Daniel Čapek
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Zebrafish Biomedical Research Applications
- Biophysics top 10%
Papers in
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- Developmental Biology and Gene Regulation 7
- Planarian Biology and Electrostimulation 2
- Single-cell and spatial transcriptomics 1
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- Cellular Mechanics and Interactions 3
- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- Patrick Müller (8 shared papers)Carl‐Philipp Heisenberg (4 shared papers)Harald Janovjak (2 shared papers)Vanessa Barone (2 shared papers)Verena Ruprecht (2 shared papers)Michael Smutny (2 shared papers)Keisuke Sako (1 shared paper)Álvaro Inglés‐Prieto (1 shared paper)
- Journals
- eLife (3 papers)Nature Methods (2 papers)Development (2 papers)Nature Cell Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyAustriaUnited Kingdom
In The Last Decade
Daniel Čapek
12 papers receiving 374 citations
Peers
Comparison fields: 5 of 72
- Cell Biology 176
- Biophysics 35
- Cellular and Molecular Neuroscience 67
- Molecular Biology 232
- Aging 5
Countries citing papers authored by Daniel Čapek
This map shows the geographic impact of Daniel Čapek'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 Daniel Čapek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Čapek more than expected).
Fields of papers citing papers by Daniel Čapek
This network shows the impact of papers produced by Daniel Čapek. 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 Daniel Čapek. The network helps show where Daniel Čapek may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Čapek, 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 | 2016 | 91 | |
| 2 | 2017 | 72 | |
| 3 | 2017 | 50 | |
| 4 | 2019 | 44 | |
| 5 | 2019 | 39 | |
| 6 | 2022 | 25 | |
| 7 | 2023 | 24 | |
| 8 | 2023 | 12 | |
| 9 | 2013 | 9 | |
| 10 | 2022 | 6 | |
| 11 | 2024 | 3 | |
| 12 | 2021 | 1 |
About Daniel Čapek
Daniel Čapek is a scholar working on Molecular Biology, Cell Biology, Paleontology, Biophysics and Nature and Landscape Conservation, having authored 12 papers that have together received 376 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (7 papers), Cellular Mechanics and Interactions (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Marine Invertebrate Physiology and Ecology (2 papers), Planarian Biology and Electrostimulation (2 papers), Single-cell and spatial transcriptomics (1 paper), Animal Genetics and Reproduction (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Cell Biology (176 citations), Biophysics (35 citations), Cellular and Molecular Neuroscience (67 citations), Molecular Biology (232 citations) and Aging (5 citations). Daniel Čapek has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Patrick Müller, Carl‐Philipp Heisenberg, Harald Janovjak, Vanessa Barone, Verena Ruprecht, Michael Smutny, Keisuke Sako, Álvaro Inglés‐Prieto, Sanjeev Galande and Saurabh J. Pradhan. Their work appears in journals such as eLife, Nature Methods, Development, Nature Cell Biology and Nature Communications.
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.