Ján Sedlák

1.8k total citations
57 papers, 1.5k citations indexed

About

Ján Sedlák is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Ján Sedlák has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 14 papers in Oncology and 7 papers in Organic Chemistry. Recurrent topics in Ján Sedlák's work include Drug Transport and Resistance Mechanisms (10 papers), Genomics, phytochemicals, and oxidative stress (9 papers) and Retinoids in leukemia and cellular processes (7 papers). Ján Sedlák is often cited by papers focused on Drug Transport and Resistance Mechanisms (10 papers), Genomics, phytochemicals, and oxidative stress (9 papers) and Retinoids in leukemia and cellular processes (7 papers). Ján Sedlák collaborates with scholars based in Slovakia, United States and Austria. Ján Sedlák's co-authors include Jana Jakubı́ková, Yongping Bao, Dana Cholujová, Peter Baláž, Richard Mithen, Zdena Sulová, Albert Breier, Ľuba Hunáková, J Duraj and Miroslav Barančı́k and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Journal of Agricultural and Food Chemistry.

In The Last Decade

Ján Sedlák

55 papers receiving 1.5k 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 Sedlák Slovakia 24 919 333 175 171 141 57 1.5k
Manuela Marra Italy 21 884 1.0× 243 0.7× 102 0.6× 192 1.1× 103 0.7× 47 1.5k
Chong Zhao China 22 667 0.7× 253 0.8× 102 0.6× 103 0.6× 100 0.7× 47 1.1k
Shanmin Yang United States 21 790 0.9× 168 0.5× 89 0.5× 179 1.0× 63 0.4× 54 1.6k
Matthew Brentnall United States 5 679 0.7× 180 0.5× 76 0.4× 139 0.8× 91 0.6× 7 1.2k
Hui Jing China 34 1.4k 1.5× 443 1.3× 163 0.9× 301 1.8× 73 0.5× 95 3.1k
Bryce Wei Quan Tan Singapore 9 843 0.9× 253 0.8× 89 0.5× 267 1.6× 53 0.4× 12 1.7k
Yanhui Yang China 27 1.0k 1.1× 297 0.9× 161 0.9× 402 2.4× 149 1.1× 143 2.2k
Eiichi Gohda Japan 28 1.0k 1.1× 330 1.0× 108 0.6× 136 0.8× 77 0.5× 96 3.0k
Narges Baluch Canada 11 1.1k 1.1× 475 1.4× 223 1.3× 236 1.4× 37 0.3× 17 2.2k
Emil Rudolf Czechia 27 725 0.8× 258 0.8× 181 1.0× 160 0.9× 38 0.3× 98 1.8k

Countries citing papers authored by Ján Sedlák

Since Specialization
Citations

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

Fields of papers citing papers by Ján Sedlák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ján Sedlák

This figure shows the co-authorship network connecting the top 25 collaborators of Ján Sedlák. A scholar is included among the top collaborators of Ján Sedlák 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 Sedlák. Ján Sedlák 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.
Kotouček, Pavel, Robert D. Enright, Ľuba Hunáková, et al.. (2023). Neurobiology of multiple myeloma and its therapeutical use – results of the pilot study with a control arm. Klinicka onkologie. 36(4). 287–299. 1 indexed citations
2.
Hudecová, Soňa, Lubomira Lencesova, Lucia Csáderová, et al.. (2014). Isoproterenol accelerates apoptosis through the over-expression of the sodium/calcium exchanger in HeLa cells. General Physiology and Biophysics. 32(3). 311–323. 3 indexed citations
3.
Sedlák, Ján, et al.. (2013). Segmentation of surface EMG signals. International Conference on Applied Electronics. 1–4. 3 indexed citations
4.
Gibalová, Lenka, Mário Šereš, Peter Ditte, et al.. (2012). P-glycoprotein depresses cisplatin sensitivity in L1210 cells by inhibiting cisplatin-induced caspase-3 activation. Toxicology in Vitro. 26(3). 435–444. 50 indexed citations
5.
Cholujová, Dana, Jana Jakubı́ková, Ľuba Hunáková, et al.. (2012). MGN-3 arabinoxylan rice bran modulates innate immunity in multiple myeloma patients. Cancer Immunology Immunotherapy. 62(3). 437–445. 49 indexed citations
6.
Jakubı́ková, Jana, Sophia Adamia, Maria Kost‐Alimova, et al.. (2011). Lenalidomide targets clonogenic side population in multiple myeloma: pathophysiologic and clinical implications. Blood. 117(17). 4409–4419. 122 indexed citations
7.
Bodo, Juraj, Ján Sedlák, Jaroslaw P. Maciejewski, Alexandru Almasan, & Eric D. Hsi. (2011). HDAC inhibitors potentiate the apoptotic effect of enzastaurin in lymphoma cells. APOPTOSIS. 16(9). 914–923. 11 indexed citations
8.
Kopáček, Juraj, Karol Ondriaš, Ján Sedlák, et al.. (2009). Type 2 IP3 receptors are involved in uranyl acetate induced apoptosis in HEK 293 cells. Toxicology. 262(1). 73–79. 18 indexed citations
9.
Kudela, Pavol, Susanne Paukner, Ulrike Beate Mayr, et al.. (2008). Effective gene transfer to melanoma cells using bacterial ghosts. Cancer Letters. 262(1). 54–63. 31 indexed citations
10.
Jurkovičová, Dana, Ľubica Lacinová, Juraj Kopáček, et al.. (2008). Hypoxia Differently Modulates Gene Expression of Inositol 1,4,5‐Trisphosphate Receptors in Mouse Kidney and HEK 293 Cell Line. Annals of the New York Academy of Sciences. 1148(1). 421–427. 14 indexed citations
11.
Barančı́k, Miroslav, et al.. (2006). LY294,002, a specific inhibitor of PI3K/Akt kinase pathway, antagonizes P-glycoprotein-mediated multidrug resistance. European Journal of Pharmaceutical Sciences. 29(5). 426–434. 73 indexed citations
12.
Jakubı́ková, Jana, Yongping Bao, & Ján Sedlák. (2005). Isothiocyanates induce cell cycle arrest, apoptosis and mitochondrial potential depolarization in HL-60 and multidrug-resistant cell lines.. PubMed. 25(5). 3375–86. 97 indexed citations
13.
Kudela, Pavol, Susanne Paukner, Ulrike Beate Mayr, et al.. (2005). Bacterial Ghosts as Novel Efficient Targeting Vehicles for DNA Delivery to the Human Monocyte-Derived Dendritic Cells. Journal of Immunotherapy. 28(2). 136–143. 46 indexed citations
14.
Slameňová, Darina, Eva Horváthová, Alena Gábelová, et al.. (2003). Molecular and cellular influences of butylated hydroxyanisole on Chinese hamster V79 cells treated with N‐methyl‐N′‐nitro‐N‐nitrosoguanidine: Antimutagenicity of butylated hydroxyanisole. Environmental and Molecular Mutagenesis. 41(1). 28–36. 12 indexed citations
15.
Szekeres, Thomas, Ján Sedlák, & Ladislav Novotný. (2002). Benzamide Riboside, a Recent Inhibitor of Inosine 5-Monophosphate Dehydrogenase Induces Transferrin Receptors in Cancer Cells. Current Medicinal Chemistry. 9(7). 759–764. 24 indexed citations
16.
Castillo‐Tong, Dan Cacsire, K. Czerwenka, Ján Sedlák, et al.. (1999). Association of in vitro invasiveness and gene expression of estrogen receptor, progesterone receptor, pS2 and plasminogen activator inhibitor‐1 in human breast cancer cell lines. Breast Cancer Research and Treatment. 56(1). 91–97. 46 indexed citations
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Hunáková, Ľuba, et al.. (1994). Tyrosine kinase inhibitor-induced differentiation of K-562 cells: alterations of cell cycle and cell surface phenotype. Cancer Letters. 81(1). 81–87. 16 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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