Martina Rédová

798 total citations
12 papers, 652 citations indexed

About

Martina Rédová is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Martina Rédová has authored 12 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Martina Rédová's work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers) and Cancer-related molecular mechanisms research (5 papers). Martina Rédová is often cited by papers focused on MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers) and Cancer-related molecular mechanisms research (5 papers). Martina Rédová collaborates with scholars based in Czechia and Switzerland. Martina Rédová's co-authors include Ondřej Slabý, Marek Svoboda, Rostislav Vyzula, Radek Lakomý, Alexandr Poprach, Robert Iliev, Jana Nekvindová, Lenka Radová, Jiří Šáňa and Jan Doležel and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Experimental & Clinical Cancer Research and Journal of Translational Medicine.

In The Last Decade

Martina Rédová

11 papers receiving 647 citations

Peers

Martina Rédová

MB

CR

PRM

ONCOL

IMMUN

Lianqi Shao China

Hideo Matsubara Japan

Aleksandar Boro Switzerland

Kate Gerster Canada

Piotr G. Knyazev Germany

Kristi Allen United States

Andrea Tuccoli Italy

Hwahyung Lee United States

Maryam Hamdollah‐Zadeh United Kingdom

Lianqi Shao China

Martina Rédová

531 ×1.0

MB

453 ×0.9

CR

30 ×0.3

PRM

31 ×0.8

ONCOL

38 ×1.1

IMMUN

Citations per year, relative to Martina Rédová Martina Rédová (= 1×) peers Lianqi Shao

Countries citing papers authored by Martina Rédová

Since Specialization

Citations

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

Fields of papers citing papers by Martina Rédová

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Rédová

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

All Works

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12 of 12 papers shown

1.

Chlapek, Petr, Jakub Neradil, Martina Rédová, et al.. (2014). The ATRA-induced differentiation of medulloblastoma cells is enhanced with LOX/COX inhibitors: an analysis of gene expression. Cancer Cell International. 14(1). 51–51. 10 indexed citations

2.

Rédová, Martina, Jiří Šáňa, & Ondřej Slabý. (2013). Circulating miRNAs as New Blood-Based Biomarkers for Solid Cancers. Future Oncology. 9(3). 387–402. 88 indexed citations

3.

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

4.

Křen, Leoš, Jan Doležel, Dalibor Pacík, et al.. (2012). HLA-G and HLA-E specific mRNAs connote opposite prognostic significance in renal cell carcinoma. Diagnostic Pathology. 7(1). 58–58. 28 indexed citations

5.

Rédová, Martina, Alexandr Poprach, Andrej Bešše, et al.. (2012). MiR-210 expression in tumor tissue and in vitro effects of its silencing in renal cell carcinoma. Tumor Biology. 34(1). 481–491. 66 indexed citations

6.

Rédová, Martina, et al.. (2012). Nové poznatky v patogenezi Crohnovy choroby. 58(4).

7.

Rédová, Martina, Alexandr Poprach, Jana Nekvindová, et al.. (2012). Circulating miR-378 and miR-451 in serum are potential biomarkers for renal cell carcinoma. Journal of Translational Medicine. 10(1). 55–55. 217 indexed citations

8.

Rédová, Martina, et al.. (2012). [New knowledge of the pathogenesis of Crohn's disease].. PubMed. 58(4). 291–8. 1 indexed citations

9.

Slabý, Ondřej, Martina Rédová, Alexandr Poprach, et al.. (2012). Identification of MicroRNAs associated with early relapse after nephrectomy in renal cell carcinoma patients. Genes Chromosomes and Cancer. 51(7). 707–716. 86 indexed citations

10.

Rédová, Martina, Marek Svoboda, & Ondřej Slabý. (2011). MicroRNAs and their target gene networks in renal cell carcinoma. Biochemical and Biophysical Research Communications. 405(2). 153–156. 59 indexed citations

11.

Krupková, Olga, Tomáš Loja, Martina Rédová, et al.. (2011). Analysis of nuclear nestin localization in cell lines derived from neurogenic tumors. Tumor Biology. 32(4). 631–639. 32 indexed citations

12.

Chlapek, Petr, Martina Rédová, Karel Zitterbart, et al.. (2010). Enhancement of ATRA-induced differentiation of neuroblastoma cells with LOX/COX inhibitors: an expression profiling study. Journal of Experimental & Clinical Cancer Research. 29(1). 45–45. 13 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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