Shuhei Yoshida, et al.. (2015). Multiple Requirements of PLK1 during Mouse Oocyte Maturation. PLoS ONE. 10(2). e0116783–e0116783. 83 indexed citations
8.
Solc, P, et al.. (2008). CDC25A phosphatase controls meiosis I progression in mouse oocytes. Developmental Biology. 317(1). 260–269. 63 indexed citations
9.
Solc, P, et al.. (2008). Aurora kinase A controls meiosis I progression in mouse oocytes. Cell Cycle. 7(15). 2368–2376. 84 indexed citations
10.
Kalous, Jaroslav, P Solc, Vladimı́r Baran, et al.. (2006). PKB/AKT is involved in resumption of meiosis in mouse oocytes. Biology of the Cell. 98(2). 111–123. 86 indexed citations
11.
Baran, Vladimı́r, A. Pavlok, Bolette Bjerregaard, et al.. (2004). Immunolocalization of Upstream Binding Factor and Pocket Protein p130 During Final Stages of Bovine Oocyte Growth1. Biology of Reproduction. 70(4). 877–886. 18 indexed citations
12.
Fabián, Dušan, et al.. (2003). Inhibitory effect of IGF-I on induced apoptosis in mouse preimplantation embryos cultured in vitro. Theriogenology. 61(4). 745–755. 59 indexed citations
13.
Baran, Vladimı́r, Xavier Vignon, D. LeBourhis, Jean Paul J. P. Renard, & J.E. Fléchon. (2002). Nucleolar Changes in Bovine Nucleotransferred Embryos1. Biology of Reproduction. 66(2). 534–543. 13 indexed citations
14.
Koppel, Juraj, et al.. (1999). Cellular and subcellular localization of stathmin during oocyte and preimplantation embryo development. Molecular Reproduction and Development. 53(3). 306–317. 10 indexed citations
15.
Laurinčík, Jozef, P. Hyttel, Vladimı́r Baran, et al.. (1998). A detailed analysis of pronucleus development in bovine zygotes in vitro: Cell-cycle chronology and ultrastructure. Molecular Reproduction and Development. 50(2). 192–199. 24 indexed citations
16.
Rehák, P, et al.. (1998). Preimplantation embryo development in ICR mice after streptozotocin treatment.. PubMed. 47(1). 67–72. 2 indexed citations
17.
Veselá, Jarmila, et al.. (1995). Effects of impaired insulin secretion on the fertilization of mouse oocytes. Human Reproduction. 10(12). 3233–3236. 5 indexed citations
18.
Baran, Vladimı́r, Jarmila Veselá, P Rehák, Juraj Koppel, & J.E. Fléchon. (1995). Localization of fibrillarin and nucleolin in nucleoli of mouse preimplantation embryos. Molecular Reproduction and Development. 40(3). 305–310. 39 indexed citations
19.
Veselá, Jarmila, P Rehák, Vladimı́r Baran, & Juraj Koppel. (1994). Effects of healthy pseudopregnant milieu on development of two-cell subdiabetic mouse embryos. Reproduction. 100(2). 561–565. 10 indexed citations
20.
Baran, Vladimı́r, Jarmila Veselá, & Juraj Koppel. (1993). Immunolocalization of DNA in preimplantation mouse embryos.. PubMed. 39(2). 100–5. 5 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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