Matthias Kaschube

3.6k total citations · 1 hit paper
46 papers, 2.4k citations indexed

About

Matthias Kaschube is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Matthias Kaschube has authored 46 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 22 papers in Cellular and Molecular Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Matthias Kaschube's work include Neural dynamics and brain function (30 papers), Visual perception and processing mechanisms (20 papers) and Neurobiology and Insect Physiology Research (13 papers). Matthias Kaschube is often cited by papers focused on Neural dynamics and brain function (30 papers), Visual perception and processing mechanisms (20 papers) and Neurobiology and Insect Physiology Research (13 papers). Matthias Kaschube collaborates with scholars based in Germany, United States and Hungary. Matthias Kaschube's co-authors include Eric Wieschaus, Adam C. Martin, Michael A. Gelbart, Rodrigo Fernández‐González, Fred Wolf, Siegrid Löwel, Zia Khan, Yu‐Chiun Wang, Michael Schnabel and Bing He and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthias Kaschube

40 papers receiving 2.4k citations

Hit Papers

Pulsed contractions of an actin–myosin network drive apic... 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Kaschube Germany 18 1.4k 854 576 513 371 46 2.4k
Marko Popović United States 24 499 0.4× 503 0.6× 748 1.3× 356 0.7× 231 0.6× 57 1.9k
Jonathan E. Gale United Kingdom 28 803 0.6× 1.5k 1.7× 482 0.8× 632 1.2× 534 1.4× 50 3.8k
Germán Sumbre France 19 376 0.3× 422 0.5× 590 1.0× 592 1.2× 291 0.8× 29 1.7k
Edwin Munro United States 31 2.1k 1.5× 2.5k 3.0× 388 0.7× 87 0.2× 480 1.3× 48 4.4k
Darren Gilmour Germany 21 2.6k 1.8× 2.2k 2.6× 538 0.9× 113 0.2× 1.1k 2.9× 29 4.9k
Olivier Thoumine France 34 1.8k 1.3× 1.6k 1.9× 1.4k 2.5× 222 0.4× 872 2.4× 73 4.0k
Mei Zhen Canada 38 780 0.6× 2.4k 2.8× 1.6k 2.8× 263 0.5× 302 0.8× 92 4.8k
Shigenori Nonaka Japan 25 1.7k 1.2× 3.9k 4.6× 339 0.6× 233 0.5× 221 0.6× 55 5.4k
Hervé Rouault France 12 554 0.4× 573 0.7× 441 0.8× 216 0.4× 132 0.4× 15 1.4k
Victor Racine France 23 1.3k 1.0× 1.5k 1.8× 642 1.1× 145 0.3× 503 1.4× 34 2.9k

Countries citing papers authored by Matthias Kaschube

Since Specialization
Citations

This map shows the geographic impact of Matthias Kaschube'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 Matthias Kaschube with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Kaschube more than expected).

Fields of papers citing papers by Matthias Kaschube

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthias Kaschube. 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 Matthias Kaschube. The network helps show where Matthias Kaschube may publish in the future.

Co-authorship network of co-authors of Matthias Kaschube

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

All Works

20 of 20 papers shown
1.
Aschauer, Dominik F., et al.. (2026). Representational drift reflects ongoing balancing of stochastic changes by Hebbian learning. Proceedings of the National Academy of Sciences. 123(5). e2503046123–e2503046123.
2.
Whitney, David E., et al.. (2025). The developmental emergence of reliable cortical representations. Nature Neuroscience. 28(2). 394–405. 2 indexed citations
3.
Kaschube, Matthias, et al.. (2025). Perceptual and semantic maps in individual humans share structural features that predict creative abilities. Communications Psychology. 3(1). 30–30. 2 indexed citations
5.
Noda, Takahiro, Eike Kienle, Dominik F. Aschauer, et al.. (2025). Homeostasis of a representational map in the neocortex. Nature Neuroscience. 28(7). 1533–1545.
6.
Powell, Nathaniel J., et al.. (2025). Developmental maturation of millimeter-scale functional networks across brain areas. Cerebral Cortex. 35(2).
7.
Heilemann, Mike, et al.. (2025). Denoising Diffusion Models for High-Resolution Microscopy Image Restoration. 4320–4330. 1 indexed citations
8.
Glogger, Marius, et al.. (2024). Fast and Long‐Term Super‐Resolution Imaging of Endoplasmic Reticulum Nano‐structural Dynamics in Living Cells Using a Neural Network. SHILAP Revista de lepidopterología. 5(1). 2400385–2400385.
9.
Whitney, David E., et al.. (2023). Visual experience drives the development of novel and reliable visual representations from endogenously structured networks. Journal of Vision. 23(9). 5225–5225. 1 indexed citations
10.
Faskowitz, Joshua, et al.. (2023). Few temporally distributed brain connectivity states predict human cognitive abilities. NeuroImage. 277. 120246–120246. 4 indexed citations
11.
Chambers, Anna R., et al.. (2022). A stable sensory map emerges from a dynamic equilibrium of neurons with unstable tuning properties. Cerebral Cortex. 33(9). 5597–5612. 5 indexed citations
12.
Kaschube, Matthias, et al.. (2021). Tightly coupled inhibitory and excitatory functional networks in the developing primary visual cortex. eLife. 10. 11 indexed citations
13.
Smith, Gordon B., et al.. (2015). The development of cortical circuits for motion discrimination. Nature Neuroscience. 18(2). 252–261. 47 indexed citations
14.
He, Bing, et al.. (2014). Passive Mechanical Forces Control Cell-Shape Change during Drosophila Ventral Furrow Formation. Biophysical Journal. 107(4). 998–1010. 75 indexed citations
15.
Heide, Dominik, et al.. (2012). Coordinated Optimization of Visual Cortical Maps (II) Numerical Studies. PLoS Computational Biology. 8(11). e1002756–e1002756. 7 indexed citations
16.
Heide, Dominik, et al.. (2011). Symmetry-based analysis of the coordinated optimization of visual cortical maps. arXiv (Cornell University). 1 indexed citations
17.
Kaschube, Matthias. (2011). Contractile forces driving embryonic development. Bulletin of the American Physical Society. 2011. 1 indexed citations
18.
Keil, Wolfgang W., Karl-Friedrich Schmidt, Siegrid Löwel, & Matthias Kaschube. (2010). Reorganization of columnar architecture in the growing visual cortex. Proceedings of the National Academy of Sciences. 107(27). 12293–12298. 12 indexed citations
19.
Martin, Adam C., Michael A. Gelbart, Rodrigo Fernández‐González, Matthias Kaschube, & Eric Wieschaus. (2010). Integration of contractile forces during tissue invagination. The Journal of Cell Biology. 188(5). 735–749. 395 indexed citations
20.
Kaschube, Matthias, Michael Schnabel, Siegrid Löwel, et al.. (2010). Universality in the Evolution of Orientation Columns in the Visual Cortex. Science. 330(6007). 1113–1116. 129 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.

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