Daniela Žáčková
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 31
- Chronic Myeloid Leukemia Treatments 31
- Acute Myeloid Leukemia Research 3
- Genetics 15
- Chronic Lymphocytic Leukemia Research 12
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Co-authors
- Jiřı́ Mayer (25 shared papers)Zdeněk Ráčil (15 shared papers)Tomáš Jurček (10 shared papers)Dana Dvořáková (6 shared papers)Filip Rázga (6 shared papers)Hana Klamová (8 shared papers)Kateřina Machová Poláková (4 shared papers)Zdeněk Pospı́šil (4 shared papers)
- Journals
- Blood (9 papers)Experimental Hematology (2 papers)Molecular Diagnosis & Therapy (2 papers)British Journal of Haematology (2 papers)BMC Medical Research Methodology (1 paper)
- Partner nations
- CzechiaFranceNetherlands
In The Last Decade
Daniela Žáčková
26 papers receiving 171 citations
Peers
Comparison fields: 5 of 35
- Hematology 140
- Genetics 84
- Rheumatology 36
- Oncology 33
- Pathology and Forensic Medicine 15
Countries citing papers authored by Daniela Žáčková
This map shows the geographic impact of Daniela Žáčková'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 Daniela Žáčková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Žáčková more than expected).
Fields of papers citing papers by Daniela Žáčková
This network shows the impact of papers produced by Daniela Žáčková. 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 Daniela Žáčková. The network helps show where Daniela Žáčková may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Žáčková, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 29 | |
| 2 | 2009 | 18 | |
| 3 | 2021 | 18 | |
| 4 | 2018 | 14 | |
| 5 | 2018 | 14 | |
| 6 | 2010 | 12 | |
| 7 | 2014 | 10 | |
| 8 | 2019 | 10 | |
| 9 | 2020 | 6 | |
| 10 | 2009 | 6 | |
| 11 | 2012 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2013 | 4 | |
| 14 | 2011 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2021 | 2 | |
| 18 | Význam fyzické aktivity u pacientů s hematoonkologickými malignitami | 2012 | 2 |
| 19 | 2023 | 2 | |
| 20 | 2015 | 2 |
About Daniela Žáčková
Daniela Žáčková is a scholar working on Hematology, Genetics, Rheumatology, Oncology and Pathology and Forensic Medicine, having authored 34 papers that have together received 177 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (31 papers), Chronic Lymphocytic Leukemia Research (12 papers), Eosinophilic Disorders and Syndromes (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Acute Myeloid Leukemia Research (3 papers), CAR-T cell therapy research (3 papers), Acute Lymphoblastic Leukemia research (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (140 citations), Genetics (84 citations), Rheumatology (36 citations), Oncology (33 citations) and Pathology and Forensic Medicine (15 citations). Daniela Žáčková has collaborated with scholars based in Czechia, France and Netherlands. Frequent co-authors include Jiřı́ Mayer, Zdeněk Ráčil, Tomáš Jurček, Dana Dvořáková, Filip Rázga, Hana Klamová, Kateřina Machová Poláková, Zdeněk Pospı́šil, J Voglová and Martin Čulen. Their work appears in journals such as Blood, Experimental Hematology, Molecular Diagnosis & Therapy, British Journal of Haematology and BMC Medical Research Methodology.
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.