Milan Tománek

477 total citations
9 papers, 415 citations indexed

About

Milan Tománek is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Genetics. According to data from OpenAlex, Milan Tománek has authored 9 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Milan Tománek's work include Reproductive Biology and Fertility (6 papers), Pluripotent Stem Cells Research (3 papers) and Renal and related cancers (2 papers). Milan Tománek is often cited by papers focused on Reproductive Biology and Fertility (6 papers), Pluripotent Stem Cells Research (3 papers) and Renal and related cancers (2 papers). Milan Tománek collaborates with scholars based in Czechia, France and Italy. Milan Tománek's co-authors include Pascal Mermillod, Laurent Meijer, R. Marchal, M. Terqui, Lucie Němcová, Eva Nagyová, Radek Procházka, Dieter Schams, Luděk Bartoš and George A. Bubenik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biology of Reproduction and Physiology & Behavior.

In The Last Decade

Milan Tománek

9 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Milan Tománek Czechia	8	323	199	159	58	44	9	415
A. Kidson Netherlands	7	273 0.8×	161 0.8×	136 0.9×	79 1.4×	66 1.5×	11	346
Katsuhiko Ohnuma Japan	13	368 1.1×	222 1.1×	189 1.2×	108 1.9×	72 1.6×	24	464
Sarah K. Bristol-Gould United States	7	449 1.4×	254 1.3×	284 1.8×	113 1.9×	49 1.1×	8	615
Jennifer P. Barfield United States	14	370 1.1×	337 1.7×	252 1.6×	93 1.6×	51 1.2×	34	622
Aleona Swegen Australia	12	245 0.8×	256 1.3×	109 0.7×	92 1.6×	102 2.3×	44	488
Carolina Maside Spain	15	462 1.4×	335 1.7×	190 1.2×	90 1.6×	77 1.8×	45	582
Joanna Kochan Poland	11	217 0.7×	186 0.9×	115 0.7×	52 0.9×	33 0.8×	45	316
A Fayomi United States	7	305 0.9×	357 1.8×	261 1.6×	119 2.1×	25 0.6×	17	617
Ana María Rosales‐Torres Mexico	14	101 0.3×	118 0.6×	140 0.9×	46 0.8×	61 1.4×	35	410
A.E.M. Horta Portugal	15	285 0.9×	210 1.1×	122 0.8×	86 1.5×	151 3.4×	27	507

Countries citing papers authored by Milan Tománek

Since Specialization

Citations

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

Fields of papers citing papers by Milan Tománek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Tománek

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Tománek. A scholar is included among the top collaborators of Milan Tománek 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 Milan Tománek. Milan Tománek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Bartoš, Luděk, Dieter Schams, George A. Bubenik, Radim Kotrba, & Milan Tománek. (2010). Relationship between rank and plasma testosterone and cortisol in red deer males (Cervus elaphus). Physiology & Behavior. 101(5). 628–634. 29 indexed citations

Matoušek, Josef, et al.. (2007). Degenerative action on mice and rat testes of polyspermine and its complexes with RNase A. Journal of Applied Biomedicine. 5(4). 195–207. 2 indexed citations

Tománek, Milan, et al.. (2007). Telomerase activity in pig granulosa cells proliferating and differentiating in vitro. Animal Reproduction Science. 104(2-4). 284–298. 18 indexed citations

Němcová, Lucie, et al.. (2007). Molecular Mechanisms of Insulin-Like Growth Factor 1 Promoted Synthesis and Retention of Hyaluronic Acid in Porcine Oocyte-Cumulus Complexes1. Biology of Reproduction. 76(6). 1016–1024. 38 indexed citations

Tománek, Milan, et al.. (2006). Immunohistochemical localization of proliferating cell nuclear antigen (PCNA) in the pig ovary.. SHILAP Revista de lepidopterología. 44(4). 269–74. 47 indexed citations

Wójtowicz, Anna K., et al.. (2005). Aromatic hydrocarbon receptor (AhR) in the porcine theca and granulosa cells: effect of TCDD, PCB 126 and PCB 153 on the expression of AhR.. PubMed. 39(4). 109–18. 16 indexed citations

Marchal, R., Milan Tománek, M. Terqui, & Pascal Mermillod. (2001). Effects of cell cycle dependent kinases inhibitor on nuclear and cytoplasmic maturation of porcine oocytes. Molecular Reproduction and Development. 60(1). 65–73. 79 indexed citations

Mermillod, Pascal, et al.. (2000). High developmental competence of cattle oocytes maintained at the germinal vesicle stage for 24 hours in culture by specific inhibition of MPF kinase activity. Molecular Reproduction and Development. 55(1). 89–95. 175 indexed citations

Tománek, Milan, et al.. (1998). Chemically enucleated mouse oocytes: ultrastructure and kinetics of histone H1 kinase activity. annales de biologie animale biochimie biophysique. 38(6). 643–651. 11 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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