Michael Doubek

7.5k total citations · 1 hit paper
169 papers, 2.3k citations indexed

About

Michael Doubek is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Michael Doubek has authored 169 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Genetics, 58 papers in Hematology and 55 papers in Pathology and Forensic Medicine. Recurrent topics in Michael Doubek's work include Chronic Lymphocytic Leukemia Research (82 papers), Lymphoma Diagnosis and Treatment (53 papers) and Immunodeficiency and Autoimmune Disorders (28 papers). Michael Doubek is often cited by papers focused on Chronic Lymphocytic Leukemia Research (82 papers), Lymphoma Diagnosis and Treatment (53 papers) and Immunodeficiency and Autoimmune Disorders (28 papers). Michael Doubek collaborates with scholars based in Czechia, Germany and France. Michael Doubek's co-authors include Jiřı́ Mayer, Yvona Brychtová, Šárka Pospı́šilová, Martin Trbušek, Boris Tichý, Karla Plevová, Jitka Malčíková, Marek Mráz, Šárka Pavlová and Jana Kotašková and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Michael Doubek

155 papers receiving 2.2k citations

Hit Papers

Management of ALL in adults: 2024 ELN recommendations fro... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Doubek Czechia 23 984 702 676 612 519 169 2.3k
G.J. Ossenkoppele Netherlands 34 677 0.7× 1.6k 2.2× 812 1.2× 783 1.3× 1.1k 2.2× 84 3.3k
Anne Tierens Norway 29 659 0.7× 590 0.8× 914 1.4× 504 0.8× 778 1.5× 101 2.2k
Luca Maurillo Italy 30 1.1k 1.1× 2.0k 2.9× 549 0.8× 1.1k 1.8× 499 1.0× 134 3.3k
Georg Hopfinger Austria 22 984 1.0× 390 0.6× 987 1.5× 280 0.5× 533 1.0× 58 1.8k
Nicola Cascavilla Italy 27 758 0.8× 1.1k 1.6× 491 0.7× 510 0.8× 517 1.0× 114 2.1k
David Joske Australia 20 809 0.8× 906 1.3× 774 1.1× 741 1.2× 634 1.2× 45 2.6k
Kazimierz Kuliczkowski Poland 29 1.1k 1.1× 1.2k 1.7× 794 1.2× 1.1k 1.8× 1.2k 2.4× 202 3.5k
Roberto Cairoli Italy 22 725 0.7× 1.1k 1.5× 446 0.7× 703 1.1× 302 0.6× 130 2.1k
Hyeoung‐Joon Kim South Korea 29 524 0.5× 1.4k 2.0× 436 0.6× 1.0k 1.7× 909 1.8× 213 3.0k
Koiti Inokuchi Japan 28 687 0.7× 1.2k 1.7× 302 0.4× 740 1.2× 525 1.0× 145 2.2k

Countries citing papers authored by Michael Doubek

Since Specialization
Citations

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

Fields of papers citing papers by Michael Doubek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Doubek

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Doubek. A scholar is included among the top collaborators of Michael Doubek 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 Michael Doubek. Michael Doubek 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
2.
Gurský, Ján, Petr Kašpárek, Alena Pecinová, et al.. (2025). Germline Jak2-R1063H mutation interferes with normal hematopoietic development and increases risk of thrombosis and leukemic transformation. Leukemia. 39(11). 2745–2757. 1 indexed citations
3.
Gökbuget, Nicola, Nicolas Boissel, Sabina Chiaretti, et al.. (2024). Management of ALL in adults: 2024 ELN recommendations from a European expert panel. Blood. 143(19). 1903–1930. 45 indexed citations breakdown →
4.
Зак, Павел, et al.. (2024). Real‐world data on diagnostics, treatment and outcomes of patients with hairy cell leukemia: The HCL‐CLLEAR study. Hematological Oncology. 42(3). e3280–e3280.
6.
Skalnı́ková, Magdalena, Kateřina Staňo Kozubík, Lenka Radová, et al.. (2022). A GP1BA Variant in a Czech Family with Monoallelic Bernard-Soulier Syndrome. International Journal of Molecular Sciences. 23(2). 885–885. 3 indexed citations
7.
Zerkalenkova, Elena, Michael Doubek, Ekaterina A. Komech, et al.. (2022). The Absence of Retroelement Activity Is Characteristic for Childhood Acute Leukemias and Adult Acute Lymphoblastic Leukemia. International Journal of Molecular Sciences. 23(3). 1756–1756.
8.
Doubková, Martina, Eva Kriegová, Simona Littnerová, et al.. (2021). DSP rs2076295 variants influence nintedanib and pirfenidone outcomes in idiopathic pulmonary fibrosis: a pilot study. Therapeutic Advances in Respiratory Disease. 15. 2663621857–2663621857. 11 indexed citations
9.
Malčíková, Jitka, Šárka Pavlová, Lenka Radová, et al.. (2021). Low-burden TP53 mutations in CLL: clinical impact and clonal evolution within the context of different treatment options. Blood. 138(25). 2670–2685. 24 indexed citations
10.
Navrkalová, Veronika, Karla Plevová, Karol Pál, et al.. (2021). LYmphoid NeXt-Generation Sequencing (LYNX) Panel. Journal of Molecular Diagnostics. 23(8). 959–974. 14 indexed citations
11.
Šterclová, Martina, Michael Doubek, & Martina Doubková. (2020). Familial pulmonary fibrosis - guidelines for diagnostics and treatment. Vnitřní lékařství. 66(6). 365–369. 1 indexed citations
12.
Doubková, Martina, Radoslav Matěj, Zita Chovancová, & Michael Doubek. (2020). Lung diseases and autoimmune hemolytic anemia associted with IgG4 disease. Vnitřní lékařství. 66(4). e22–e27. 2 indexed citations
13.
Delgado, Julio, Michael Doubek, Tycho Baumann, et al.. (2017). Chronic lymphocytic leukemia: A prognostic model comprising only two biomarkers ( IGHV mutational status and FISH cytogenetics) separates patients with different outcome and simplifies the CLL‐IPI. American Journal of Hematology. 92(4). 375–380. 66 indexed citations
14.
Janovská, Pavlína, Karla Plevová, Markéta Kaucká, et al.. (2015). Autocrine Signaling by Wnt-5a Deregulates Chemotaxis of Leukemic Cells and Predicts Clinical Outcome in Chronic Lymphocytic Leukemia. Clinical Cancer Research. 22(2). 459–469. 52 indexed citations
15.
Kaucká, Markéta, Karla Plevová, Šárka Pavlová, et al.. (2013). The Planar Cell Polarity Pathway Drives Pathogenesis of Chronic Lymphocytic Leukemia by the Regulation of B-Lymphocyte Migration. Cancer Research. 73(5). 1491–1501. 82 indexed citations
17.
Fiegl, Michael, Martin Erdel, Ingeborg Tinhofer, et al.. (2010). Clinical outcome of pretreated B-cell chronic lymphocytic leukemia following alemtuzumab therapy: a retrospective study on various cytogenetic risk categories. Annals of Oncology. 21(12). 2410–2419. 22 indexed citations
18.
Doubek, Michael, Martin Brejcha, Zdeněk Pospı́šil, et al.. (2009). New prognostic markers of chronic lymphocytic leukemia in theeveryday hematological practice. A multicenter analysis.. 94.

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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