Ján Danko

3.0k total citations
169 papers, 2.1k citations indexed

About

Ján Danko is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Ján Danko has authored 169 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 28 papers in Pediatrics, Perinatology and Child Health and 27 papers in Obstetrics and Gynecology. Recurrent topics in Ján Danko's work include Pregnancy and preeclampsia studies (18 papers), Epigenetics and DNA Methylation (14 papers) and Cervical Cancer and HPV Research (9 papers). Ján Danko is often cited by papers focused on Pregnancy and preeclampsia studies (18 papers), Epigenetics and DNA Methylation (14 papers) and Cervical Cancer and HPV Research (9 papers). Ján Danko collaborates with scholars based in Slovakia, Czechia and Qatar. Ján Danko's co-authors include Pavol Žúbor, Peter Kubatka, Karol Kajo, Dietrich Büsselberg, Zora Lasabová, Erik Kúdela, Kamil Biringer, Taeg Kyu Kwon, Eva Petrovová and Ľudmila Tkáčiková and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Fertility and Sterility.

In The Last Decade

Ján Danko

158 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ján Danko Slovakia 24 680 318 217 217 211 169 2.1k
Xiao Lu China 26 1.1k 1.6× 257 0.8× 198 0.9× 178 0.8× 254 1.2× 123 2.5k
Junpeng Wang China 28 819 1.2× 271 0.9× 285 1.3× 214 1.0× 319 1.5× 102 2.7k
Kun Yu China 26 668 1.0× 217 0.7× 119 0.5× 200 0.9× 145 0.7× 86 2.2k
Madhu Khullar India 32 1.2k 1.7× 427 1.3× 279 1.3× 233 1.1× 343 1.6× 146 3.2k
Jun Lü China 28 961 1.4× 255 0.8× 277 1.3× 384 1.8× 206 1.0× 156 2.6k
Wen Lu China 24 684 1.0× 224 0.7× 129 0.6× 176 0.8× 154 0.7× 102 2.2k
Norfilza Mohd Mokhtar Malaysia 27 1.1k 1.6× 346 1.1× 166 0.8× 429 2.0× 319 1.5× 109 2.5k
Maria Lambropoulou Greece 24 449 0.7× 152 0.5× 220 1.0× 244 1.1× 223 1.1× 182 2.0k
Sun‐Joo Lee South Korea 24 502 0.7× 127 0.4× 156 0.7× 222 1.0× 176 0.8× 65 1.9k
Hui Jiang China 24 916 1.3× 218 0.7× 83 0.4× 238 1.1× 292 1.4× 110 2.3k

Countries citing papers authored by Ján Danko

Since Specialization
Citations

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

Fields of papers citing papers by Ján Danko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ján Danko

This figure shows the co-authorship network connecting the top 25 collaborators of Ján Danko. A scholar is included among the top collaborators of Ján Danko 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 Ján Danko. Ján Danko 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.
Vdoviaková, Katarína, et al.. (2024). The Combination of Chitosan-Based Biomaterial and Cellular Therapy for Successful Treatment of Diabetic Foot—Pilot Study. International Journal of Molecular Sciences. 25(15). 8388–8388. 3 indexed citations
2.
Danko, Ján, et al.. (2023). A Chitosan-Based Biomaterial Combined with Mesenchymal Stem Cell-Conditioned Medium for Wound Healing and Skin Regeneration. International Journal of Molecular Sciences. 24(22). 16080–16080. 5 indexed citations
3.
Medvecký, Ľubomír, et al.. (2023). Long-Bone-Regeneration Process in a Sheep Animal Model, Using Hydroxyapatite Ceramics Prepared by Tape-Casting Method. Bioengineering. 10(3). 291–291. 4 indexed citations
4.
Massányi, Péter, Norbert Lukáč, Martin Massányi, et al.. (2020). Effects of Xenobiotics on Animal Reproduction in Vivo: Microscopical Examination. Microscopy and Microanalysis. 26(S1). 63–63. 5 indexed citations
5.
Grendár, Marian, Dušan Loderer, Bálint Nagy, et al.. (2019). Uncertainty of fetal fraction determination in Non-Invasive Prenatal Screening by highly polymorphic SNPs. Journal of Biotechnology. 299. 32–36. 3 indexed citations
6.
Samec, Marek, Alena Líšková, Lenka Koklesová, et al.. (2019). Fluctuations of Histone Chemical Modifications in Breast, Prostate, and Colorectal Cancer: An Implication of Phytochemicals as Defenders of Chromatin Equilibrium. Biomolecules. 9(12). 829–829. 19 indexed citations
7.
Giretová, Mária, Ľubomír Medvecký, Eva Petrovová, et al.. (2019). Effects of Cell Seeding Methods on Chondrogenic Differentiation of Rat Mesenchymal Stem Cells in Polyhydroxybutyrate/Chitosan Scaffolds. SHILAP Revista de lepidopterología. 63(1). 6–16. 2 indexed citations
8.
Kúdela, Erik, et al.. (2018). Mullerian adenosarcomas of the uterine cervix with sarcomatous overgrowth. Current Problems in Cancer. 43(4). 371–376. 2 indexed citations
9.
Žúbor, Pavol, Karol Kajo, Marian Grendár, et al.. (2017). Impact of RASSF1A gene methylation on the metastatic axillary nodal status in breast cancer patients. Oncology Letters. 14(1). 758–766. 8 indexed citations
10.
Kapinová, Andrea, Patrik Štefanička, Peter Kubatka, et al.. (2017). Are plant-based functional foods better choice against cancer than single phytochemicals? A critical review of current breast cancer research. Biomedicine & Pharmacotherapy. 96. 1465–1477. 97 indexed citations
11.
Baška, Tibor, et al.. (2015). [Knowledge about cervical cancer among respondents in Slovakia and the Czech Republic - Aurora Project].. PubMed. 80(3). 181–8. 1 indexed citations
12.
Biringer, Kamil, et al.. (2014). [Breech presentation - an analysis of results in one perinatal center].. PubMed. 79(2). 107–14. 1 indexed citations
13.
14.
Danko, Ján, et al.. (2012). Variations in the vascular anatomy of the rabbit kidney and its experimental significance.. 11(1). 25–33. 1 indexed citations
15.
Massányi, Péter, et al.. (2010). Comparison of semen characteristics and histological structure of the testis from transgenic and non-transgenic rabbits. World Rabbit Science. 17(4). 1 indexed citations
16.
Massányi, Péter, R. Toman, J. Pivko, et al.. (2005). Ultrastructural Changes of Ovaries in Rabbits Following Cadmium Administration. Acta Veterinaria Brno. 74(1). 29–35. 24 indexed citations
17.
Laciaková, A., et al.. (2004). Influence of zearalenone on plasma catecholamines in rabbits. Bulletin of the Veterinary Institute in Pulawy. 48(2).
18.
Danko, Ján, et al.. (2002). Functional Morphology of Adrenergic Innervation of Guinea Pig Spleen. Acta Veterinaria Brno. 71(2). 159–162. 3 indexed citations
19.
Danko, Ján, et al.. (2001). Vasculature of Testis, epididymis and ductus deferens of Rabbit. The Arteries.. Acta Veterinaria Brno. 70(1). 3–7. 1 indexed citations
20.
Danko, Ján. (1997). Changes in Ovarian Mass, Size and Number of Follicles in Postparturient Ewes. Acta Veterinaria Brno. 66(2). 71–74. 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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