Táňa Macháčková

907 total citations
27 papers, 544 citations indexed

About

Táňa Macháčková is a scholar working on Cancer Research, Molecular Biology and Surgery. According to data from OpenAlex, Táňa Macháčková has authored 27 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cancer Research, 16 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Táňa Macháčková's work include MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (13 papers) and Circular RNAs in diseases (7 papers). Táňa Macháčková is often cited by papers focused on MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (13 papers) and Circular RNAs in diseases (7 papers). Táňa Macháčková collaborates with scholars based in Czechia, Austria and Slovakia. Táňa Macháčková's co-authors include Ondřej Slabý, Marek Svoboda, Michal Staník, Jan Doležel, Dalibor Pacík, Michal Fedorko, Robert Iliev, Petra Vychytilova‐Faltejskova, Hana Mlčochová and Lenka Radová and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Táňa Macháčková

24 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Táňa Macháčková Czechia 13 391 335 93 52 51 27 544
Linda Vidarsdóttir Sweden 8 489 1.3× 358 1.1× 113 1.2× 24 0.5× 128 2.5× 14 666
Senthilkumar Damodaran United States 10 292 0.7× 227 0.7× 85 0.9× 42 0.8× 106 2.1× 17 548
Alayne Brunner United States 10 573 1.5× 359 1.1× 146 1.6× 21 0.4× 92 1.8× 16 828
Hana Mlčochová United Kingdom 11 803 2.1× 291 0.9× 73 0.8× 88 1.7× 57 1.1× 13 1.2k
Junpei Kawauchi Japan 10 685 1.8× 670 2.0× 72 0.8× 39 0.8× 94 1.8× 16 879
Patricia F. van Kuijk Netherlands 10 580 1.5× 450 1.3× 82 0.9× 35 0.7× 60 1.2× 11 769
Saeed Eshtad Sweden 3 384 1.0× 325 1.0× 74 0.8× 35 0.7× 135 2.6× 4 582
Lee Lichtenstein United States 5 310 0.8× 336 1.0× 121 1.3× 46 0.9× 129 2.5× 8 571
Shengrong Lin China 9 711 1.8× 187 0.6× 65 0.7× 17 0.3× 56 1.1× 18 845

Countries citing papers authored by Táňa Macháčková

Since Specialization
Citations

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

Fields of papers citing papers by Táňa Macháčková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Táňa Macháčková

This figure shows the co-authorship network connecting the top 25 collaborators of Táňa Macháčková. A scholar is included among the top collaborators of Táňa Macháčková 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 Táňa Macháčková. Táňa Macháčková 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.
2.
Macháčková, Táňa, Martin Pešl, Jana Svačinová, et al.. (2024). Identification of Plasmatic MicroRNA-206 as New Predictor of Early Recurrence of Atrial Fibrillation After Catheter Ablation Using Next-generation Sequencing. Molecular Diagnosis & Therapy. 28(3). 301–310. 2 indexed citations
3.
Vychytilova‐Faltejskova, Petra, et al.. (2024). Strategies for labelling of exogenous and endogenous extracellular vesicles and their application for in vitro and in vivo functional studies. Cell Communication and Signaling. 22(1). 171–171. 21 indexed citations
4.
Radová, Lenka, Radim Lipina, Martin Smrčka, et al.. (2023). Abstract 3765: Long non-coding RNAs are dysregulated in glioblastoma and LINC00634 may affect the diffuse growth of U251-derived tumors in vivo. Cancer Research. 83(7_Supplement). 3765–3765. 1 indexed citations
5.
Macháčková, Táňa, Martin Pešl, Karolína Trachtová, et al.. (2022). microRNAs as the predictors for atrial fibrillation recurrence after catheter ablation: next-generation sequencing study. EP Europace. 24(Supplement_1).
6.
Dušátková, Lenka, et al.. (2021). The food web in a subterranean ecosystem is driven by intraguild predation. Scientific Reports. 11(1). 4994–4994. 19 indexed citations
7.
8.
Novák, Jan, Táňa Macháčková, Jan Krejčí, Julie Bienertová Vašků, & Ondřej Slabý. (2021). MicroRNAs as theranostic markers in cardiac allograft transplantation: from murine models to clinical practice. Theranostics. 11(12). 6058–6073. 11 indexed citations
9.
Pekár, Stano, Lenka Dušátková, Táňa Macháčková, et al.. (2021). Gut-content analysis in four species, combined with comparative analysis of trophic traits, suggests an araneophagous habit for the entire family Palpimanidae (Araneae). Organisms Diversity & Evolution. 22(1). 265–274. 3 indexed citations
10.
Macháčková, Táňa, Karolína Trachtová, Vladimír Procházka, et al.. (2020). Tumor microRNAs Identified by Small RNA Sequencing as Potential Response Predictors in Locally Advanced Rectal Cancer Patients Treated With Neoadjuvant Chemoradiotherapy. Cancer Genomics & Proteomics. 17(3). 249–257. 17 indexed citations
11.
Vychytilova‐Faltejskova, Petra, Alena Svobodová Kovaříková, Vladimír Procházka, et al.. (2019). MicroRNA Biogenesis Pathway Genes Are Deregulated in Colorectal Cancer. International Journal of Molecular Sciences. 20(18). 4460–4460. 15 indexed citations
12.
Šáňa, Jiří, Táňa Macháčková, Lenka Radová, et al.. (2019). Cerebrospinal Fluid MicroRNA Signatures as Diagnostic Biomarkers in Brain Tumors. Cancers. 11(10). 1546–1546. 54 indexed citations
13.
14.
Šáňa, Jiří, et al.. (2019). Abstract 1806: Global analysis and validation of miRNA levels in cerebrospinal fluid of brain tumor patients. Cancer Research. 79(13_Supplement). 1806–1806. 1 indexed citations
15.
Šáňa, Jiří, Pavel Fadrus, Táňa Macháčková, et al.. (2018). MicroRNA isolation and quantification in cerebrospinal fluid: A comparative methodical study. PLoS ONE. 13(12). e0208580–e0208580. 18 indexed citations
16.
Vychytilova‐Faltejskova, Petra, Táňa Macháčková, José García‐Solano, et al.. (2017). MiR-215-5p is a tumor suppressor in colorectal cancer targeting EGFR ligand epiregulin and its transcriptional inducer HOXB9. Oncogenesis. 6(11). 399–399. 75 indexed citations
17.
Šáňa, Jiří, Jaroslav Juráček, Táňa Macháčková, et al.. (2017). Abstract 3445: ZFAS1 is upregulated in GBM tissue and affects viability and migration of GBM cells in vitro. Cancer Research. 77(13_Supplement). 3445–3445. 1 indexed citations
18.
Mlčochová, Hana, Táňa Macháčková, Anja Rabien, et al.. (2016). Epithelial-mesenchymal transition-associated microRNA/mRNA signature is linked to metastasis and prognosis in clear-cell renal cell carcinoma. Scientific Reports. 6(1). 31852–31852. 39 indexed citations
19.
Iliev, Robert, Michal Fedorko, Táňa Macháčková, et al.. (2016). Expression Levels of PIWI-interacting RNA, piR-823, Are Deregulated in Tumor Tissue, Blood Serum and Urine of Patients with Renal Cell Carcinoma. Anticancer Research. 36(12). 6419–6424. 79 indexed citations
20.
Macháčková, Táňa, Hana Mlčochová, Michal Staník, et al.. (2016). MiR-429 is linked to metastasis and poor prognosis in renal cell carcinoma by affecting epithelial-mesenchymal transition. Tumor Biology. 37(11). 14653–14658. 35 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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