Tomáš Stopka
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 2%
Papers in
-
- Epigenetics and DNA Methylation 21
- Genomics and Chromatin Dynamics 16
- Chromatin Remodeling and Cancer 8
- RNA modifications and cancer 8
- Hematology 33
- Acute Myeloid Leukemia Research 24
- Co-authors
- Arthur I. Skoultchi (17 shared papers)Pavel Burda (16 shared papers)Jaroslav F. Prchal (4 shared papers)Peter Laslo (6 shared papers)Josef T. Prchal (3 shared papers)Bruce A. Julian (2 shared papers)Michal Mrug (1 shared paper)Petra Bašová (8 shared papers)
- Journals
- Blood (17 papers)International Journal of Molecular Sciences (4 papers)Leukemia (4 papers)Experimental Hematology (3 papers)Blood Cells Molecules and Diseases (3 papers)
- Partner nations
- CzechiaUnited StatesUnited Kingdom
In The Last Decade
Tomáš Stopka
78 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 103
- Hematology 696
- Genetics 370
- Cancer Research 485
- Molecular Biology 1.5k
- Immunology 273
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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 201 | |
| 2 | 2003 | 157 | |
| 3 | 2014 | 143 | |
| 4 | 2010 | 134 | |
| 5 | 2007 | 128 | |
| 6 | 2005 | 121 | |
| 7 | 2011 | 117 | |
| 8 | 2011 | 116 | |
| 9 | 2002 | 91 | |
| 10 | 2006 | 91 | |
| 11 | 2003 | 86 | |
| 12 | 1997 | 82 | |
| 13 | 2011 | 81 | |
| 14 | 1998 | 73 | |
| 15 | 1998 | 70 | |
| 16 | 2014 | 57 | |
| 17 | 2000 | 44 | |
| 18 | 2016 | 43 | |
| 19 | 2017 | 41 | |
| 20 | 2013 | 41 |
About Tomáš Stopka
Tomáš Stopka is a scholar working on Molecular Biology, Hematology, Genetics, Cancer Research and Physiology, having authored 81 papers that have together received 2.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (24 papers), Epigenetics and DNA Methylation (21 papers), Genomics and Chromatin Dynamics (16 papers), Hemoglobinopathies and Related Disorders (8 papers), Chromatin Remodeling and Cancer (8 papers), RNA modifications and cancer (8 papers), Erythrocyte Function and Pathophysiology (7 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Hematology (696 citations), Genetics (370 citations), Cancer Research (485 citations), Molecular Biology (1.5k citations) and Immunology (273 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, Peter Laslo, Josef T. Prchal, Bruce A. Julian, Michal Mrug, Petra Bašová, Vít Pospíšil and E Nečas. Their work appears in journals such as Blood, International Journal of Molecular Sciences, Leukemia, Experimental Hematology and Blood Cells Molecules and Diseases.
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.