Marek Mráz
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Genetics 44
- Chronic Lymphocytic Leukemia Research 44
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- Lymphoma Diagnosis and Treatment 28
- Co-authors
- Šárka Pospı́šilová (31 shared papers)Gabriela Mladonická Pavlasová (6 shared papers)Jiri Mayer (24 shared papers)Václav Šeda (7 shared papers)Karla Malinová (3 shared papers)Martin Trbušek (16 shared papers)Yvona Brychtová (18 shared papers)Michael Doubek (18 shared papers)
- Journals
- Blood (15 papers)Leukemia (8 papers)Haematologica (4 papers)British Journal of Haematology (3 papers)Leukemia Research (3 papers)
- Partner nations
- CzechiaUnited StatesAustria
In The Last Decade
Marek Mráz
66 papers receiving 3.2k citations
Marek Mráz's Hit Papers
Peers
Comparison fields: 5 of 115
- Genetics 1.0k
- Cancer Research 1.1k
- Pathology and Forensic Medicine 771
- Immunology 800
- Oncology 537
Countries citing papers authored by Marek Mráz
This map shows the geographic impact of Marek Mráz'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 Marek Mráz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Mráz more than expected).
Fields of papers citing papers by Marek Mráz
This network shows the impact of papers produced by Marek Mráz. 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 Marek Mráz. The network helps show where Marek Mráz may publish in the future.
Co-authors
The 25 scholars most cited alongside Marek Mráz, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The regulation and function of CD20: an “enigma” of B-cell biology and targeted therapy Hit paper breakdown → | 2020 | 321 |
| 2 | 2014 | 203 | |
| 3 | 2009 | 187 | |
| 4 | 2014 | 181 | |
| 5 | 2014 | 166 | |
| 6 | 2009 | 155 | |
| 7 | 2006 | 131 | |
| 8 | 2014 | 128 | |
| 9 | 2011 | 126 | |
| 10 | 2014 | 125 | |
| 11 | 2012 | 100 | |
| 12 | 2011 | 100 | |
| 13 | 2016 | 96 | |
| 14 | 2009 | 94 | |
| 15 | 2012 | 86 | |
| 16 | 2011 | 76 | |
| 17 | 2020 | 65 | |
| 18 | 2018 | 53 | |
| 19 | 2021 | 52 | |
| 20 | 2012 | 52 |
About Marek Mráz
Marek Mráz is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Cancer Research and Oncology, having authored 71 papers that have together received 3.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (44 papers), Lymphoma Diagnosis and Treatment (28 papers), MicroRNA in disease regulation (12 papers), Immunodeficiency and Autoimmune Disorders (11 papers), Immune Cell Function and Interaction (9 papers), Galectins and Cancer Biology (9 papers), Cancer-related Molecular Pathways (5 papers) and Advanced Breast Cancer Therapies (3 papers). The work is most often cited by research in Genetics (1.0k citations), Cancer Research (1.1k citations), Pathology and Forensic Medicine (771 citations), Immunology (800 citations) and Oncology (537 citations). Marek Mráz has collaborated with scholars based in Czechia, United States and Austria. Frequent co-authors include Šárka Pospı́šilová, Gabriela Mladonická Pavlasová, Jiri Mayer, Václav Šeda, Karla Malinová, Martin Trbušek, Yvona Brychtová, Michael Doubek, Boris Tichý and Branislav Kusenda. Their work appears in journals such as Blood, Leukemia, Haematologica, British Journal of Haematology and Leukemia Research.
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.