Martin Špaček

1.9k total citations
47 papers, 267 citations indexed

About

Martin Špaček is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Martin Špaček has authored 47 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 20 papers in Pathology and Forensic Medicine and 9 papers in Immunology. Recurrent topics in Martin Špaček's work include Chronic Lymphocytic Leukemia Research (23 papers), Lymphoma Diagnosis and Treatment (17 papers) and Immunodeficiency and Autoimmune Disorders (6 papers). Martin Špaček is often cited by papers focused on Chronic Lymphocytic Leukemia Research (23 papers), Lymphoma Diagnosis and Treatment (17 papers) and Immunodeficiency and Autoimmune Disorders (6 papers). Martin Špaček collaborates with scholars based in Czechia, Germany and Canada. Martin Špaček's co-authors include Tomáš Kozák, Petr Hubáček, Ilona Hromadníková, Lucie Sedláčková, Ernst Holler, Lukáš Smolej, Michal Kahle, Pavel Hozák, Marek Trněný and Rastislav Dzijak and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Blood.

In The Last Decade

Martin Špaček

40 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Špaček Czechia 9 102 74 72 70 54 47 267
Ivana Kovářová Czechia 4 158 1.5× 48 0.6× 20 0.3× 80 1.1× 61 1.1× 12 249
Agata Surdacka Poland 11 97 1.0× 49 0.7× 27 0.4× 63 0.9× 104 1.9× 35 296
Young Hye Ko South Korea 10 150 1.5× 109 1.5× 50 0.7× 133 1.9× 48 0.9× 22 352
Saveria Mazzara Italy 8 48 0.5× 98 1.3× 19 0.3× 51 0.7× 29 0.5× 17 228
Birgitta Sparre Sweden 5 108 1.1× 139 1.9× 6 0.1× 43 0.6× 176 3.3× 10 367
Dwayne Ford United States 9 68 0.7× 111 1.5× 13 0.2× 54 0.8× 157 2.9× 9 362
Ze Xiu Xiao China 8 16 0.2× 92 1.2× 23 0.3× 33 0.5× 128 2.4× 10 267
Elizabeth Weisiger United States 5 46 0.5× 211 2.9× 13 0.2× 72 1.0× 232 4.3× 6 475
Alberto Durántez Spain 12 58 0.6× 43 0.6× 20 0.3× 73 1.0× 176 3.3× 16 324
Kenan Aydoğan Türkiye 11 86 0.8× 29 0.4× 29 0.4× 31 0.4× 74 1.4× 36 356

Countries citing papers authored by Martin Špaček

Since Specialization
Citations

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

Fields of papers citing papers by Martin Špaček

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Špaček

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Špaček. A scholar is included among the top collaborators of Martin Špaček 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 Martin Špaček. Martin Špaček 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.
2.
Špaček, Martin, et al.. (2024). Das EDEC-Curriculum – der Weg zur fortgeschrittenen Echokardiographie auf der Intensivstation. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 119(5). 381–383.
3.
Špaček, Martin, et al.. (2022). Positive Effekte eines Einarbeitungs- und Weiterbildungscurriculums am Beispiel der interdisziplinären Intensivstation. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 118(4). 277–282. 4 indexed citations
4.
Hinzmann, Rolf, Daniel Militz, Tomáš Zima, et al.. (2021). Real-world data from Europe and Africa suggest that accuracy of systems for self-monitoring of blood glucose is frequently impaired by low hematocrit. Diabetes Research and Clinical Practice. 177. 108860–108860. 2 indexed citations
5.
Helman, Karel, et al.. (2020). PD-1, PD-L1 and PD-L2 Expression in Mantle Cell Lymphoma and Healthy Population. Folia Biologica. 66(4). 117–122. 4 indexed citations
6.
Smolej, Lukáš, Zuzana Kubová, Jana Mihályová, et al.. (2020). External validation of International Prognostic Score for asymptomatic early stage chronic lymphocytic leukaemia and proposal of an alternative score. British Journal of Haematology. 193(1). 133–137. 4 indexed citations
7.
Salles, Gilles, Emmanuel Bachy, Lukáš Smolej, et al.. (2019). Single-agent ibrutinib in RESONATE-2™ and RESONATE™ versus treatments in the real-world PHEDRA databases for patients with chronic lymphocytic leukemia. Annals of Hematology. 98(12). 2749–2760. 11 indexed citations
8.
Špaček, Martin, et al.. (2019). Determination of Circulating Endothelial Cells and Endothelial Progenitor Cells Using Multicolor Flow Cytometry in Patients with Thrombophilia. Acta Haematologica. 142(2). 113–119. 9 indexed citations
9.
Špaček, Martin, Klaus Kunze, & Jan Mehrholz. (2018). Renale Rekompensation nach akuter Nierenschädigung bei chronisch kritisch kranken Patienten. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 114(5). 459–462. 2 indexed citations
10.
Špaček, Martin. (2015). Small Molecules in the Treatment of Chronic Lymphocytic Leukemia in 2015 and in the Near Future. Klinicka onkologie. 28(Suppl 3). 3S45–3S48. 1 indexed citations
11.
Špaček, Martin, Josef Karban, J Kvasnička, et al.. (2014). CD200 Expression Improves Differential Diagnosis Between Chronic Lymphocytic Leukemia and Mantle Cell Lymphoma. Blood. 124(21). 5637–5637. 7 indexed citations
12.
Špaček, Martin, et al.. (2012). Podání transfer-faktoru (IMUNOR) u žen s chronickým vulvovaginálním diskomfortem: výsledky klinické studie.. 16(1).
13.
Hubáček, Petr, et al.. (2012). Prevalence of chromosomally integrated HHV-6 in patients with malignant disease and healthy donors in the Czech Republic. Folia Microbiologica. 58(1). 87–90. 7 indexed citations
14.
Havránek, Ondřej, Martin Špaček, Petr Hubáček, et al.. (2011). No association between the TP53 codon 72 polymorphism and risk or prognosis of Hodgkin and non-Hodgkin lymphoma. Leukemia Research. 35(8). 1117–1119. 4 indexed citations
15.
Havránek, Ondřej, Martin Špaček, Petr Hubáček, et al.. (2011). Alterations of CHEK2 forkhead-associated domain increase the risk of Hodgkin lymphoma. Neoplasma. 58(5). 392–395. 13 indexed citations
16.
Špaček, Martin, et al.. (2010). Can We Use EBV-DNA Monitoring to Predict Disease Relapse in EBV-Positive Hodgkin Lymphoma Patients?. Acta Haematologica. 124(1). 23–26. 1 indexed citations
17.
Lysák, Daniel, Tomáš Kalina, Doris Vokurková, et al.. (2010). Interlaboratory variability of CD34+ stem cell enumeration. A pilot study to national external quality assessment within the Czech Republic. International Journal of Laboratory Hematology. 32(6p1). e229–36. 6 indexed citations
18.
Sedláčková, Lucie, et al.. (2010). Heat-shock protein expression in leukemia. Tumor Biology. 32(1). 33–44. 29 indexed citations
19.
Peková, Šoňa, et al.. (2007). Identification of a novel, transactivation-defective splicing variant of p53 gene in patients with chronic lymphocytic leukemia. Leukemia Research. 32(3). 395–400. 7 indexed citations
20.
Špaček, Martin. (1955). Kynurenine in disease, with particular reference to cancer.. PubMed Central. 73(3). 198–201. 7 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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