Michael Karus

522 total citations
9 papers, 425 citations indexed

About

Michael Karus is a scholar working on Developmental Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael Karus has authored 9 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Developmental Neuroscience, 4 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael Karus's work include Neurogenesis and neuroplasticity mechanisms (6 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Michael Karus is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (6 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Michael Karus collaborates with scholars based in Germany, United Kingdom and United States. Michael Karus's co-authors include Andréas Faissner, Stefan Wiese, Oliver Brüstle, Charles ffrench‐Constant, Bernd Denecke, Julia Fischer, Sandra Blaess, Michael Peitz, Daniel A. Peterson and Michael P. Alexander and has published in prestigious journals such as Development, The Journal of Comparative Neurology and Glia.

In The Last Decade

Michael Karus

9 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Karus Germany 8 215 138 137 102 83 9 425
Karolı́na Kuchárová United States 13 197 0.9× 155 1.1× 154 1.1× 67 0.7× 117 1.4× 24 549
Viktorija Velanac Germany 4 201 0.9× 230 1.7× 343 2.5× 58 0.6× 83 1.0× 5 581
Hana Friedman Canada 12 250 1.2× 146 1.1× 208 1.5× 38 0.4× 74 0.9× 20 493
Yves Benninger Switzerland 7 303 1.4× 232 1.7× 290 2.1× 157 1.5× 72 0.9× 7 572
Jin-Chong Xu United States 10 277 1.3× 116 0.8× 235 1.7× 86 0.8× 62 0.7× 11 575
Philip C. Buttery United Kingdom 12 330 1.5× 222 1.6× 273 2.0× 103 1.0× 78 0.9× 17 666
Caterina Berti Italy 13 271 1.3× 72 0.5× 233 1.7× 161 1.6× 27 0.3× 26 693
Mikhail Paveliev Finland 10 153 0.7× 92 0.7× 267 1.9× 135 1.3× 35 0.4× 19 429
Justin R. Siebert United States 10 130 0.6× 175 1.3× 249 1.8× 108 1.1× 74 0.9× 11 475
Marta Pellegatta Italy 10 141 0.7× 100 0.7× 262 1.9× 54 0.5× 39 0.5× 15 426

Countries citing papers authored by Michael Karus

Since Specialization
Citations

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

Fields of papers citing papers by Michael Karus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Karus

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

All Works

9 of 9 papers shown
1.
Karus, Michael, Marc Ehrlich, Tim Czopka, et al.. (2015). Regulation of oligodendrocyte precursor maintenance by chondroitin sulphate glycosaminoglycans. Glia. 64(2). 270–286. 33 indexed citations
2.
Fischer, Julia, Jaideep Kesavan, Daniel A. Peterson, et al.. (2015). Pluripotent stem cell-derived radial glia-like cells as stable intermediate for efficient generation of human oligodendrocytes. Glia. 63(12). 2152–2167. 51 indexed citations
3.
Karus, Michael, Sandra Blaess, & Oliver Brüstle. (2014). Self‐organization of neural tissue architectures from pluripotent stem cells. The Journal of Comparative Neurology. 522(12). 2831–2844. 19 indexed citations
4.
Karus, Michael, Markus Werner, Christoph Körber, et al.. (2013). Undifferentiated embryonic stem cells express ionotropic glutamate receptor mRNAs. Frontiers in Cellular Neuroscience. 7. 241–241. 3 indexed citations
5.
Karus, Michael, et al.. (2013). Differential Expression of Micro-Heterogeneous LewisX-Type Glycans in the Stem Cell Compartment of the Developing Mouse Spinal Cord. Neurochemical Research. 38(6). 1285–1294. 11 indexed citations
6.
Wiese, Stefan, Michael Karus, & Andréas Faissner. (2012). Astrocytes as a Source for Extracellular Matrix Molecules and Cytokines. Frontiers in Pharmacology. 3. 120–120. 210 indexed citations
7.
Karus, Michael, Claudia Busse, Teresa Tsai, et al.. (2012). Normal sulfation levels regulate spinal cord neural precursor cell proliferation and differentiation. Neural Development. 7(1). 20–20. 20 indexed citations
8.
Karus, Michael, Bernd Denecke, Charles ffrench‐Constant, Stefan Wiese, & Andréas Faissner. (2011). The extracellular matrix molecule tenascin C modulates expression levels and territories of key patterning genes during spinal cord astrocyte specification. Development. 138(24). 5321–5331. 66 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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