Tomáš Stopka
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 2%
Papers in
- Hematology 30
- Acute Myeloid Leukemia Research 21
- Genetics 20
- Hemoglobinopathies and Related Disorders 8
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- Arthur I. Skoultchi (16 shared papers)Pavel Burda (16 shared papers)Jaroslav F. Prchal (4 shared papers)Josef T. Prchal (3 shared papers)Peter Laslo (6 shared papers)Bruce A. Julian (2 shared papers)Michal M. Mrug (1 shared paper)Petra Bašová (8 shared papers)
- Journals
- Blood (13 papers)Leukemia (4 papers)International Journal of Molecular Sciences (4 papers)Cells (3 papers)Experimental Hematology (3 papers)
- Partner nations
- CzechiaUnited StatesUnited Kingdom
In The Last Decade
Tomáš Stopka
76 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 101
- Hematology 742
- Genetics 401
- Cancer Research 516
- Molecular Biology 1.5k
- Immunology 284
Countries citing papers authored by Tomáš Stopka
This map shows the geographic impact of Tomáš Stopka'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 Tomáš Stopka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Stopka more than expected).
Fields of papers citing papers by Tomáš Stopka
This network shows the impact of papers produced by Tomáš Stopka. 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 Tomáš Stopka. The network helps show where Tomáš Stopka may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomáš Stopka, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 221 | |
| 2 | 2003 | 164 | |
| 3 | 2014 | 148 | |
| 4 | 2010 | 137 | |
| 5 | 2007 | 130 | |
| 6 | 2011 | 123 | |
| 7 | 2005 | 122 | |
| 8 | 2011 | 121 | |
| 9 | 1997 | 95 | |
| 10 | 2002 | 94 | |
| 11 | 2006 | 92 | |
| 12 | 2003 | 87 | |
| 13 | 2011 | 80 | |
| 14 | 1998 | 80 | |
| 15 | 1998 | 79 | |
| 16 | 2014 | 63 | |
| 17 | 2000 | 44 | |
| 18 | 2016 | 43 | |
| 19 | 2013 | 42 | |
| 20 | 2018 | 41 |
About Tomáš Stopka
Tomáš Stopka is a scholar working on Hematology, Genetics, Molecular Biology, Cancer Research and Immunology, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Epigenetics and DNA Methylation (20 papers), Genomics and Chromatin Dynamics (15 papers), RNA modifications and cancer (8 papers), Chromatin Remodeling and Cancer (8 papers), Hemoglobinopathies and Related Disorders (8 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Erythrocyte Function and Pathophysiology (7 papers). The work is most often cited by research in Hematology (742 citations), Genetics (401 citations), Cancer Research (516 citations), Molecular Biology (1.5k citations) and Immunology (284 citations). Tomáš Stopka has collaborated with scholars based in Czechia, United States and United Kingdom. Frequent co-authors include Arthur I. Skoultchi, Pavel Burda, Jaroslav F. Prchal, Josef T. Prchal, Peter Laslo, Bruce A. Julian, Michal M. Mrug, Petra Bašová, Vít Pospíšil and E Nečas. Their work appears in journals such as Blood, Leukemia, International Journal of Molecular Sciences, Cells and Experimental Hematology.
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.