Stefan Bauernfried

1.1k total citations
10 papers, 454 citations indexed

About

Stefan Bauernfried is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Stefan Bauernfried has authored 10 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Stefan Bauernfried's work include Inflammasome and immune disorders (6 papers), interferon and immune responses (3 papers) and Viral Infections and Vectors (2 papers). Stefan Bauernfried is often cited by papers focused on Inflammasome and immune disorders (6 papers), interferon and immune responses (3 papers) and Viral Infections and Vectors (2 papers). Stefan Bauernfried collaborates with scholars based in Germany, Italy and Austria. Stefan Bauernfried's co-authors include Veit Hornung, Karl E. Duderstadt, Matthias J Scherr, Andreas Pichlmair, Christophe Jung, Oliver T. Keppler, Yiming Cheng, Andreas Linder, Manuel Albanese and Karl‐Peter Hopfner and has published in prestigious journals such as Science, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Stefan Bauernfried

10 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Bauernfried Germany 8 348 252 60 59 39 10 454
Andreas Linder Germany 7 210 0.6× 191 0.8× 45 0.8× 40 0.7× 12 0.3× 12 358
Gee Ann Toh Singapore 6 298 0.9× 154 0.6× 31 0.5× 30 0.5× 44 1.1× 6 355
Francesca Pinci Germany 5 424 1.2× 426 1.7× 139 2.3× 60 1.0× 18 0.5× 6 599
Fiona Moghaddas Australia 9 478 1.4× 512 2.0× 168 2.8× 58 1.0× 35 0.9× 16 702
Adrian W. S. Ho Singapore 13 114 0.3× 497 2.0× 62 1.0× 183 3.1× 24 0.6× 15 668
Yu-Ping Chiang Taiwan 6 122 0.4× 78 0.3× 82 1.4× 128 2.2× 24 0.6× 7 329
SunAh Kang United States 11 131 0.4× 265 1.1× 39 0.7× 36 0.6× 18 0.5× 16 441
Geertje H. A. Westerlaken Netherlands 13 106 0.3× 358 1.4× 61 1.0× 109 1.8× 14 0.4× 21 495
Alessandra G. Commodaro Brazil 15 205 0.6× 274 1.1× 34 0.6× 208 3.5× 24 0.6× 32 690

Countries citing papers authored by Stefan Bauernfried

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Bauernfried

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Bauernfried

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

All Works

10 of 10 papers shown
1.
Bauernfried, Stefan, et al.. (2024). Vaccinia virus F1L blocks the ribotoxic stress response to subvert ZAKα‐dependent NLRP1 inflammasome activation. European Journal of Immunology. 54(10). e2451135–e2451135. 1 indexed citations
2.
Bérouti, Marleen, Katja Lammens, Matthias Heiß, et al.. (2024). Lysosomal endonuclease RNase T2 and PLD exonucleases cooperatively generate RNA ligands for TLR7 activation. Immunity. 57(7). 1482–1496.e8. 24 indexed citations
3.
Böhmer, Daniel, David Drexler, Stefan Bauernfried, et al.. (2022). Novel Poxin Stable cGAMP‐Derivatives Are Remarkable STING Agonists. Angewandte Chemie International Edition. 61(40). e202207175–e202207175. 21 indexed citations
4.
Bauernfried, Stefan & Veit Hornung. (2021). DPP9 restrains NLRP1 activation. Nature Structural & Molecular Biology. 28(4). 333–336. 7 indexed citations
5.
Bauernfried, Stefan & Veit Hornung. (2021). Human NLRP1: From the shadows to center stage. The Journal of Experimental Medicine. 219(1). 43 indexed citations
6.
Pinci, Francesca, et al.. (2020). C-tag TNF: a reporter system to study TNF shedding. Journal of Biological Chemistry. 295(52). 18065–18075. 9 indexed citations
7.
Bauernfried, Stefan, Matthias J Scherr, Andreas Pichlmair, Karl E. Duderstadt, & Veit Hornung. (2020). Human NLRP1 is a sensor for double-stranded RNA. Science. 371(6528). 218 indexed citations
8.
Linder, Andreas, Stefan Bauernfried, Yiming Cheng, et al.. (2020). CARD8 inflammasome activation triggers pyroptosis in human T cells. The EMBO Journal. 39(19). e105071–e105071. 112 indexed citations
9.
Sousa-Pereira, Patrícia de, Joana Abrantes, Stefan Bauernfried, et al.. (2018). The antiviral activity of rodent and lagomorph SERINC3 and SERINC5 is counteracted by known viral antagonists. Journal of General Virology. 100(2). 278–288. 13 indexed citations
10.
Chromikova, Veronika, Stefan Hofbauer, Christoph Göbl, et al.. (2015). Introduction of germline residues improves the stability of anti-HIV mAb 2G12-IgM. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1854(10). 1536–1544. 6 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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