Martin Špaček

1.9k citations
47 papers · 267 · h-index 9

Impact in

Papers in

Martin Špaček

40 papers receiving 250 citations

Peers

Martin Špaček
Comparison fields: 5 of 80
  • Biological Psychiatry 19
  • Genetics 72
  • Pathology and Forensic Medicine 102
  • Oncology 70
  • Immunology 54
Replace Ivana Kovářová with:
Ivana Kovářová Czechia
Alberto Durántez Spain
Dwayne Ford United States
Ze Xiu Xiao China
Agata Surdacka Poland
Saveria Mazzara Italy
Birgitta Sparre Sweden
Ohki Saitoh Japan
Elizabeth Weisiger United States
Martin Špaček relative to Ivana Kovářová Czechia Ivana Kovářová's profile →
Citations per field
00.5×3.6×
Ivana Kovářová · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Martin Špaček, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Martin Špaček Line = papers co-authored together Martin Špaček links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201029
2 201028
3 200623
4 201415
5 201113
6 195412
7 201911
8 20199
9 20109
10
Kynurenine in disease, with particular reference to cancer.
19557
11 20077
12 20127
13 20147
14
Serum soluble IL-2 receptor as a reliable and noninvasive marker of disease activity in patients with hairy cell leukemia.
19967
15 19547
16 20106
17 20206
18 20114
19 20204
20 20204

About Martin Špaček

Martin Špaček is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Molecular Biology and Oncology, having authored 47 papers that have together received 267 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (23 papers), Lymphoma Diagnosis and Treatment (17 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Viral-associated cancers and disorders (5 papers), Tryptophan and brain disorders (5 papers), Stress Responses and Cortisol (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Biological Psychiatry (19 citations), Genetics (72 citations), Pathology and Forensic Medicine (102 citations), Oncology (70 citations) and Immunology (54 citations). Martin Špaček has collaborated with scholars based in Czechia, Germany and Canada. Frequent co-authors include Tomáš Kozák, Petr Hubáček, Ernst Holler, Ilona Hromadníková, Lukáš Smolej, Lucie Sedláčková, Pavel Hozák, Marek Trněný, Michal Kahle and Rastislav Dzijak. Their work appears in journals such as Blood, Leukemia Research, British Journal of Haematology, Acta Haematologica and Journal of Clinical Virology.

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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