Michael Svatoň

1.2k citations
23 papers · 340 · h-index 11

Impact in

    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction
    • Chronic Lymphocytic Leukemia Research
    • Blood disorders and treatments

Papers in

Michael Svatoň

22 papers receiving 338 citations

Peers

Michael Svatoň
Comparison fields: 5 of 47
  • Immunology 127
  • Genetics 58
  • Pathology and Forensic Medicine 84
  • Hematology 45
  • Transplantation 9
Replace H. T. Kim with:
H. T. Kim United States
Massimo Fabrizio Martelli Italy
László Gopcsa Hungary
Jennifer Proctor United States
Yoshinori Ohno Japan
Sébastian Wittnebel Belgium
Nicolò Compagno Switzerland
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Noemi F. Pereira Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Michael Svatoň

Since Specialization
Citations

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

Fields of papers citing papers by Michael Svatoň

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Svatoň, 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 Michael Svatoň Line = papers co-authored together Michael Svatoň links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201963
2 201857
3 201939
4 202030
5 201425
6 202224
7 201920
8 201918
9 202313
10 201912
11 202010
12 20196
13 20245
14 20225
15 20243
16 20232
17 20212
18 20242
19
Significant Prevalence of Severe Monogenic Immune Defects Among Children with Type 1 Diabetes and Low T1D-Genetic Risk Score
20181
20 20251

About Michael Svatoň

Michael Svatoň is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Immunology and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 340 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Cancer Genomics and Diagnostics (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Viral-associated cancers and disorders (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Diabetes and associated disorders (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (127 citations), Genetics (58 citations), Pathology and Forensic Medicine (84 citations), Hematology (45 citations) and Transplantation (9 citations). Michael Svatoň has collaborated with scholars based in Czechia, Germany and Netherlands. Frequent co-authors include Eva Froňková, Tomáš Kalina, Anna Šedivá, Tomáš Milota, Zuzana Paračková, Adam Klocperk, Veronika Kanderová, Markéta Bloomfield, Zuzana Zemanová and Marek Trněný. Their work appears in journals such as HemaSphere, Blood, Frontiers in Immunology, Cancers and Journal of Clinical Immunology.

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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