Markéta Tomková
- Molecular Biology
- Cancer Research top 10%
- Genetics
- Artificial Intelligence top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Benjamin Schuster‐BöcklerJakub TomekSkirmantas KriaučionisChun‐Xiao SongLei ChenPaulina Siejka-ZielińskaFang YuanYing Bi
- Topics
- Epigenetics and DNA Methylation (10 papers)Cancer Genomics and Diagnostics (6 papers)Congenital Heart Disease Studies (5 papers)
- Partner nations
- United KingdomCzechiaUnited States
In The Last Decade
Markéta Tomková
23 papers receiving 811 citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 533
- Cancer Research 173
- Genetics 99
- Artificial Intelligence 95
- Cardiology and Cardiovascular Medicine 71
Countries citing papers authored by Markéta Tomková
This map shows the geographic impact of Markéta Tomková'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 Markéta Tomková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markéta Tomková more than expected).
Fields of papers citing papers by Markéta Tomková
This network shows the impact of papers produced by Markéta Tomková. 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 Markéta Tomková. The network helps show where Markéta Tomková may publish in the future.
Co-authorship network of co-authors of Markéta Tomková
This figure shows the co-authorship network connecting the top 25 collaborators of Markéta Tomková. A scholar is included among the top collaborators of Markéta Tomková 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 Markéta Tomková. Markéta Tomková is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 38 | |
| 8 | 0 | |
| 9 | 163 | |
| 10 | 6 | |
| 11 | Bisulfite-free direct detection of 5-methylcytosine and 5-hydroxymethylcytosine at base resolutionbreakdown → | 315 |
| 12 | 1 | |
| 13 | 19 | |
| 14 | 85 | |
| 15 | 16 | |
| 16 | 38 | |
| 17 | 32 | |
| 18 | 29 | |
| 19 | 4 | |
| 20 | [Antley-Bixler syndrome or POR deficiency?]. | 3 |
About Markéta Tomková
Markéta Tomková is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine and Virology, having authored 24 papers that have together received 823 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), Cancer Genomics and Diagnostics (6 papers) and Congenital Heart Disease Studies (5 papers). The work is most often cited by research in Cancer Research (173 citations), Molecular Biology (533 citations) and Health Informatics (5 citations). Markéta Tomková has collaborated with scholars based in United Kingdom, Czechia and United States. Frequent co-authors include Benjamin Schuster‐Böckler, Jakub Tomek, Skirmantas Kriaučionis, Chun‐Xiao Song, Lei Chen, Paulina Siejka-Zielińska, Fang Yuan, Ying Bi, Yibin Liu and Gergana Velikova. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.
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.