Jan Hraběta

3.0k total citations · 1 hit paper
53 papers, 2.5k citations indexed

About

Jan Hraběta is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Jan Hraběta has authored 53 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Neurology and 18 papers in Oncology. Recurrent topics in Jan Hraběta's work include Neuroblastoma Research and Treatments (20 papers), Cancer therapeutics and mechanisms (15 papers) and Trace Elements in Health (10 papers). Jan Hraběta is often cited by papers focused on Neuroblastoma Research and Treatments (20 papers), Cancer therapeutics and mechanisms (15 papers) and Trace Elements in Health (10 papers). Jan Hraběta collaborates with scholars based in Czechia, Germany and United Kingdom. Jan Hraběta's co-authors include Tomáš Eckschlager, Marie Stiborová, Vojtěch Adam, René Kizek, Eva Frei, Jitka Poljaková, Soňa Křížková, Zbyněk Heger, Jaroslav V. Burda and Jakub Širc and has published in prestigious journals such as PLoS ONE, ACS Applied Materials & Interfaces and International Journal of Molecular Sciences.

In The Last Decade

Jan Hraběta

53 papers receiving 2.4k citations

Hit Papers

Histone Deacetylase Inhibitors as Anticancer Drugs 2017 2026 2020 2023 2017 250 500 750

Peers

Jan Hraběta
Weiguang Wang United Kingdom
Lin Yang China
Angel L. Armesilla United Kingdom
Macus Tien Kuo United States
Philip J. Moos United States
Jan Hraběta
Citations per year, relative to Jan Hraběta Jan Hraběta (= 1×) peers Angelica M. Merlot

Countries citing papers authored by Jan Hraběta

Since Specialization
Citations

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

Fields of papers citing papers by Jan Hraběta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Hraběta

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Hraběta. A scholar is included among the top collaborators of Jan Hraběta 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 Jan Hraběta. Jan Hraběta 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.
Hobzová, Radka, Jakub Širc, Zuzana Bosáková, et al.. (2023). Multilayered Polyurethane/Poly(vinyl alcohol) Nanofibrous Mats for Local Topotecan Delivery as a Potential Retinoblastoma Treatment. Pharmaceutics. 15(5). 1398–1398. 3 indexed citations
2.
Heger, Zbyněk, et al.. (2021). Apoferritin/Vandetanib Association Is Long-Term Stable But Does Not Improve Pharmacological Properties of Vandetanib. International Journal of Molecular Sciences. 22(8). 4250–4250. 5 indexed citations
3.
Kopečková, Kateřina, Tomáš Eckschlager, Jakub Širc, et al.. (2019). Nanodrugs used in cancer therapy. Biomedical Papers. 163(2). 122–131. 38 indexed citations
4.
Hobzová, Radka, Jan Hraběta, Kristýna Venclíková, et al.. (2019). Poly(d,l-lactide)/polyethylene glycol micro/nanofiber mats as paclitaxel-eluting carriers: preparation and characterization of fibers, in vitro drug release, antiangiogenic activity and tumor recurrence prevention. Materials Science and Engineering C. 98. 982–993. 27 indexed citations
5.
Hobzová, Radka, Jakub Širc, Jan Hraběta, et al.. (2019). Hydrogel implants for transscleral drug delivery for retinoblastoma treatment. Materials Science and Engineering C. 103. 109799–109799. 37 indexed citations
6.
Vašková, Martina, Michal Tichý, Josef Zámečnı́k, et al.. (2019). Cytometric analysis of cell suspension generated by cavitron ultrasonic surgical aspirator in pediatric brain tumors. Journal of Neuro-Oncology. 143(1). 15–25. 3 indexed citations
7.
Rodrigo, Miguel Ángel Merlos, Vivian de los Rı́os, J. Ignacio Casal, et al.. (2018). Proteomic Signature of Neuroblastoma Cells UKF-NB-4 Reveals Key Role of Lysosomal Sequestration and the Proteasome Complex in Acquiring Chemoresistance to Cisplatin. Journal of Proteome Research. 18(3). 1255–1263. 12 indexed citations
8.
Randárová, Eva, Olga Janoušková, Lucie Cuchalová, et al.. (2016). Overcoming multidrug resistance in Dox-resistant neuroblastoma cell lines via treatment with HPMA copolymer conjugates containing anthracyclines and P-gp inhibitors. Journal of Controlled Release. 233. 136–146. 31 indexed citations
9.
Hraběta, Jan, et al.. (2016). Valproic Acid Increases CD133 Positive Cells that Show Low Sensitivity to Cytostatics in Neuroblastoma. PLoS ONE. 11(9). e0162916–e0162916. 17 indexed citations
10.
Hraběta, Jan, Tomáš Eckschlager, Marie Stiborová, et al.. (2016). Zinc and zinc-containing biomolecules in childhood brain tumors. Journal of Molecular Medicine. 94(11). 1199–1215. 17 indexed citations
11.
Hraběta, Jan, et al.. (2015). The synergistic effects of DNA-damaging drugs cisplatin and etoposide with a histone deacetylase inhibitor valproate in high-risk neuroblastoma cells. International Journal of Oncology. 47(1). 343–352. 38 indexed citations
12.
Hraběta, Jan, et al.. (2012). Neuroblastoma stem cells – mechanisms of chemoresistance and histonedeacetylase inhibitors. Neoplasma. 59(6). 737–746. 20 indexed citations
13.
Křížková, Soňa, Markéta Ryvolová, Jan Hraběta, et al.. (2012). Metallothioneins and zinc in cancer diagnosis and therapy. Drug Metabolism Reviews. 44(4). 287–301. 68 indexed citations
14.
Stiborová, Marie, Tomáš Eckschlager, Jitka Poljaková, et al.. (2012). The Synergistic Effects of DNA-Targeted Chemotherapeutics and Histone Deacetylase Inhibitors As Therapeutic Strategies for Cancer Treatment. Current Medicinal Chemistry. 19(25). 4218–4238. 58 indexed citations
15.
Procházka, Pavel, Antonín Libra, Zuzana Zemanová, et al.. (2011). Mechanisms of ellipticine‐mediated resistance in UKF‐NB‐4 neuroblastoma cells. Cancer Science. 103(2). 334–341. 11 indexed citations
16.
Hraběta, Jan, et al.. (2010). Valproic Acid in the Complex Therapy of Malignant Tumors. Current Drug Targets. 11(3). 361–379. 49 indexed citations
17.
Poljaková, Jitka, Tomáš Eckschlager, Jan Hraběta, et al.. (2009). The mechanism of cytotoxicity and DNA adduct formation by the anticancer drug ellipticine in human neuroblastoma cells. Biochemical Pharmacology. 77(9). 1466–1479. 57 indexed citations
18.
Eckschlager, Tomáš, et al.. (2009). Metallothioneins and Cancer. Current Protein and Peptide Science. 10(4). 360–375. 126 indexed citations
19.
Poljaková, Jitka, Eva Frei, Jacobo Elíes, et al.. (2007). DNA adduct formation by the anticancer drug ellipticine in human leukemia HL-60 and CCRF-CEM cells. Cancer Letters. 252(2). 270–279. 36 indexed citations
20.
Činátl, Jindřich, Martin Michaelis, Pablo Hernáiz Driever, et al.. (2004). Multimutated Herpes Simplex Virus G207 Is a Potent Inhibitor of Angiogenesis. Neoplasia. 6(6). 725–735. 43 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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