Inga Preuß

992 total citations
9 papers, 441 citations indexed

About

Inga Preuß is a scholar working on Immunology, Microbiology and Surgery. According to data from OpenAlex, Inga Preuß has authored 9 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Microbiology and 3 papers in Surgery. Recurrent topics in Inga Preuß's work include Microbial infections and disease research (5 papers), Cholesterol and Lipid Metabolism (3 papers) and Aquaculture disease management and microbiota (2 papers). Inga Preuß is often cited by papers focused on Microbial infections and disease research (5 papers), Cholesterol and Lipid Metabolism (3 papers) and Aquaculture disease management and microbiota (2 papers). Inga Preuß collaborates with scholars based in Germany, United States and Switzerland. Inga Preuß's co-authors include Klaus Aktories, J. Orth, Andreas W. Sailer, F. Gessier, Brenda A. Wilson, Klaus Seuwen, Andreas Schlösser, Aleksandra Rutkowska, Frédéric Bassilana and Kumlesh K. Dev and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Inga Preuß

9 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Inga Preuß Germany	9	191	118	101	92	57	9	441
Hadriano M. Lacerda Spain	13	232 1.2×	62 0.5×	53 0.5×	54 0.6×	45 0.8×	16	463
Wenqin Xu United States	18	309 1.6×	218 1.8×	58 0.6×	30 0.3×	86 1.5×	47	847
Rolando Cuevas United States	14	340 1.8×	199 1.7×	27 0.3×	30 0.3×	82 1.4×	27	722
L S Gray United States	15	315 1.6×	190 1.6×	157 1.6×	14 0.2×	63 1.1×	17	632
Hsiu‐Cheng Hung United States	9	338 1.8×	211 1.8×	21 0.2×	15 0.2×	80 1.4×	11	658
Yves Bourlet France	6	420 2.2×	280 2.4×	47 0.5×	45 0.5×	46 0.8×	8	873
Daryl Faulds United States	8	254 1.3×	288 2.4×	16 0.2×	80 0.9×	88 1.5×	10	688
J. Henry France	7	214 1.1×	177 1.5×	15 0.1×	36 0.4×	64 1.1×	7	405
Giuseppina Cantalupo Italy	8	412 2.2×	60 0.5×	55 0.5×	53 0.6×	44 0.8×	11	804
Michael DeVeer Australia	7	167 0.9×	282 2.4×	24 0.2×	17 0.2×	14 0.2×	7	521

Countries citing papers authored by Inga Preuß

Since Specialization

Citations

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

Fields of papers citing papers by Inga Preuß

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inga Preuß

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

All Works

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9 of 9 papers shown

Gessier, F., Inga Preuß, Hong Yin, et al.. (2014). Identification and Characterization of Small Molecule Modulators of the Epstein–Barr Virus-Induced Gene 2 (EBI2) Receptor. Journal of Medicinal Chemistry. 57(8). 3358–3368. 44 indexed citations

Preuß, Inga, Marie‐Gabrielle Ludwig, Birgit Baumgarten, et al.. (2014). Transcriptional regulation and functional characterization of the oxysterol/EBI2 system in primary human macrophages. Biochemical and Biophysical Research Communications. 446(3). 663–668. 53 indexed citations

Rutkowska, Aleksandra, Inga Preuß, F. Gessier, Andreas W. Sailer, & Kumlesh K. Dev. (2014). EBI2 regulates intracellular signaling and migration in human astrocyte. Glia. 63(2). 341–351. 58 indexed citations

Hannedouche, Sébastien, Valérie Beck, Juliet Leighton-Davies, et al.. (2013). Identification of the C3a Receptor (C3AR1) as the Target of the VGF-derived Peptide TLQP-21 in Rodent Cells. Journal of Biological Chemistry. 288(38). 27434–27443. 79 indexed citations

Preuß, Inga, Dagmar Hildebrand, J. Orth, Klaus Aktories, & Katharina F. Kubatzky. (2010). Pasteurella multocida toxin is a potent activator of anti-apoptotic signalling pathways. Cellular Microbiology. 12(8). 1174–1185. 34 indexed citations

Orth, J., et al.. (2009). Pasteurella multocida toxin activation of heterotrimeric G proteins by deamidation. Proceedings of the National Academy of Sciences. 106(17). 7179–7184. 92 indexed citations

Orth, J., et al.. (2008). Activation of Gαi and Subsequent Uncoupling of Receptor-Gαi Signaling by Pasteurella multocida Toxin. Journal of Biological Chemistry. 283(34). 23288–23294. 38 indexed citations

Preuß, Inga, et al.. (2008). Pasteurella multocida toxin activates Gβγ dimers of heterotrimeric G proteins. Cellular Signalling. 21(4). 551–558. 24 indexed citations

Orth, J., et al.. (2007). Action of Pasteurella multocida toxin on Gαq is persistent and independent of interaction with G-protein-coupled receptors. Cellular Signalling. 19(10). 2174–2182. 19 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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