Oliver Egeter

1.8k total citations
9 papers, 1.5k citations indexed

About

Oliver Egeter is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, Oliver Egeter has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Oliver Egeter's work include Bacterial Genetics and Biotechnology (4 papers), Immune Cell Function and Interaction (4 papers) and Research on Leishmaniasis Studies (3 papers). Oliver Egeter is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), Immune Cell Function and Interaction (4 papers) and Research on Leishmaniasis Studies (3 papers). Oliver Egeter collaborates with scholars based in Germany, Austria and Switzerland. Oliver Egeter's co-authors include Martin Röcken, Klaus Heeg, Hermann Wagner, Stefan Zimmermann, Grayson B. Lipford, Stefan Hausmann, Susanne Hausmann, Reinhold Brückner, Alain Gumy and Jacques Louis and has published in prestigious journals such as Immunity, Nature Immunology and The Journal of Immunology.

In The Last Decade

Oliver Egeter

9 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oliver Egeter Germany	9	1.1k	278	265	249	160	9	1.5k
Guy T. Layton United Kingdom	22	794 0.7×	561 2.0×	321 1.2×	221 0.9×	135 0.8×	50	1.7k
Alun C. Kirby United Kingdom	19	662 0.6×	243 0.9×	287 1.1×	217 0.9×	61 0.4×	31	1.3k
Susanne Hausmann Germany	5	1.4k 1.3×	453 1.6×	260 1.0×	101 0.4×	210 1.3×	6	1.8k
Kazunari Ishii Japan	20	580 0.5×	256 0.9×	230 0.9×	165 0.7×	181 1.1×	40	1.1k
Oleg S. Targoni United States	12	1.1k 1.0×	324 1.2×	227 0.9×	62 0.2×	103 0.6×	18	1.5k
I. McConnell United Kingdom	27	1.0k 1.0×	258 0.9×	572 2.2×	129 0.5×	109 0.7×	68	1.9k
Minh-Duc Nguyen United States	9	1.3k 1.2×	390 1.4×	227 0.9×	67 0.3×	63 0.4×	9	1.7k
Muguette Jéhanno France	12	1.3k 1.2×	769 2.8×	366 1.4×	98 0.4×	135 0.8×	17	2.1k
Eiríkur Saeland Netherlands	22	869 0.8×	736 2.6×	389 1.5×	93 0.4×	89 0.6×	36	1.6k
Jacqueline Conover United States	14	1.7k 1.6×	770 2.8×	412 1.6×	104 0.4×	99 0.6×	21	2.4k

Countries citing papers authored by Oliver Egeter

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Egeter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Egeter

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Egeter. A scholar is included among the top collaborators of Oliver Egeter 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 Oliver Egeter. Oliver Egeter 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

Mocikat, Ralph, Heidi Braumüller, Alain Gumy, et al.. (2003). Natural Killer Cells Activated by MHC Class ILow Targets Prime Dendritic Cells to Induce Protective CD8 T Cell Responses. Immunity. 19(4). 561–569. 332 indexed citations

Biedermann, Tilo, Stephan Zimmermann, Hayo Himmelrich, et al.. (2001). IL-4 instructs TH1 responses and resistance to Leishmania major in susceptible BALB/c mice. Nature Immunology. 2(11). 1054–1060. 230 indexed citations

Janković, Ivana, Oliver Egeter, & Reinhold Brückner. (2001). Analysis of Catabolite Control Protein A-Dependent Repression in Staphylococcus xylosus by a Genomic Reporter Gene System. Journal of Bacteriology. 183(2). 580–586. 23 indexed citations

Egeter, Oliver, Ralph Mocikat, Kamran Ghoreschi, Andreas Dieckmann, & Martin Röcken. (2000). Eradication of disseminated lymphomas with CpG-DNA activated T helper type 1 cells from nontransgenic mice.. PubMed. 60(6). 1515–20. 60 indexed citations

Zimmermann, Stefan, Oliver Egeter, Susanne Hausmann, et al.. (1998). Cutting Edge: CpG Oligodeoxynucleotides Trigger Protective and Curative Th1 Responses in Lethal Murine Leishmaniasis. The Journal of Immunology. 160(8). 3627–3630. 328 indexed citations

Zimmermann, Stefan, Oliver Egeter, Stefan Hausmann, et al.. (1998). CpG oligodeoxynucleotides trigger protective and curative Th1 responses in lethal murine leishmaniasis.. PubMed. 160(8). 3627–30. 386 indexed citations

Egeter, Oliver & Reinhold Brückner. (1996). Catabolite repression mediated by the catabolite control protein CcpA in Staphylococcus xylosus. Molecular Microbiology. 21(4). 739–749. 77 indexed citations

Wagner, Ernst, et al.. (1995). Glucose kinase-dependent catabolite repression in Staphylococcus xylosus. Journal of Bacteriology. 177(21). 6144–6152. 52 indexed citations

Egeter, Oliver & R Brückner. (1995). Characterization of a genetic locus essential for maltose-maltotriose utilization in Staphylococcus xylosus. Journal of Bacteriology. 177(9). 2408–2415. 33 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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