Gerhard Schratt

9.7k total citations · 1 hit paper
72 papers, 6.7k citations indexed

About

Gerhard Schratt is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gerhard Schratt has authored 72 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 45 papers in Cancer Research and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gerhard Schratt's work include MicroRNA in disease regulation (44 papers), Circular RNAs in diseases (29 papers) and RNA Research and Splicing (27 papers). Gerhard Schratt is often cited by papers focused on MicroRNA in disease regulation (44 papers), Circular RNAs in diseases (29 papers) and RNA Research and Splicing (27 papers). Gerhard Schratt collaborates with scholars based in Germany, Switzerland and United States. Gerhard Schratt's co-authors include Michael E. Greenberg, Elizabeth A. Nigh, Mary E. Sabatini, Michael Kiebler, Roberto Fiore, Gabriele Siegel, Alfred Nordheim, Silvia Bicker, Reuben Saba and Marek Rajman and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Gerhard Schratt

72 papers receiving 6.7k citations

Hit Papers

A brain-specific microRNA regulates dendritic spine devel... 2006 2026 2012 2019 2006 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerhard Schratt Germany 38 4.9k 3.3k 1.1k 824 774 72 6.7k
Michael Kiebler Germany 41 5.7k 1.2× 1.3k 0.4× 1.6k 1.5× 658 0.8× 529 0.7× 84 7.1k
Peter L. Oliver United Kingdom 36 6.5k 1.3× 4.4k 1.3× 953 0.9× 1.2k 1.4× 248 0.3× 98 9.7k
Junjie U. Guo United States 23 5.3k 1.1× 1.5k 0.4× 606 0.6× 1.4k 1.8× 673 0.9× 35 6.4k
Deepak P. Srivastava United Kingdom 37 3.5k 0.7× 1.0k 0.3× 1.8k 1.6× 1.3k 1.6× 422 0.5× 104 6.2k
Matthias Groszer United States 31 3.1k 0.6× 724 0.2× 842 0.8× 915 1.1× 892 1.2× 37 5.3k
Kai‐Christian Sonntag United States 33 3.0k 0.6× 949 0.3× 1.6k 1.5× 381 0.5× 512 0.7× 71 4.5k
Eulàlia Martı́ Spain 32 2.4k 0.5× 1.0k 0.3× 1.2k 1.1× 481 0.6× 361 0.5× 76 3.9k
Yaxian Wang China 38 2.9k 0.6× 1.1k 0.3× 2.2k 2.0× 312 0.4× 353 0.5× 132 4.9k
Johan Jakobsson Sweden 34 3.8k 0.8× 646 0.2× 1.1k 1.0× 940 1.1× 573 0.7× 72 5.3k

Countries citing papers authored by Gerhard Schratt

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Schratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Schratt

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Schratt. A scholar is included among the top collaborators of Gerhard Schratt 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 Gerhard Schratt. Gerhard Schratt 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.
Delvendahl, Igor, et al.. (2025). MicroRNA‐138‐5p suppresses excitatory synaptic strength at the cerebellar input layer. The Journal of Physiology. 603(10). 3161–3179. 1 indexed citations
2.
Gilardi, Carlotta, Brunno Rocha Levone, Silvia Bicker, et al.. (2025). miR-708-5p is elevated in bipolar patients and can induce mood disorder-associated behavior in mice. EMBO Reports. 26(8). 2121–2145. 2 indexed citations
3.
Winterer, Jochen, et al.. (2025). microRNA-218-5p coordinates scaling of excitatory and inhibitory synapses during homeostatic synaptic plasticity. Proceedings of the National Academy of Sciences. 122(14). e2500880122–e2500880122. 1 indexed citations
4.
Narayanan, Ramanathan, Brunno Rocha Levone, Jochen Winterer, et al.. (2024). miRNA-mediated inhibition of an actomyosin network in hippocampal pyramidal neurons restricts sociability in adult male mice. Cell Reports. 43(7). 114429–114429. 1 indexed citations
5.
Kleinman, Arthur, et al.. (2024). Improvement of variant reclassification in genetic neurodevelopmental conditions. SHILAP Revista de lepidopterología. 2. 101845–101845. 1 indexed citations
6.
Lukin, Jerónimo, Sebastián A. Giusti, Berta Pozzi, et al.. (2024). Influence of RNA circularity on Target RNA-Directed MicroRNA Degradation. Nucleic Acids Research. 52(6). 3358–3374. 6 indexed citations
7.
Schratt, Gerhard, et al.. (2023). microRNA-dependent regulation of gene expression in GABAergic interneurons. Frontiers in Cellular Neuroscience. 17. 1188574–1188574. 9 indexed citations
8.
Groß, Fridolin, et al.. (2022). scanMiR: a biochemically based toolkit for versatile and efficient microRNA target prediction. Bioinformatics. 38(9). 2466–2473. 17 indexed citations
9.
Schratt, Gerhard, et al.. (2021). MiRNA126 – RGS16 – CXCL12 Cascade as a Potential Mechanism of Acute Exercise-Induced Precursor Cell Mobilization. Frontiers in Physiology. 12. 780666–780666. 2 indexed citations
10.
Dori, Martina, Mathias Lesche, Simone Massalini, et al.. (2020). MicroRNA profiling of mouse cortical progenitors and neurons reveals miR-486-5p as a regulator of neurogenesis. Development. 147(9). 18 indexed citations
11.
Khudayberdiev, Sharof, et al.. (2020). The cytoplasmic SYNCRIP mRNA interactome of mammalian neurons. RNA Biology. 18(9). 1252–1264. 10 indexed citations
12.
Siegel, Gabriele, et al.. (2015). A large‐scale functional screen identifies N ova1 and N coa3 as regulators of neuronal mi RNA function. The EMBO Journal. 34(17). 2237–2254. 39 indexed citations
13.
Bicker, Silvia, et al.. (2014). MicroRNA-132, -134, and -138: a microRNA troika rules in neuronal dendrites. Cellular and Molecular Life Sciences. 71(20). 3987–4005. 80 indexed citations
14.
Saba, Reuben, et al.. (2011). Dopamine-Regulated MicroRNA MiR-181a Controls GluA2 Surface Expression in Hippocampal Neurons. Molecular and Cellular Biology. 32(3). 619–632. 184 indexed citations
15.
Król, Jacek, Volker Busskamp, Michael Stadler, et al.. (2010). Characterizing Light-Regulated Retinal MicroRNAs Reveals Rapid Turnover as a Common Property of Neuronal MicroRNAs. Cell. 141(4). 618–631. 391 indexed citations
16.
Khudayberdiev, Sharof, Roberto Fiore, & Gerhard Schratt. (2009). MicroRNA as modulators of neuronal responses. Communicative & Integrative Biology. 2(5). 411–413. 38 indexed citations
17.
Bicker, Silvia & Gerhard Schratt. (2008). microRNAs: tiny regulators of synapse function in development and disease. Journal of Cellular and Molecular Medicine. 12(5a). 1466–1476. 57 indexed citations
18.
Philippar, Ulrike, Gerhard Schratt, Christoph Dieterich, et al.. (2004). The SRF Target Gene Fhl2 Antagonizes RhoA/MAL-Dependent Activation of SRF. Molecular Cell. 16(6). 867–880. 134 indexed citations
19.
Schratt, Gerhard, Birgit Weinhold, Ante S. Lundberg, et al.. (2001). Serum Response Factor Is Required for Immediate-Early Gene Activation yet Is Dispensable for Proliferation of Embryonic Stem Cells. Molecular and Cellular Biology. 21(8). 2933–2943. 123 indexed citations
20.
Heidenreich, Olaf, Armin Neininger, Gerhard Schratt, et al.. (1999). MAPKAP Kinase 2 Phosphorylates Serum Response Factor in Vitro and in Vivo. Journal of Biological Chemistry. 274(20). 14434–14443. 153 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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