Daniel Čapek

613 total citations
12 papers, 376 citations indexed

About

Daniel Čapek is a scholar working on Molecular Biology, Cell Biology and Paleontology. According to data from OpenAlex, Daniel Čapek has authored 12 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cell Biology and 3 papers in Paleontology. Recurrent topics in Daniel Čapek's work include Developmental Biology and Gene Regulation (7 papers), Cellular Mechanics and Interactions (3 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Daniel Čapek is often cited by papers focused on Developmental Biology and Gene Regulation (7 papers), Cellular Mechanics and Interactions (3 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Daniel Čapek collaborates with scholars based in Austria, Germany and United Kingdom. Daniel Čapek's co-authors include Patrick Müller, Carl‐Philipp Heisenberg, Vanessa Barone, Harald Janovjak, Verena Ruprecht, Michael Smutny, Álvaro Inglés‐Prieto, Keisuke Sako, Saurabh J. Pradhan and Sanjeev Galande and has published in prestigious journals such as Nature Communications, Nature Cell Biology and Development.

In The Last Decade

Daniel Čapek

12 papers receiving 374 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Čapek Austria 9 232 176 75 67 42 12 376
Mehdi Saadaoui France 10 410 1.8× 355 2.0× 73 1.0× 69 1.0× 28 0.7× 15 626
Daniel Krueger Germany 10 236 1.0× 160 0.9× 69 0.9× 124 1.9× 79 1.9× 17 443
Jelena Raspopovic Spain 5 309 1.3× 78 0.4× 52 0.7× 24 0.4× 54 1.3× 5 442
Jesús M. López-Gay France 8 328 1.4× 477 2.7× 63 0.8× 79 1.2× 23 0.5× 10 699
Alessandro De Simone United States 11 354 1.5× 248 1.4× 67 0.9× 36 0.5× 63 1.5× 15 538
Victoria E. Deneke United States 12 330 1.4× 173 1.0× 41 0.5× 40 0.6× 67 1.6× 12 480
Adriana E. Golding United States 6 174 0.8× 205 1.2× 48 0.6× 56 0.8× 21 0.5× 11 357
Florencia di Pietro France 9 255 1.1× 333 1.9× 34 0.5× 55 0.8× 45 1.1× 11 459
Justina Sanny United States 8 482 2.1× 527 3.0× 92 1.2× 119 1.8× 39 0.9× 9 768
Gregor Mönke Germany 8 231 1.0× 158 0.9× 74 1.0× 24 0.4× 24 0.6× 11 396

Countries citing papers authored by Daniel Čapek

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Čapek

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Čapek. A scholar is included among the top collaborators of Daniel Čapek 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 Daniel Čapek. Daniel Čapek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Schauer, Alexandra, Bob Zimmermann, Katherine W. Rogers, et al.. (2024). Analysis of SMAD1/5 target genes in a sea anemone reveals ZSWIM4-6 as a novel BMP signaling modulator. eLife. 13. 3 indexed citations
2.
Morales‐Navarrete, Hernán, et al.. (2023). Uncovering developmental time and tempo using deep learning. Nature Methods. 20(12). 2000–2010. 12 indexed citations
3.
Čapek, Daniel, Hernán Morales‐Navarrete, G. P. Arutyunov, et al.. (2023). EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways. Nature Methods. 20(6). 815–823. 24 indexed citations
4.
Kühn, Timo, et al.. (2022). Single-molecule tracking of Nodal and Lefty in live zebrafish embryos supports hindered diffusion model. Nature Communications. 13(1). 6101–6101. 25 indexed citations
5.
Čapek, Daniel, et al.. (2022). Regulation of Nodal signaling propagation by receptor interactions and positive feedback. eLife. 11. 6 indexed citations
6.
Čapek, Daniel, et al.. (2021). Wie Tiere sich selbst konstruieren. BIOspektrum. 27(5). 473–477. 1 indexed citations
7.
8.
Čapek, Daniel & Patrick Müller. (2019). Positional information and tissue scaling during development and regeneration. Development. 146(24). 44 indexed citations
9.
Smutny, Michael, Zsuzsa Ákos, Silvia Grigolon, et al.. (2017). Friction forces position the neural anlage. Nature Cell Biology. 19(4). 306–317. 72 indexed citations
10.
Krens, Gabriel, Jim H. Veldhuis, Vanessa Barone, et al.. (2017). Interstitial fluid osmolarity modulates the action of differential tissue surface tension in progenitor cell segregation during gastrulation. Development. 144(10). 1798–1806. 50 indexed citations
11.
Sako, Keisuke, Saurabh J. Pradhan, Vanessa Barone, et al.. (2016). Optogenetic Control of Nodal Signaling Reveals a Temporal Pattern of Nodal Signaling Regulating Cell Fate Specification during Gastrulation. Cell Reports. 16(3). 866–877. 91 indexed citations
12.
Čapek, Daniel, Brian Metscher, & Gerd B. Müller. (2013). Thumbs down: a molecular‐morphogenetic approach to avian digit homology. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 322(1). 1–12. 9 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mehdi Saadaoui Breakdown of academic impact, for papers by Daniel Krueger Breakdown of academic impact, for papers by Jelena Raspopovic Breakdown of academic impact, for papers by Jesús M. López-Gay Breakdown of academic impact, for papers by Alessandro De Simone Breakdown of academic impact, for papers by Victoria E. Deneke Breakdown of academic impact, for papers by Adriana E. Golding Breakdown of academic impact, for papers by Florencia di Pietro Breakdown of academic impact, for papers by Justina Sanny Breakdown of academic impact, for papers by Gregor Mönke
Rankless by CCL
2026