Jan Trka

10.7k total citations
149 papers, 3.7k citations indexed

About

Jan Trka is a scholar working on Public Health, Environmental and Occupational Health, Hematology and Molecular Biology. According to data from OpenAlex, Jan Trka has authored 149 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Public Health, Environmental and Occupational Health, 88 papers in Hematology and 55 papers in Molecular Biology. Recurrent topics in Jan Trka's work include Acute Lymphoblastic Leukemia research (104 papers), Acute Myeloid Leukemia Research (59 papers) and Chronic Myeloid Leukemia Treatments (42 papers). Jan Trka is often cited by papers focused on Acute Lymphoblastic Leukemia research (104 papers), Acute Myeloid Leukemia Research (59 papers) and Chronic Myeloid Leukemia Treatments (42 papers). Jan Trka collaborates with scholars based in Czechia, Germany and Netherlands. Jan Trka's co-authors include Jan Starý, Jan Zuna, Markéta Žaliová, Ondřej Hrušák, Júlia Starková, Dirk Reinhardt, Eva Froňková, Marry M. van den Heuvel‐Eibrink, Rob Pieters and Ester Mejstříková and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Jan Trka

141 papers receiving 3.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jan Trka 2.1k 2.0k 1.5k 654 465 149 3.7k
Cornelia Eckert 1.5k 0.7× 1.8k 0.9× 716 0.5× 635 1.0× 300 0.6× 84 2.9k
Letha A. Phillips 1.3k 0.6× 1.3k 0.7× 1.0k 0.7× 533 0.8× 497 1.1× 15 2.5k
Susanne Viehmann 1.6k 0.8× 1.3k 0.6× 995 0.7× 313 0.5× 169 0.4× 33 2.6k
FG Behm 2.1k 1.0× 2.2k 1.1× 922 0.6× 544 0.8× 146 0.3× 65 3.4k
Enrico Gottardi 2.9k 1.4× 1.3k 0.7× 1.4k 0.9× 219 0.3× 251 0.5× 79 3.7k
Richard C. Harvey 1.1k 0.5× 1.3k 0.7× 695 0.5× 590 0.9× 127 0.3× 48 2.3k
Mårina Lafage‐Pochitaloff 2.2k 1.0× 1.1k 0.6× 1.4k 1.0× 353 0.5× 121 0.3× 76 3.7k
Jonathan C. Strefford 784 0.4× 809 0.4× 960 0.6× 334 0.5× 293 0.6× 89 2.5k
Thorsten Raff 1.3k 0.6× 1.5k 0.7× 376 0.3× 481 0.7× 154 0.3× 32 2.6k
Y Hayashi 1.2k 0.6× 754 0.4× 926 0.6× 241 0.4× 237 0.5× 47 2.3k

Countries citing papers authored by Jan Trka

Since Specialization
Citations

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

Fields of papers citing papers by Jan Trka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Trka

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Trka. A scholar is included among the top collaborators of Jan Trka 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 Trka. Jan Trka 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.
Svatoň, Michael, Petr Sedláček, Renata Formánková, et al.. (2025). NGS‐MRD negativity in post‐HSCT ALL spares unnecessary therapeutic interventions triggered by borderline qPCR results without an increase in relapse risk. HemaSphere. 9(4). e70124–e70124. 1 indexed citations
2.
Žaliová, Markéta, et al.. (2024). Rewired glutamate metabolism diminishes cytostatic action of L-asparaginase. Cancer Letters. 605. 217242–217242. 4 indexed citations
3.
Boublíková, Ludmila, et al.. (2024). Novel molecular aberrations involved in testicular germ cell tumor (TGCT) development and cisplatin resistance.. Journal of Clinical Oncology. 42(4_suppl). 520–520. 1 indexed citations
4.
Žaliová, Markéta, Jan Zuna, Claus Meyer, et al.. (2023). Genomic DNA-based measurable residual disease monitoring in pediatric acute myeloid leukemia: unselected consecutive cohort study. Leukemia. 38(1). 21–30. 1 indexed citations
5.
Ceppi, Francesco, Anja Möricke, Daniela Silvestri, et al.. (2022). Near-tetraploid T-cell acute lymphoblastic leukaemia in childhood: Results of the AIEOP-BFM ALL studies. European Journal of Cancer. 175. 120–124. 2 indexed citations
6.
Potůčková, Eliška, Lucie Šrámková, Jan Starý, et al.. (2018). Two novel fusion genes, AIF1L‐ETV6 and ABL1‐AIF1L, result together with ETV6‐ABL1 from a single chromosomal rearrangement in acute lymphoblastic leukemia with prenatal origin. Genes Chromosomes and Cancer. 57(9). 471–477. 4 indexed citations
7.
Hnı́zda, Aleš, Milan Fábry, Takaya Moriyama, et al.. (2018). Relapsed acute lymphoblastic leukemia-specific mutations in NT5C2 cluster into hotspots driving intersubunit stimulation. Leukemia. 32(6). 1393–1403. 24 indexed citations
8.
Cortázar, Ana R., Verónica Torrano, Natalia Martín-Martín, et al.. (2018). CANCERTOOL: A Visualization and Representation Interface to Exploit Cancer Datasets. Cancer Research. 78(21). 6320–6328. 63 indexed citations
9.
Obulkasim, Askar, Daria G. Valerio, Edwin Sonneveld, et al.. (2017). MN1 overexpression is driven by loss of DNMT3B methylation activity in inv(16) pediatric AML. Oncogene. 37(1). 107–115. 14 indexed citations
10.
Veer, Arian van der, Markéta Žaliová, Federica Mottadelli, et al.. (2013). Ikzf1 Deletion Status Discriminates For Outcome In Imatinibtreated Bcr-Abl1-Positive Childhood ALL. Haematologica. 98. 1 indexed citations
11.
Mejstříková, Ester, Eva Froňková, Tomáš Kalina, et al.. (2010). Prognosis of children with mixed phenotype acute leukemia treated on the basis of consistent immunophenotypic criteria. Haematologica. 95(6). 928–935. 42 indexed citations
12.
Šálek, Cyril, Jan Trka, Jan Vydra, et al.. (2010). [Treatment of adult acute lymphoblastic leukemia according to GMALL 07/2003 study protocol in the Czech Republic - the first experience].. PubMed. 56(3). 176–82. 7 indexed citations
13.
Balgobind, Brian V., Dirk Reinhardt, Iris H.I.M. Hollink, et al.. (2010). Evaluation of gene expression signatures predictive of cytogenetic and molecular subtypes of pediatric acute myeloid leukemia. Haematologica. 96(2). 221–230. 72 indexed citations
14.
Hollink, Iris H.I.M., Marry M. van den Heuvel‐Eibrink, Martin Zimmermann, et al.. (2009). Clinical relevance of Wilms tumor 1 gene mutations in childhood acute myeloid leukemia. Blood. 113(23). 5951–5960. 80 indexed citations
15.
16.
Froňková, Eva, Ondřej Krejčí, Tomáš Kalina, et al.. (2005). Lymphoid Differentiation Pathways Can Be Traced by TCR δ Rearrangements. The Journal of Immunology. 175(4). 2495–2500. 22 indexed citations
17.
Schrappe, Martin, Sabine Strehl, Alfred Reiter, et al.. (2004). NQO1 C609T polymorphism in distinct entities of pediatric hematologic neoplasms.. PubMed. 89(12). 1492–7. 29 indexed citations
18.
Krejčí, Ondřej, et al.. (2003). Cutting Edge: TCR δ Gene Is Frequently Rearranged in Adult B Lymphocytes. The Journal of Immunology. 171(2). 524–527. 17 indexed citations
19.
Mihál, Vladimı́r, et al.. (2000). Importance of using comparative genomic hybridization to improve detection of chromosomal changes in childhood acute lymphoblastic leukemia. Cancer Genetics and Cytogenetics. 123(2). 114–122. 20 indexed citations
20.
Trka, Jan, Jan Zuna, C Haškovec, et al.. (1999). [Detection of BCR/ABL, MLL/AF4 and TEL/AML1 hybrid genes and monitoring of minimal residual disease in pediatric patients with acute lymphoblastic leukemia].. PubMed. 138(1). 12–7. 6 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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