Daniela Paňková
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
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- Hippo pathway signaling and YAP/TAZ 4
- Aldose Reductase and Taurine 2
- Cellular Mechanics and Interactions 2
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- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Eric E. O’Neill (6 shared papers)Nikola Vlahov (3 shared papers)Simon Scrace (3 shared papers)Anna M. Grawenda (3 shared papers)Dafni‐Eleftheria Pefani (2 shared papers)Maria Chatzifrangkeskou (2 shared papers)Iolanda Vendrell (2 shared papers)Aswin Abraham (1 shared paper)
- Journals
- The EMBO Journal (3 papers)Molecular Cancer Research (2 papers)Journal of Clinical Investigation (2 papers)Oncotarget (1 paper)Cell Communication and Signaling (1 paper)
- Partner nations
- United KingdomUnited StatesCzechia
In The Last Decade
Daniela Paňková
15 papers receiving 941 citations
Peers
Comparison fields: 5 of 71
- Cell Biology 402
- Cancer Research 184
- Immunology and Allergy 72
- Oncology 261
- Molecular Biology 438
Countries citing papers authored by Daniela Paňková
This map shows the geographic impact of Daniela Paňková'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 Daniela Paňková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Paňková more than expected).
Fields of papers citing papers by Daniela Paňková
This network shows the impact of papers produced by Daniela Paňková. 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 Daniela Paňková. The network helps show where Daniela Paňková may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Paňková, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 188 | |
| 2 | 2015 | 149 | |
| 3 | 2016 | 122 | |
| 4 | 2019 | 110 | |
| 5 | 2008 | 91 | |
| 6 | 2016 | 86 | |
| 7 | 2015 | 66 | |
| 8 | 2019 | 35 | |
| 9 | 2013 | 33 | |
| 10 | 2018 | 19 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2012 | 14 | |
| 14 | 2020 | 2 | |
| 15 | 2009 | 1 |
About Daniela Paňková
Daniela Paňková is a scholar working on Cell Biology, Cancer Research, Molecular Biology, Immunology and Allergy and Oncology, having authored 15 papers that have together received 946 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (4 papers), Heat shock proteins research (3 papers), Aldose Reductase and Taurine (2 papers), Cellular Mechanics and Interactions (2 papers), Cancer-related gene regulation (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers) and Planarian Biology and Electrostimulation (1 paper). The work is most often cited by research in Cell Biology (402 citations), Cancer Research (184 citations), Immunology and Allergy (72 citations), Oncology (261 citations) and Molecular Biology (438 citations). Daniela Paňková has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Eric E. O’Neill, Nikola Vlahov, Simon Scrace, Anna M. Grawenda, Dafni‐Eleftheria Pefani, Maria Chatzifrangkeskou, Iolanda Vendrell, Aswin Abraham, Anderson Joseph Ryan and Daniel Rösel. Their work appears in journals such as The EMBO Journal, Molecular Cancer Research, Journal of Clinical Investigation, Oncotarget and Cell Communication and Signaling.
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.