Marie Brázdová

1.2k total citations
43 papers, 1.0k citations indexed

About

Marie Brázdová is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Marie Brázdová has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 22 papers in Oncology and 9 papers in Organic Chemistry. Recurrent topics in Marie Brázdová's work include Cancer-related Molecular Pathways (21 papers), DNA and Nucleic Acid Chemistry (15 papers) and Advanced biosensing and bioanalysis techniques (13 papers). Marie Brázdová is often cited by papers focused on Cancer-related Molecular Pathways (21 papers), DNA and Nucleic Acid Chemistry (15 papers) and Advanced biosensing and bioanalysis techniques (13 papers). Marie Brázdová collaborates with scholars based in Czechia, Germany and Slovakia. Marie Brázdová's co-authors include Miroslav Fojta, Radek Pohl, Michal Hocek, Emil Paleček, Jitka Daďová, Václav Brázda, Bořivoj Vojtěšek, Hana Pivoňková, Wolfgang Deppert and Iva Kejnovská and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Bioinformatics.

In The Last Decade

Marie Brázdová

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marie Brázdová Czechia 20 830 295 188 75 69 43 1.0k
Christopher J. Hipolito Japan 16 1.2k 1.4× 273 0.9× 127 0.7× 14 0.2× 70 1.0× 29 1.5k
Svetlana Gramatikova United States 10 823 1.0× 96 0.3× 304 1.6× 17 0.2× 27 0.4× 14 1.3k
Claudia Riccardi Italy 23 936 1.1× 248 0.8× 213 1.1× 52 0.7× 14 0.2× 54 1.3k
Piotr Jakimowicz Poland 18 446 0.5× 206 0.7× 194 1.0× 21 0.3× 12 0.2× 29 889
Takuji Shoda Japan 17 828 1.0× 233 0.8× 158 0.8× 30 0.4× 14 0.2× 35 1.3k
Ankit Rai India 20 563 0.7× 169 0.6× 195 1.0× 31 0.4× 26 0.4× 33 979
Daekyu Sun United States 29 4.7k 5.7× 272 0.9× 392 2.1× 88 1.2× 18 0.3× 65 5.1k
Murat Sünbül Germany 16 745 0.9× 48 0.2× 153 0.8× 16 0.2× 34 0.5× 29 973
Anne Bourdoncle France 21 1.8k 2.1× 80 0.3× 78 0.4× 55 0.7× 14 0.2× 32 1.9k
J. Keith Wright Germany 22 1.2k 1.4× 182 0.6× 67 0.4× 13 0.2× 14 0.2× 49 1.7k

Countries citing papers authored by Marie Brázdová

Since Specialization
Citations

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

Fields of papers citing papers by Marie Brázdová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Brázdová

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Brázdová. A scholar is included among the top collaborators of Marie Brázdová 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 Marie Brázdová. Marie Brázdová 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.
Vorlı́čková, Michaela, et al.. (2024). Human ARMC6 binds in vitro to both cancer genes and telomeric RNA, favoring G-quadruplex structure recognition. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1867(3). 195050–195050.
2.
Garaj, Vladimír, Andrea Angeli, Marie Brázdová, et al.. (2021). Novel 1,3,5-Triazinyl Aminobenzenesulfonamides Incorporating Aminoalcohol, Aminochalcone and Aminostilbene Structural Motifs as Potent Anti-VRE Agents, and Carbonic Anhydrases I, II, VII, IX, and XII Inhibitors. International Journal of Molecular Sciences. 23(1). 231–231. 5 indexed citations
3.
Černocká, Hana, et al.. (2019). Interfacial properties of p53-DNA complexes containing various recognition elements. Journal of Electroanalytical Chemistry. 848. 113300–113300. 3 indexed citations
4.
Brázdová, Marie, et al.. (2016). p53 Specifically Binds Triplex DNA In Vitro and in Cells. PLoS ONE. 11(12). e0167439–e0167439. 22 indexed citations
5.
Fojta, Miroslav, et al.. (2013). Redox state of p63 and p73 core domains regulates sequence-specific DNA binding. Biochemical and Biophysical Research Communications. 433(4). 445–449. 14 indexed citations
6.
Daďová, Jitka, et al.. (2013). Vinylsulfonamide and Acrylamide Modification of DNA for Cross‐linking with Proteins. Angewandte Chemie International Edition. 52(40). 10515–10518. 81 indexed citations
7.
Brázdová, Marie, Matej Lexa, Roman Hrstka, et al.. (2013). Preferential Binding of Hot Spot Mutant p53 Proteins to Supercoiled DNA In Vitro and in Cells. PLoS ONE. 8(3). e59567–e59567. 31 indexed citations
8.
Daďová, Jitka, et al.. (2013). Vinylsulfonamide and Acrylamide Modification of DNA for Cross‐linking with Proteins. Angewandte Chemie. 125(40). 10709–10712. 34 indexed citations
9.
10.
Quante, Timo, Benjamin Otto, Marie Brázdová, et al.. (2012). Mutant p53 is a transcriptional co-factor that binds to G-rich regulatory regions of active genes and generates transcriptional plasticity. Cell Cycle. 11(17). 3290–3303. 54 indexed citations
11.
Pivoňková, Hana, Petr Pečínka, Marie Brázdová, et al.. (2010). Selective binding of tumor suppressor p53 protein to topologically constrained DNA: Modulation by intercalative drugs. Biochemical and Biophysical Research Communications. 393(4). 894–899. 20 indexed citations
12.
Havran, Luděk, et al.. (2010). A label-free electrochemical test for DNA-binding activities of tumor suppressor protein p53 using immunoprecipitation at magnetic beads. Analytica Chimica Acta. 668(2). 166–170. 26 indexed citations
13.
14.
Cherny, Dmitry I., Marie Brázdová, Jan Paleček, Emil Paleček, & Thomas M. Jovin. (2005). Sequestering of p53 into DNA–protein filaments revealed by electron microscopy. Biophysical Chemistry. 114(2-3). 261–271. 4 indexed citations
15.
Fojta, Miroslav, et al.. (2004). Investigations of the supercoil‐selective DNA binding of wild type p53 suggest a novel mechanism for controlling p53 function. European Journal of Biochemistry. 271(19). 3865–3876. 35 indexed citations
16.
Paleček, Emil, et al.. (2004). Enhancement of p53 sequence-specific binding by DNA supercoiling. Oncogene. 23(12). 2119–2127. 35 indexed citations
17.
Fojta, Miroslav, Hana Pivoňková, Marie Brázdová, et al.. (2003). Recognition of DNA modified by antitumor cisplatin by “latent” and “active” protein p53. Biochemical Pharmacology. 65(8). 1305–1316. 19 indexed citations
18.
Brázdová, Marie. (2002). Role of tumor suppressor p53 domains in selective binding to supercoiled DNA. Nucleic Acids Research. 30(22). 4966–4974. 59 indexed citations
19.
Paleček, Emil, Marie Brázdová, Václav Brázda, et al.. (2001). Binding of p53 and its core domain to supercoiled DNA. European Journal of Biochemistry. 268(3). 573–581. 34 indexed citations
20.
Paleček, Emil, Miroslav Fojta, František Jelen, Marie Brázdová, & Libuše Trnková. (2001). Electrochemistry of nucleic acids and proteins. Sensors forDNA hybridization and DNA damage.. 1–7. 1 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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