Norbert Schuster

1.9k total citations
18 papers, 1.6k citations indexed

About

Norbert Schuster is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Norbert Schuster has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Norbert Schuster's work include Cancer-related Molecular Pathways (9 papers), TGF-β signaling in diseases (4 papers) and Cell death mechanisms and regulation (4 papers). Norbert Schuster is often cited by papers focused on Cancer-related Molecular Pathways (9 papers), TGF-β signaling in diseases (4 papers) and Cell death mechanisms and regulation (4 papers). Norbert Schuster collaborates with scholars based in Germany, Sweden and United States. Norbert Schuster's co-authors include Kerstin Krieglstein, Maréne Landström, Carl‐Henrik Heldin, Mathias Montenarh, Nicole Dünker, Verena von Bülow, Noopur Thakur, Alessandro Sorrentino, Susanne Grimsby and Shouting Zhang and has published in prestigious journals such as Nature Neuroscience, Gastroenterology and Nature Cell Biology.

In The Last Decade

Norbert Schuster

18 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norbert Schuster Germany 17 1.1k 419 253 183 158 18 1.6k
Gal Akiri United States 12 1.0k 0.9× 296 0.7× 245 1.0× 139 0.8× 145 0.9× 15 1.4k
Lauren D. Wood United States 16 1.2k 1.1× 580 1.4× 335 1.3× 196 1.1× 118 0.7× 20 1.7k
Thierry Virolle France 21 1.1k 1.0× 333 0.8× 342 1.4× 150 0.8× 163 1.0× 35 1.6k
Eleanor B. Carson-Walter United States 16 861 0.8× 344 0.8× 207 0.8× 175 1.0× 251 1.6× 19 1.4k
Fred de Sauvage United States 5 821 0.7× 245 0.6× 270 1.1× 232 1.3× 194 1.2× 8 1.5k
Rachel A. Altura United States 25 1.3k 1.1× 590 1.4× 189 0.7× 270 1.5× 173 1.1× 48 1.9k
Tam How United States 19 1.2k 1.1× 439 1.0× 235 0.9× 86 0.5× 245 1.6× 24 1.6k
Ida Casella Italy 15 961 0.8× 323 0.8× 134 0.5× 186 1.0× 124 0.8× 24 1.4k
Patrick Auguste France 22 994 0.9× 539 1.3× 320 1.3× 368 2.0× 293 1.9× 37 1.8k
Karl Simin United States 18 997 0.9× 428 1.0× 280 1.1× 94 0.5× 174 1.1× 38 1.4k

Countries citing papers authored by Norbert Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norbert Schuster

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

All Works

18 of 18 papers shown
1.
Sorrentino, Alessandro, Noopur Thakur, Susanne Grimsby, et al.. (2008). The type I TGF-β receptor engages TRAF6 to activate TAK1 in a receptor kinase-independent manner. Nature Cell Biology. 10(10). 1199–1207. 466 indexed citations
2.
Bureik, Matthias, Andy Zöllner, Norbert Schuster, Mathias Montenarh, & Rita Bernhardt. (2005). Phosphorylation of Bovine Adrenodoxin by Protein Kinase CK2 Affects the Interaction with Its Redox Partner Cytochrome P450scc (CYP11A1). Biochemistry. 44(10). 3821–3830. 19 indexed citations
3.
Wang, Ziyuan, et al.. (2003). TIEG1 facilitates transforming growth factor‐β‐mediated apoptosis in the oligodendroglial cell line OLI‐neu. Journal of Neuroscience Research. 75(3). 344–352. 27 indexed citations
4.
Edlund, Sofia, Shizhong Bu, Norbert Schuster, et al.. (2003). Transforming Growth Factor-β1 (TGF-β)–induced Apoptosis of Prostate Cancer Cells Involves Smad7-dependent Activation of p38 by TGF-β-activated Kinase 1 and Mitogen-activated Protein Kinase Kinase 3. Molecular Biology of the Cell. 14(2). 529–544. 197 indexed citations
5.
Schuster, Norbert, Oliver G. Rößler, Anja Philippi, et al.. (2003). Transforming growth factor‐β and tumor necrosis factor‐α cooperate to induce apoptosis in the oligodendroglial cell line OLI‐neu. Journal of Neuroscience Research. 73(3). 324–333. 13 indexed citations
6.
Schuster, Norbert & Kerstin Krieglstein. (2002). Mechanisms of TGF-β-mediated apoptosis. Cell and Tissue Research. 307(1). 1–14. 331 indexed citations
7.
Dünker, Nicole, et al.. (2002). The role of transforming growth factor beta-2, beta-3 in mediating apoptosis in the murine intestinal mucosa. Gastroenterology. 122(5). 1364–1375. 41 indexed citations
8.
Schuster, Norbert, Nicole Dünker, & Kerstin Krieglstein. (2002). Transforming growth factor-β induced cell death in the developing chick retina is mediated via activation of c-jun N-terminal kinase and downregulation of the anti-apoptotic protein Bcl-XL. Neuroscience Letters. 330(3). 239–242. 18 indexed citations
9.
Schneider, E., et al.. (2002). The cyclin H/cdk7/Mat1 kinase activity is regulated by CK2 phosphorylation of cyclin H. Oncogene. 21(33). 5031–5037. 27 indexed citations
10.
Schuster, Norbert, Anja Philippi, Srinivasa Subramaniam, et al.. (2002). TGF‐β induces cell death in the oligodendroglial cell line OLI‐neu. Glia. 40(1). 95–108. 31 indexed citations
11.
Dünker, Nicole, Norbert Schuster, & Kerstin Krieglstein. (2001). TGF-β modulates programmed cell death in the retina of the developing chick embryo. Development. 128(11). 1933–1942. 77 indexed citations
12.
Schuster, Norbert, Michael Faust, E. Schneider, et al.. (2001). Wild-type p53 inhibits protein kinase CK2 activity. Journal of Cellular Biochemistry. 81(1). 172–183. 43 indexed citations
13.
Krieglstein, Kerstin, Sandra S. Richter, Lilla Farkas, et al.. (2000). Reduction of endogenous transforming growth factors β prevents ontogenetic neuron death. Nature Neuroscience. 3(11). 1085–1090. 126 indexed citations
14.
Schuster, Norbert, Alexandra Prowald, E. Schneider, Karl‐Heinz Scheidtmann, & Mathias Montenarh. (1999). Regulation of p53 mediated transactivation by the β‐subunit of protein kinase CK2. FEBS Letters. 447(2-3). 160–166. 32 indexed citations
15.
Götz, Claudia, Petra Scholtes, Alexandra Prowald, et al.. (1999). Protein kinase CK2 interacts with a multi-protein binding domain of p53. PubMed. 191(1-2). 111–120. 25 indexed citations
16.
Faust, Michael, Norbert Schuster, & Mathias Montenarh. (1999). Specific binding of protein kinase CK2 catalytic subunits to tubulin. FEBS Letters. 462(1-2). 51–56. 69 indexed citations
17.
Götz, Claudia, Petra Scholtes, Alexandra Prowald, et al.. (1999). Protein kinase CK2 interacts with a multi-protein binding domain of p53. Molecular and Cellular Biochemistry. 191(1-2). 111–120. 25 indexed citations
18.
Prowald, Alexandra, Norbert Schuster, & Mathias Montenarh. (1997). Regulation of the DNA binding of p53 by its interaction with protein kinase CK2. FEBS Letters. 408(1). 99–104. 27 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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