Bjoern Schuster

539 total citations
9 papers, 379 citations indexed

About

Bjoern Schuster is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bjoern Schuster has authored 9 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bjoern Schuster's work include Glycosylation and Glycoproteins Research (1 paper), RNA modifications and cancer (1 paper) and Ionosphere and magnetosphere dynamics (1 paper). Bjoern Schuster is often cited by papers focused on Glycosylation and Glycoproteins Research (1 paper), RNA modifications and cancer (1 paper) and Ionosphere and magnetosphere dynamics (1 paper). Bjoern Schuster collaborates with scholars based in Czechia, Germany and Austria. Bjoern Schuster's co-authors include Alexander Schulte, Theo A. Berkhout, Sebastian Dietrich, Sören Abel, Andreas Ludwig, Stefan Rose‐John, Neil Broadway, Dieter Hartmann, Rolf Mentlein and Paul Säftig and has published in prestigious journals such as The Journal of Immunology, Journal of Hepatology and Journal of Microbiological Methods.

In The Last Decade

Bjoern Schuster

7 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bjoern Schuster Czechia 4 206 185 75 55 32 9 379
Hannelien Verbeke Belgium 9 188 0.9× 234 1.3× 126 1.7× 47 0.9× 62 1.9× 9 424
Beatrix Metzner Germany 10 341 1.7× 188 1.0× 106 1.4× 69 1.3× 35 1.1× 14 545
Fanélie Jouenne France 10 121 0.6× 175 0.9× 197 2.6× 34 0.6× 29 0.9× 39 421
Shuji Kaga Japan 11 329 1.6× 103 0.6× 125 1.7× 69 1.3× 33 1.0× 18 571
Maximilien Grandclaudon France 11 247 1.2× 104 0.6× 217 2.9× 60 1.1× 35 1.1× 16 530
Paola Pittoni Italy 12 571 2.8× 170 0.9× 125 1.7× 33 0.6× 37 1.2× 13 689
Yong Shao China 11 97 0.5× 89 0.5× 153 2.0× 53 1.0× 59 1.8× 28 362
Tammy P. Cheng United States 12 284 1.4× 111 0.6× 135 1.8× 39 0.7× 36 1.1× 12 521
H M Lee United States 8 288 1.4× 96 0.5× 171 2.3× 43 0.8× 36 1.1× 8 496
Giuseppe Tortolina Italy 8 298 1.4× 109 0.6× 134 1.8× 40 0.7× 24 0.8× 9 416

Countries citing papers authored by Bjoern Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Bjoern Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bjoern Schuster

This figure shows the co-authorship network connecting the top 25 collaborators of Bjoern Schuster. A scholar is included among the top collaborators of Bjoern 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 Bjoern Schuster. Bjoern Schuster 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.
Schuster, Bjoern, et al.. (2025). SWITCHER, a CRISPR-inducible floxed wild-type Cre regulating CRISPR activity. Communications Biology. 8(1). 982–982.
2.
Dráber, Petr, Ivana Hálová, Ladislav Kuchař, et al.. (2020). Production of leukotriene signaling mediators is limited by ORMDL3/serine palmitoyltransferase/5-lipoxygenase crosstalk. The Journal of Immunology. 204(1_Supplement). 152.18–152.18. 1 indexed citations
3.
Petrezsélyová, Silvia, Jan Dvořák, Peter J. Makovicky, et al.. (2019). Myopia disease mouse models: a missense point mutation (S673G) and a protein-truncating mutation of the Zfp644 mimic human disease phenotype. Cell & Bioscience. 9(1). 21–21. 5 indexed citations
4.
Jiroušková, Markéta, Helena Havelková, Karel Chalupský, et al.. (2017). Plectin controls biliary tree architecture and stability in cholestasis. Journal of Hepatology. 68(5). 1006–1017. 20 indexed citations
5.
Schuster, Bjoern, et al.. (2016). Neurological Deficits of an Rps19(Arg67del) Model of Diamond-Blackfan Anaemia. Folia Biologica. 62(4). 139–147. 3 indexed citations
6.
Ravanbakhsh, A., S. R. Kulkarni, Michael Richards, et al.. (2016). Kiel sensors for the EPD instrument on-board Solar Orbiter - An overview of the qualification and acceptance test campaigns in phase D. AGU Fall Meeting Abstracts.
7.
Schuster, Bjoern, et al.. (2006). Addition of glucose enables determination of luciferase activity in carbon-starved, stationary phase Lactococcus lactis cells. Journal of Microbiological Methods. 67(3). 624–626. 1 indexed citations
8.
Abel, Sören, Christian Hundhausen, Rolf Mentlein, et al.. (2004). The Transmembrane CXC-Chemokine Ligand 16 Is Induced by IFN-γ and TNF-α and Shed by the Activity of the Disintegrin-Like Metalloproteinase ADAM10. The Journal of Immunology. 172(10). 6362–6372. 347 indexed citations
9.
Marienhagen, Jörg, et al.. (1992). [Scintigraphic imaging of head and neck cancers with 99m technetium (v) dimercaptosuccinic acid. A prospective clinical study].. PubMed. 40(11). 437–41. 2 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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