Georg Tascher

2.7k total citations · 1 hit paper
35 papers, 945 citations indexed

About

Georg Tascher is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Georg Tascher has authored 35 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Cell Biology and 11 papers in Epidemiology. Recurrent topics in Georg Tascher's work include Autophagy in Disease and Therapy (10 papers), Ubiquitin and proteasome pathways (8 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). Georg Tascher is often cited by papers focused on Autophagy in Disease and Therapy (10 papers), Ubiquitin and proteasome pathways (8 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). Georg Tascher collaborates with scholars based in Germany, France and United Kingdom. Georg Tascher's co-authors include Christian Münch, Kevin Klann, F.X. Reymond Sutandy, Jindřich Činátl, Denisa Bojková, Sandra Ciesek, Fabrice Bertile, Guillemette Gauquelin‐Koch, Noor Fatima and Daniel Mueller and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Georg Tascher

34 papers receiving 935 citations

Hit Papers

A cytosolic surveillance mechanism activates the mitochon... 2023 2026 2024 2025 2023 25 50 75 100

Peers

Georg Tascher
Ritu Chakravarti United States
Jeremy W. Chambers United States
Tejas Gandhi United States
Kuan Onn Tan Malaysia
Anthony M. Pedley United States
Ritu Chakravarti United States
Georg Tascher
Citations per year, relative to Georg Tascher Georg Tascher (= 1×) peers Ritu Chakravarti

Countries citing papers authored by Georg Tascher

Since Specialization
Citations

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

Fields of papers citing papers by Georg Tascher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Tascher

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Tascher. A scholar is included among the top collaborators of Georg Tascher 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 Georg Tascher. Georg Tascher 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.
Wagner, Kristina, Bikash Adhikari, Koraljka Husnjak, et al.. (2025). Induced proximity to PML protects TDP-43 from aggregation via SUMO–ubiquitin networks. Nature Chemical Biology. 21(9). 1408–1419. 1 indexed citations
2.
Tascher, Georg, et al.. (2024). GPCR Function in Autophagy Control: A Systematic Approach of Chemical Intervention. Journal of Molecular Biology. 436(15). 168643–168643.
3.
Sutandy, F.X. Reymond, et al.. (2023). A cytosolic surveillance mechanism activates the mitochondrial UPR. Nature. 618(7966). 849–854. 116 indexed citations breakdown →
4.
Klann, Kevin, Katharina Grikscheit, Denisa Bojková, et al.. (2023). SARS-CoV-2 Variants Show Different Host Cell Proteome Profiles With Delayed Immune Response Activation in Omicron-Infected Cells. Molecular & Cellular Proteomics. 22(5). 100537–100537. 2 indexed citations
5.
Tascher, Georg, Adriana Covarrubias‐Pinto, Frank Löhr, et al.. (2023). An atypical GABARAP binding module drives the pro-autophagic potential of the AML-associated NPM1c variant. Cell Reports. 42(12). 113484–113484. 3 indexed citations
6.
Wagner, Kristina, Soraya Hölper, Manuel Kaulich, et al.. (2023). Characterization of nucleolar SUMO isopeptidases unveils a general p53-independent checkpoint of impaired ribosome biogenesis. Nature Communications. 14(1). 8121–8121. 8 indexed citations
7.
Sánchez‐Martín, Pablo, Franziska Kriegenburg, Héctor Mancilla, et al.. (2023). ULK1-mediated phosphorylation regulates the conserved role of YKT6 in autophagy. Journal of Cell Science. 136(3). 17 indexed citations
8.
Minciacchi, Valentina R., Rahul Kumar, Jimena Bravo, et al.. (2022). Impact of mesenchymal stromal cell–derived vesicular cargo on B-cell acute lymphoblastic leukemia progression. Blood Advances. 7(7). 1190–1203. 9 indexed citations
9.
Koschade, Sebastian E., et al.. (2022). SpinTip: A Simple, Robust, and Versatile Preanalytical Method for Microscale Suspension Cell Proteomics. Journal of Proteome Research. 21(11). 2827–2835. 1 indexed citations
10.
Schmitt, Daniel, Süleyman Bozkurt, Stefan Eimer, et al.. (2022). Lipid and protein content profiling of isolated native autophagic vesicles. EMBO Reports. 23(12). e53065–e53065. 27 indexed citations
11.
Tascher, Georg, Florian Bonn, Manuel Kaulich, et al.. (2022). USP32-regulated LAMTOR1 ubiquitination impacts mTORC1 activation and autophagy induction. Cell Reports. 41(10). 111653–111653. 16 indexed citations
12.
Meyer, Nina, Benedikt Linder, Svenja Zielke, et al.. (2021). Autophagy activation, lipotoxicity and lysosomal membrane permeabilization synergize to promote pimozide- and loperamide-induced glioma cell death. Autophagy. 17(11). 3424–3443. 74 indexed citations
13.
Chen, Jie, Georg Tascher, Václav Němec, et al.. (2021). A Chemical Toolbox for Labeling and Degrading Engineered Cas Proteins. SHILAP Revista de lepidopterología. 1(6). 777–785. 16 indexed citations
14.
Chen, Jie, et al.. (2021). A PROTAC targets splicing factor 3B1. Cell chemical biology. 28(11). 1616–1627.e8. 22 indexed citations
15.
Osterburg, Christian, Jakob Gebel, Georg Tascher, et al.. (2019). TA*p63 and GTAp63 achieve tighter transcriptional regulation in quality control by converting an inhibitory element into an additional transactivation domain. Cell Death and Disease. 10(10). 686–686. 11 indexed citations
16.
Giroud, Sylvain, Isabelle Chery, Fabrice Bertile, et al.. (2019). Lipidomics Reveals Seasonal Shifts in a Large-Bodied Hibernator, the Brown Bear. Frontiers in Physiology. 10. 389–389. 24 indexed citations
17.
Giroud, Sylvain, Alina L. Evans, Isabelle Chery, et al.. (2018). Seasonal changes in eicosanoid metabolism in the brown bear. Die Naturwissenschaften. 105(9-10). 58–58. 14 indexed citations
18.
Mueller, Daniel, Ursula Müller‐Vieira, Klaus M. Biemel, et al.. (2012). Biotransformation of diclofenac and effects on the metabolome of primary human hepatocytes upon repeated dose exposure. European Journal of Pharmaceutical Sciences. 45(5). 716–724. 19 indexed citations
19.
Mueller, Daniel, Georg Tascher, Georg Damm, et al.. (2012). Real-time in situ viability assessment in a 3D bioreactor with liver cells using resazurin assay. Cytotechnology. 65(2). 297–305. 13 indexed citations
20.
Mueller, Daniel, Georg Tascher, Ursula Müller‐Vieira, et al.. (2011). In-depth physiological characterization of primary human hepatocytes in a 3D hollow-fiber bioreactor. Journal of Tissue Engineering and Regenerative Medicine. 5(8). e207–e218. 31 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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