Marie Dobrovolná
- Hematology top 10%
- Immunology
- Public Health, Environmental and Occupational Health
- Transplantation
- Molecular Biology
- Co-authors
- Petr SoukupHeike BickeböllerMichal KoubaKateřina KuželováBarbora BrodskáIngrid FaéOta FuchsGottfried Fischer
- Topics
- Hematopoietic Stem Cell Transplantation (5 papers)Immune Cell Function and Interaction (3 papers)Acute Myeloid Leukemia Research (2 papers)
- Cited by
- HematologyTransplantationImmunology
In The Last Decade
Marie Dobrovolná
9 papers receiving 99 citations
Peers
Comparison fields: 5 of 20
- Hematology 89
- Immunology 62
- Public Health, Environmental and Occupational Health 16
- Transplantation 16
- Molecular Biology 12
Countries citing papers authored by Marie Dobrovolná
This map shows the geographic impact of Marie Dobrovolná'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 Marie Dobrovolná with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Dobrovolná more than expected).
Fields of papers citing papers by Marie Dobrovolná
This network shows the impact of papers produced by Marie Dobrovolná. 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 Marie Dobrovolná. The network helps show where Marie Dobrovolná may publish in the future.
Co-authorship network of co-authors of Marie Dobrovolná
This figure shows the co-authorship network connecting the top 25 collaborators of Marie Dobrovolná. A scholar is included among the top collaborators of Marie Dobrovolná 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 Marie Dobrovolná. Marie Dobrovolná is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 21 | |
| 3 | 30 | |
| 4 | 6 | |
| 5 | Prognosis of pediatric patients transplanted for Ph+ chronic myeloid leukemia in the period from 1989 to 2006 in the Czech Republic. | 1 |
| 6 | 4 | |
| 7 | [HLA-DPB1 gene analysis in haematopoietic stem cell transplantations]. | 4 |
| 8 | [HLA-DRB1/DQA1/DQB1 alleles and haplotypes in Czech children with celiac sprue]. | 3 |
| 9 | Cytotoxic T lymphocyte precursor frequency analysis in the selection of HLA matched unrelated donors for hematopoietic stem cell transplantation: the correlation of CTLp frequency with HLA class I genotyping and aGVHD development. | 9 |
About Marie Dobrovolná
Marie Dobrovolná is a scholar working on Hematology, Immunology and Genetics, having authored 9 papers that have together received 99 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Immune Cell Function and Interaction (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Hematology (89 citations), Transplantation (16 citations) and Immunology (62 citations). Marie Dobrovolná has collaborated with scholars based in Czechia, Germany and Austria. Frequent co-authors include Petr Soukup, Heike Bickeböller, Michal Kouba, Kateřina Kuželová, Barbora Brodská, Ingrid Faé, Ota Fuchs, Gottfried Fischer, Hildegard Greinix and David Pohlreich. Their work appears in journals such as PLoS ONE, British Journal of Haematology and Bone Marrow Transplantation.
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.