Jiří Šáňa

2.2k total citations
65 papers, 1.6k citations indexed

About

Jiří Šáňa is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Jiří Šáňa has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cancer Research, 32 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Jiří Šáňa's work include Cancer-related molecular mechanisms research (33 papers), MicroRNA in disease regulation (27 papers) and Circular RNAs in diseases (19 papers). Jiří Šáňa is often cited by papers focused on Cancer-related molecular mechanisms research (33 papers), MicroRNA in disease regulation (27 papers) and Circular RNAs in diseases (19 papers). Jiří Šáňa collaborates with scholars based in Czechia, Austria and Spain. Jiří Šáňa's co-authors include Ondřej Slabý, Marek Svoboda, Petra Faltejsková, Rostislav Vyzula, Pavel Fadrus, Martin Smrčka, Radek Lakomý, Marián Hajdúch, Martina Rédová and Lenka Radová and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Jiří Šáňa

58 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
Jiří Šáňa Czechia 22 1.1k 1.1k 204 165 159 65 1.6k
Pier Paolo Peruzzi United States 5 1.4k 1.2× 1.2k 1.2× 128 0.6× 66 0.4× 70 0.4× 9 1.7k
Abdullah Mahmood Ali United States 20 1.5k 1.3× 309 0.3× 244 1.2× 147 0.9× 90 0.6× 60 2.0k
Kathy Astrahantseff Germany 17 645 0.6× 383 0.4× 308 1.5× 120 0.7× 84 0.5× 36 1.2k
Bo You China 20 1.2k 1.0× 940 0.9× 188 0.9× 38 0.2× 139 0.9× 59 1.5k
Christopher L. Haga United States 13 817 0.7× 550 0.5× 125 0.6× 109 0.7× 83 0.5× 24 1.1k
Chlöe Milsom Canada 21 664 0.6× 353 0.3× 310 1.5× 158 1.0× 95 0.6× 30 1.3k
Kunzang Chosdol India 18 432 0.4× 343 0.3× 191 0.9× 284 1.7× 99 0.6× 58 875
Yeqing Angela Yang United States 13 1.2k 1.0× 774 0.7× 333 1.6× 58 0.4× 441 2.8× 17 1.8k
Demirkan Gursel United States 19 491 0.4× 284 0.3× 270 1.3× 243 1.5× 104 0.7× 32 970
Vinay Sagar United States 19 712 0.6× 231 0.2× 361 1.8× 190 1.2× 214 1.3× 46 1.3k

Countries citing papers authored by Jiří Šáňa

Since Specialization
Citations

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

Fields of papers citing papers by Jiří Šáňa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiří Šáňa

This figure shows the co-authorship network connecting the top 25 collaborators of Jiří Šáňa. A scholar is included among the top collaborators of Jiří Šáňa 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 Jiří Šáňa. Jiří Šáňa 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.
Slabý, Ondřej, et al.. (2024). Critical appraisal of the piRNA-PIWI axis in cancer and cancer stem cells. Biomarker Research. 12(1). 15–15. 10 indexed citations
3.
Hendrych, Michal, P. Solar, Markéta Hermanová, et al.. (2023). Spinal Metastasis in a Patient with Supratentorial Glioblastoma with Primitive Neuronal Component: A Case Report with Clinical and Molecular Evaluation. Diagnostics. 13(2). 181–181. 4 indexed citations
4.
Kazda, Tomáš, Radim Jančálek, Michal Hendrych, et al.. (2022). HLA-E and HLA-F Are Overexpressed in Glioblastoma and HLA-E Increased After Exposure to Ionizing Radiation. Cancer Genomics & Proteomics. 19(2). 151–162. 16 indexed citations
5.
Radová, Lenka, Karolína Trachtová, Markéta Hermanová, et al.. (2022). Small RNA Sequencing Identifies a Six-MicroRNA Signature Enabling Classification of Brain Metastases According to their Origin. Cancer Genomics & Proteomics. 20(1). 18–29. 5 indexed citations
6.
Lakomý, Radek, Tomáš Kazda, Iveta Selingerová, et al.. (2020). Real-World Evidence in Glioblastoma: Stupp's Regimen After a Decade. Frontiers in Oncology. 10. 840–840. 57 indexed citations
7.
Kazda, Tomáš, Radek Lakomý, Petr Pospíšil, et al.. (2019). Current approaches to the radiotherapy of brain metastases from solid tumors. 13(4). 167–172. 1 indexed citations
8.
Slavík, M, Markéta Hermanová, Jiří Šáňa, et al.. (2018). Prognostic impact of combined immunoprofiles in oropharyngeal squamous cell carcinoma patients with respect to AJCC 8th edition. Journal of Oral Pathology and Medicine. 47(9). 864–872. 5 indexed citations
9.
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
10.
Šáňa, Jiří, Petr Bušek, Pavel Fadrus, et al.. (2018). Identification of microRNAs differentially expressed in glioblastoma stem-like cells and their association with patient survival. Scientific Reports. 8(1). 2836–2836. 40 indexed citations
11.
Šáňa, Jiří, et al.. (2018). Long Non-Coding RNAs in Gliomas: From Molecular Pathology to Diagnostic Biomarkers and Therapeutic Targets. International Journal of Molecular Sciences. 19(9). 2754–2754. 32 indexed citations
12.
Slavík, M, Jiří Šáňa, Tomáš Kazda, et al.. (2018). Expression of CD44, EGFR, p16, and their mutual combinations in patients with head and neck cancer: Impact on outcomes of intensity‐modulated radiation therapy. Head & Neck. 41(4). 940–949. 11 indexed citations
13.
Ondráček, Jakub, Pavel Fadrus, Jiří Šáňa, et al.. (2017). Global MicroRNA Expression Profiling Identifies Unique MicroRNA Pattern of Radioresistant Glioblastoma Cells. Anticancer Research. 37(3). 1099–1104. 14 indexed citations
14.
Šáňa, Jiří, et al.. (2017). Unexpected obstetric haemorrhage. Krukenberg tumour. Revista Española de Anestesiología y Reanimación (English Edition). 64(8). 479–482. 1 indexed citations
15.
Bešše, Andrej, Jiří Šáňa, Radek Lakomý, et al.. (2015). MiR-338-5p sensitizes glioblastoma cells to radiation through regulation of genes involved in DNA damage response. Tumor Biology. 37(6). 7719–7727. 52 indexed citations
16.
Svoboda, Marek, Jiří Šáňa, Martina Rédová, et al.. (2012). MiR-34b is associated with clinical outcome in triple-negative breast cancer patients. Diagnostic Pathology. 7(1). 31–31. 52 indexed citations
17.
Šáňa, Jiří, Petra Faltejsková, Marek Svoboda, & Ondřej Slabý. (2012). Novel classes of non-coding RNAs and cancer. Journal of Translational Medicine. 10(1). 103–103. 243 indexed citations
18.
Šáňa, Jiří, et al.. (2012). Expression Levels of Transcribed Ultraconserved Regions <i>uc.73</i> and <i>uc.388</i> Are Altered in Colorectal Cancer. Oncology. 82(2). 114–118. 61 indexed citations
19.
Lakomý, Radek, Pavel Fadrus, Pavel Šlampa, et al.. (2011). Výsledky multimodální léčby glioblastoma multiforme:konsekutivní série 86 pacientů diagnostikovaných v letech2003–2009. Klinicka onkologie. 24(2). 1 indexed citations
20.
Lakomý, Radek, Jiří Šáňa, Simona Hankeová, et al.. (2011). MiR‐195, miR‐196b, miR‐181c, miR‐21 expression levels and O‐6‐methylguanine‐DNA methyltransferase methylation status are associated with clinical outcome in glioblastoma patients. Cancer Science. 102(12). 2186–2190. 135 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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