Jan Zuna
- Public Health, Environmental and Occupational Health top 2%
- Hematology top 1%
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 5%
- Oncology
- Co-authors
- Jan TrkaJan StarýOndřej HrušákMarkéta ŽaliováMarkéta KalinováMartina VaškováEva FroňkováJan Stuchlý
- Topics
- Acute Lymphoblastic Leukemia research (49 papers)Acute Myeloid Leukemia Research (29 papers)Chronic Myeloid Leukemia Treatments (25 papers)
- Cited by
- HematologyPublic Health, Environmental and Occupational HealthPediatrics, Perinatology and Child Health
- Journals
- Nature CommunicationsBloodPLoS ONE
- Partner nations
- CzechiaGermanyNetherlands
In The Last Decade
Jan Zuna
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 53
- Public Health, Environmental and Occupational Health 813
- Hematology 739
- Molecular Biology 316
- Pediatrics, Perinatology and Child Health 232
- Oncology 155
Countries citing papers authored by Jan Zuna
This map shows the geographic impact of Jan Zuna'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 Zuna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Zuna more than expected).
Fields of papers citing papers by Jan Zuna
This network shows the impact of papers produced by Jan Zuna. 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 Zuna. The network helps show where Jan Zuna may publish in the future.
Co-authorship network of co-authors of Jan Zuna
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Zuna. A scholar is included among the top collaborators of Jan Zuna 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 Zuna. Jan Zuna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 38 | |
| 5 | 32 | |
| 6 | 31 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 64 | |
| 10 | 12 | |
| 11 | 42 | |
| 12 | 9 | |
| 13 | 26 | |
| 14 | 18 | |
| 15 | 3 | |
| 16 | 12 | |
| 17 | 29 | |
| 18 | [Detection of BCR/ABL, MLL/AF4 and TEL/AML1 hybrid genes and monitoring of minimal residual disease in pediatric patients with acute lymphoblastic leukemia]. | 6 |
| 19 | 53 | |
| 20 | 24 |
About Jan Zuna
Jan Zuna is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Genetics, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (49 papers), Acute Myeloid Leukemia Research (29 papers) and Chronic Myeloid Leukemia Treatments (25 papers). The work is most often cited by research in Hematology (739 citations), Public Health, Environmental and Occupational Health (813 citations) and Pediatrics, Perinatology and Child Health (232 citations). Jan Zuna has collaborated with scholars based in Czechia, Germany and Netherlands. Frequent co-authors include Jan Trka, Jan Starý, Ondřej Hrušák, Markéta Žaliová, Markéta Kalinová, Martina Vašková, Eva Froňková, Jan Stuchlý, Kateřina Mužíková and Petr Sedláček. Their work appears in journals such as Nature Communications, Blood and PLoS ONE.
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.