Jir̆ı́ Petrák

2.6k total citations
61 papers, 2.0k citations indexed

About

Jir̆ı́ Petrák is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Jir̆ı́ Petrák has authored 61 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 22 papers in Hematology and 19 papers in Genetics. Recurrent topics in Jir̆ı́ Petrák's work include Iron Metabolism and Disorders (16 papers), Trace Elements in Health (15 papers) and Hemoglobinopathies and Related Disorders (12 papers). Jir̆ı́ Petrák is often cited by papers focused on Iron Metabolism and Disorders (16 papers), Trace Elements in Health (15 papers) and Hemoglobinopathies and Related Disorders (12 papers). Jir̆ı́ Petrák collaborates with scholars based in Czechia, United States and Netherlands. Jir̆ı́ Petrák's co-authors include Daniel Vyoral, Radek Čmejla, Jana Čmejlová, Dagmar Pospı́šilová, Vojtěch Melenovský, Chris D. Vulpe, Ondřej Toman, Robert Ivánek, Jan Beneš and Petr Man and has published in prestigious journals such as Blood, PLoS ONE and Oncogene.

In The Last Decade

Jir̆ı́ Petrák

59 papers receiving 2.0k citations

Peers

Jir̆ı́ Petrák

HEMAT

GENET

CCM

Janusz H. Kabarowski United States

Victor J. Wroblewski United States

Daniel Vyoral Czechia

Kathleen L. Berkner United States

John W. Forstrom United States

Sandro Altamura Germany

David M. Smalley United States

Colin Reily United States

Lesley M. Forrester United Kingdom

Hans E. Johansson Sweden

Janusz H. Kabarowski United States

Jir̆ı́ Petrák

892 ×0.9

318 ×0.6

HEMAT

234 ×0.8

GENET

69 ×0.2

81 ×0.3

CCM

Citations per year, relative to Jir̆ı́ Petrák Jir̆ı́ Petrák (= 1×) peers Janusz H. Kabarowski

Countries citing papers authored by Jir̆ı́ Petrák

Since Specialization

Citations

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

Fields of papers citing papers by Jir̆ı́ Petrák

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jir̆ı́ Petrák

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

All Works

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20 of 20 papers shown

Petrák, Jir̆ı́, Ladislav Anděra, Ondřej Havránek, et al.. (2025). Long-term adaptation of lymphoma cell lines to hypoxia is mediated by diverse molecular mechanisms that are targetable with specific inhibitors. Cell Death Discovery. 11(1). 65–65. 2 indexed citations

Petrák, Jir̆ı́, et al.. (2023). Autotaxin and Lysophosphatidic Acid Signalling: the Pleiotropic Regulatory Network in Cancer. Folia Biologica. 69(5-6). 149–162.

Harant, Karel, et al.. (2019). A three-pronged “Pitchfork” strategy enables an extensive description of the human membrane proteome and the identification of missing proteins. Journal of Proteomics. 204. 103411–103411. 4 indexed citations

Holada, Karel, et al.. (2019). Affinity depletion versus relative protein enrichment: a side-by-side comparison of two major strategies for increasing human cerebrospinal fluid proteome coverage. Clinical Proteomics. 16(1). 9–9. 27 indexed citations

Sedmera, David, Jan Neckář, Jiří Beneš, et al.. (2016). Changes in Myocardial Composition and Conduction Properties in Rat Heart Failure Model Induced by Chronic Volume Overload. Frontiers in Physiology. 7. 367–367. 19 indexed citations

Toman, Ondřej, Radovan Fišer, Kateřina Machová Poláková, et al.. (2016). Proteomic analysis of imatinib-resistant CML-T1 cells reveals calcium homeostasis as a potential therapeutic target. Oncology Reports. 36(3). 1258–1268. 7 indexed citations

Ščigelová, Michaela, Tabiwang N. Arrey, Jana Pospíšilová, et al.. (2015). Detailed Functional and Proteomic Characterization of Fludarabine Resistance in Mantle Cell Lymphoma Cells. PLoS ONE. 10(8). e0135314–e0135314. 9 indexed citations

Klánová, Magdalena, Jan Molinský, Jana Pospíšilová, et al.. (2014). Downregulation of deoxycytidine kinase in cytarabine-resistant mantle cell lymphoma cells confers cross-resistance to nucleoside analogs gemcitabine, fludarabine and cladribine, but not to other classes of anti-lymphoma agents. Molecular Cancer. 13(1). 159–159. 28 indexed citations

Pospíšilová, Jana, et al.. (2013). Resistance to TRAIL in mantle cell lymphoma cells is associated with the decreased expression of purine metabolism enzymes. International Journal of Molecular Medicine. 31(5). 1273–1279. 5 indexed citations

10.

Vyoral, Daniel, et al.. (2012). Nutritional hepatic iron overload is not prevented by parenteral hepcidin substitution therapy in mice. British Journal Of Nutrition. 108(10). 1723–1725. 3 indexed citations

11.

Singh, Ajay, Maradumane L. Mohan, Alfred Orina Isaac, et al.. (2009). Prion Protein Modulates Cellular Iron Uptake: A Novel Function with Implications for Prion Disease Pathogenesis. PLoS ONE. 4(2). e4468–e4468. 56 indexed citations

12.

Čmejla, Radek, Jana Čmejlová, Jir̆ı́ Petrák, et al.. (2009). Identification of mutations in the ribosomal protein L5 (RPL5) and ribosomal protein L11 (RPL11) genes in Czech patients with Diamond-Blackfan anemia. Human Mutation. 30(3). 321–327. 74 indexed citations

13.

Petrák, Jir̆ı́, Robert Ivánek, Ondřej Toman, et al.. (2008). Déjà vu in proteomics. A hit parade of repeatedly identified differentially expressed proteins. PROTEOMICS. 8(9). 1744–1749. 289 indexed citations

14.

Čmejla, Radek, et al.. (2007). Ribosomal protein S17 gene (RPS17) is mutated in Diamond-Blackfan anemia. Human Mutation. 28(12). 1178–1182. 169 indexed citations

15.

Man, Petr, et al.. (2007). Native proteomic analysis of protein complexes in murine intestinal brush border membranes. PROTEOMICS. 7(1). 121–129. 24 indexed citations

16.

Petrák, Jir̆ı́, et al.. (2007). Proteomic analysis of erythroid differentiation induced by hexamethylene bisacetamide in murine erythroleukemia cells. Experimental Hematology. 35(2). 193–202. 7 indexed citations

17.

Petrák, Jir̆ı́, et al.. (2006). Proteomic analysis of iron overload in human hepatoma cells. American Journal of Physiology-Gastrointestinal and Liver Physiology. 290(5). G1059–G1066. 26 indexed citations

18.

Petrák, Jir̆ı́ & Daniel Vyoral. (2005). Hephaestin—a ferroxidase of cellular iron export. The International Journal of Biochemistry & Cell Biology. 37(6). 1173–1178. 68 indexed citations

19.

Vyoral, Daniel, Jir̆ı́ Petrák, Róbert Šuťák, et al.. (2003). Incorporation of iron into Tritrichomonas foetus cell compartments reveals ferredoxin as a major iron-binding protein in hydrogenosomes. Microbiology. 149(7). 1911–1921. 16 indexed citations

20.

Vyoral, Daniel, et al.. (1998). Separation of cellular iron containing compounds by electrophoresis. Biological Trace Element Research. 61(3). 263–275. 15 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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