Barbora Brodská

688 total citations
39 papers, 571 citations indexed

About

Barbora Brodská is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Barbora Brodská has authored 39 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 15 papers in Oncology and 15 papers in Hematology. Recurrent topics in Barbora Brodská's work include Acute Myeloid Leukemia Research (15 papers), Cancer-related Molecular Pathways (9 papers) and RNA Interference and Gene Delivery (6 papers). Barbora Brodská is often cited by papers focused on Acute Myeloid Leukemia Research (15 papers), Cancer-related Molecular Pathways (9 papers) and RNA Interference and Gene Delivery (6 papers). Barbora Brodská collaborates with scholars based in Czechia, Germany and Poland. Barbora Brodská's co-authors include Aleš Holoubek, Kateřina Kuželová, Dana Gášková, Karel Sigler, Dana Grebeňová, Petr Heřman, Ota Fuchs, Oldřích Benada, Jaromı́r Plášek and J Malínský and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Barbora Brodská

37 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbora Brodská Czechia 14 362 153 151 64 38 39 571
Ikunoshin Kato Japan 9 425 1.2× 194 1.3× 70 0.5× 57 0.9× 37 1.0× 11 595
Jiye Liu United States 14 387 1.1× 196 1.3× 240 1.6× 88 1.4× 14 0.4× 37 577
Johannes Hofmann Germany 8 369 1.0× 119 0.8× 50 0.3× 90 1.4× 17 0.4× 15 546
Tonia J. Buchholz United States 14 874 2.4× 309 2.0× 326 2.2× 75 1.2× 79 2.1× 21 1.1k
Maarten Jacquemyn Belgium 11 457 1.3× 94 0.6× 40 0.3× 61 1.0× 46 1.2× 19 610
Sierra A. Colavito United States 8 488 1.3× 88 0.6× 39 0.3× 43 0.7× 23 0.6× 9 602
Martin Loignon Canada 17 604 1.7× 272 1.8× 40 0.3× 71 1.1× 66 1.7× 29 866
Danhui Ma China 11 467 1.3× 154 1.0× 68 0.5× 33 0.5× 25 0.7× 14 607
Max Henderson United States 6 318 0.9× 73 0.5× 110 0.7× 28 0.4× 42 1.1× 9 476
S Matsuki Japan 7 454 1.3× 107 0.7× 52 0.3× 121 1.9× 34 0.9× 8 722

Countries citing papers authored by Barbora Brodská

Since Specialization
Citations

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

Fields of papers citing papers by Barbora Brodská

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbora Brodská

This figure shows the co-authorship network connecting the top 25 collaborators of Barbora Brodská. A scholar is included among the top collaborators of Barbora Brodská 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 Barbora Brodská. Barbora Brodská 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.
Holoubek, Aleš, et al.. (2025). Correlation of p53 oligomeric status and its subcellular localization in the presence of the AML-associated NPM mutant. PLoS ONE. 20(5). e0322096–e0322096. 1 indexed citations
2.
Brodská, Barbora, Kateřina Kuželová, Jiří Hrdý, et al.. (2025). TGF-β Decreases NK Cell Mobility and Cytotoxic Efficacy in Complex in vitro Models of the Leukemia Microenvironment. ImmunoTargets and Therapy. Volume 14. 589–604. 1 indexed citations
3.
Holoubek, Aleš, et al.. (2023). Two-photon lifetime-based photoconversion of EGFP for 3D-photostimulation in FLIM. Methods and Applications in Fluorescence. 11(3). 34002–34002.
4.
Holoubek, Aleš, et al.. (2023). Nucleolar phosphoprotein modifications as a marker of apoptosis induced by RITA treatment. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1870(7). 119501–119501. 2 indexed citations
5.
Holoubek, Aleš, et al.. (2023). Cytoplasmic localization of Mdm2 in cells expressing mutated NPM is mediated by p53. FEBS Journal. 290(17). 4281–4299. 3 indexed citations
6.
Kuželová, Kateřina, Barbora Brodská, Jana Marková, et al.. (2022). NPM1 and DNMT3A mutations are associated with distinct blast immunophenotype in acute myeloid leukemia. OncoImmunology. 11(1). 2073050–2073050. 7 indexed citations
7.
Heřman, Petr, et al.. (2021). NSC348884 cytotoxicity is not mediated by inhibition of nucleophosmin oligomerization. Scientific Reports. 11(1). 10 indexed citations
8.
Brodská, Barbora, et al.. (2021). Chemotherapy-Induced Survivin Regulation in Acute Myeloid Leukemia Cells. Applied Sciences. 11(1). 460–460. 4 indexed citations
9.
Kuželová, Kateřina, et al.. (2021). Group I p21-activated kinases in leukemia cell adhesion to fibronectin. Cell Adhesion & Migration. 15(1). 18–36. 6 indexed citations
10.
Holoubek, Aleš, et al.. (2021). AML-Related NPM Mutations Drive p53 Delocalization into the Cytoplasm with Possible Impact on p53-Dependent Stress Response. Cancers. 13(13). 3266–3266. 1 indexed citations
11.
Brodská, Barbora, et al.. (2019). Nucleophosmin in leukemia: Consequences of anchor loss. The International Journal of Biochemistry & Cell Biology. 111. 52–62. 13 indexed citations
12.
Brodská, Barbora, et al.. (2019). High PD-L1 Expression Predicts for Worse Outcome of Leukemia Patients with Concomitant NPM1 and FLT3 Mutations. International Journal of Molecular Sciences. 20(11). 2823–2823. 41 indexed citations
13.
Grebeňová, Dana, et al.. (2019). PAK1, PAK1Δ15, and PAK2: similarities, differences and mutual interactions. Scientific Reports. 9(1). 17171–17171. 20 indexed citations
14.
Holoubek, Aleš, et al.. (2018). AML-associated mutation of nucleophosmin compromises its interaction with nucleolin. The International Journal of Biochemistry & Cell Biology. 103. 65–73. 13 indexed citations
15.
Brodská, Barbora, et al.. (2017). Localization of AML-related nucleophosmin mutant depends on its subtype and is highly affected by its interaction with wild-type NPM. PLoS ONE. 12(4). e0175175–e0175175. 19 indexed citations
16.
Brodská, Barbora, et al.. (2016). Correlation of PD-L1 Surface Expression on Leukemia Cells with the Ratio of PD-L1 mRNA Variants and with Electrophoretic Mobility. Cancer Immunology Research. 4(10). 815–819. 7 indexed citations
17.
Brodská, Barbora, et al.. (2015). Low‐Dose Actinomycin‐D Induces Redistribution of Wild‐Type and Mutated Nucleophosmin Followed by Cell Death in Leukemic Cells. Journal of Cellular Biochemistry. 117(6). 1319–1329. 23 indexed citations
18.
Brodská, Barbora, et al.. (2010). Decitabine-induced apoptosis is derived by Puma and Noxa induction in chronic myeloid leukemia cell line as well as in PBL and is potentiated by SAHA. Molecular and Cellular Biochemistry. 350(1-2). 71–80. 19 indexed citations
19.
Brodská, Barbora, et al.. (2009). Variations in c‐Myc and p21WAF1 expression protect normal peripheral blood lymphocytes against BimEL‐mediated cell death. Cell Biochemistry and Function. 27(3). 167–175. 5 indexed citations
20.
Kalousek, Ivan, et al.. (2007). Actinomycin D upregulates proapoptotic protein Puma and downregulates Bcl-2 mRNA in normal peripheral blood lymphocytes. Anti-Cancer Drugs. 18(7). 763–772. 20 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ikunoshin Kato Breakdown of academic impact, for papers by Jiye Liu Breakdown of academic impact, for papers by Johannes Hofmann Breakdown of academic impact, for papers by Tonia J. Buchholz Breakdown of academic impact, for papers by Maarten Jacquemyn Breakdown of academic impact, for papers by Sierra A. Colavito Breakdown of academic impact, for papers by Martin Loignon Breakdown of academic impact, for papers by Danhui Ma Breakdown of academic impact, for papers by Max Henderson Breakdown of academic impact, for papers by S Matsuki
Rankless by CCL
2026