Eva M. Egelseer

2.2k total citations
35 papers, 1.6k citations indexed

About

Eva M. Egelseer is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Eva M. Egelseer has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 21 papers in Ecology and 13 papers in Genetics. Recurrent topics in Eva M. Egelseer's work include Bacteriophages and microbial interactions (21 papers), Bacterial Genetics and Biotechnology (13 papers) and RNA and protein synthesis mechanisms (13 papers). Eva M. Egelseer is often cited by papers focused on Bacteriophages and microbial interactions (21 papers), Bacterial Genetics and Biotechnology (13 papers) and RNA and protein synthesis mechanisms (13 papers). Eva M. Egelseer collaborates with scholars based in Austria, Germany and United States. Eva M. Egelseer's co-authors include Uwe B. Sleytr, Nicola Ilk, Margit Sára, Bernhard Schuster, Dietmar Pum, Carina Huber, Stefan Weigert, Andreas Breitwieser, Diethard Mattanovich and W. Moll and has published in prestigious journals such as The Journal of Immunology, Journal of Molecular Biology and Applied and Environmental Microbiology.

In The Last Decade

Eva M. Egelseer

35 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
Eva M. Egelseer Austria 22 1.1k 769 291 262 211 35 1.6k
Nicola Ilk Austria 21 758 0.7× 517 0.7× 167 0.6× 227 0.9× 230 1.1× 29 1.3k
M Sára Austria 20 829 0.8× 593 0.8× 275 0.9× 179 0.7× 101 0.5× 28 1.2k
Carina Huber Austria 15 484 0.4× 310 0.4× 123 0.4× 134 0.5× 110 0.5× 24 871
Stanley Brown Denmark 23 1.5k 1.4× 554 0.7× 520 1.8× 332 1.3× 87 0.4× 40 2.2k
Koki Sato Japan 27 1.4k 1.3× 378 0.5× 360 1.2× 89 0.3× 34 0.2× 110 2.2k
Tobias W. Giessen United States 28 1.4k 1.3× 469 0.6× 168 0.6× 168 0.6× 29 0.1× 55 2.3k
Kevin Yehl United States 17 799 0.7× 383 0.5× 64 0.2× 493 1.9× 230 1.1× 26 1.6k
Jürgen Peters Germany 18 1.1k 1.0× 342 0.4× 271 0.9× 87 0.3× 75 0.4× 34 1.4k
Charlene M. Mello United States 22 794 0.7× 219 0.3× 52 0.2× 245 0.9× 146 0.7× 36 1.4k
Timothy J. Knowles United Kingdom 23 2.0k 1.8× 170 0.2× 534 1.8× 238 0.9× 132 0.6× 46 2.6k

Countries citing papers authored by Eva M. Egelseer

Since Specialization
Citations

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

Fields of papers citing papers by Eva M. Egelseer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva M. Egelseer. 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 Eva M. Egelseer. The network helps show where Eva M. Egelseer may publish in the future.

Co-authorship network of co-authors of Eva M. Egelseer

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

All Works

20 of 20 papers shown
1.
Egelseer, Eva M., et al.. (2013). Surface‐Layer Lattices as Patterning Element for Multimeric Extremozymes. Small. 9(22). 3887–3894. 9 indexed citations
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Egelseer, Eva M., et al.. (2012). Crystallization of domains involved in self-assembly of the S-layer protein SbsC. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 68(12). 1511–1514. 6 indexed citations
4.
Ilk, Nicola, Eva M. Egelseer, & Uwe B. Sleytr. (2011). S-layer fusion proteins — construction principles and applications. Current Opinion in Biotechnology. 22(6). 824–831. 77 indexed citations
5.
Ilk, Nicola, et al.. (2011). Multitechnique study on a recombinantly producedBacillus haloduranslaccase and an S-layer/laccase fusion protein. Biointerphases. 6(2). 63–72. 10 indexed citations
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Sleytr, Uwe B., Bernhard Schuster, Eva M. Egelseer, et al.. (2011). Nanobiotechnology with S-Layer Proteins as Building Blocks. Progress in molecular biology and translational science. 103. 277–352. 45 indexed citations
8.
Pavkov‐Keller, Tea, et al.. (2009). Towards the structure of the C-terminal part of the S-layer protein SbsC. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 65(10). 1042–1047. 4 indexed citations
9.
Egelseer, Eva M., et al.. (2009). Identifying Assembly-Inhibiting and Assembly-Tolerant Sites in the SbsB S-Layer Protein from Geobacillus stearothermophilus. Journal of Molecular Biology. 395(4). 742–753. 11 indexed citations
10.
Huber, Carina, Tea Pavkov‐Keller, Walter Keller, et al.. (2009). The high‐molecular‐mass amylase (HMMA) of Geobacillus stearothermophilus ATCC 12980 interacts with the cell wall components by virtue of three specific binding regions. Molecular Microbiology. 72(6). 1448–1461. 12 indexed citations
11.
Gerstmayr, Marianne, Nicola Ilk, Irma Schabussová, et al.. (2007). A Novel Approach to Specific Allergy Treatment: The Recombinant Allergen-S-Layer Fusion Protein rSbsC-Bet v 1 Matures Dendritic Cells That Prime Th0/Th1 and IL-10-Producing Regulatory T Cells. The Journal of Immunology. 179(11). 7270–7275. 35 indexed citations
12.
Sleytr, Uwe B., Carina Huber, Nicola Ilk, et al.. (2007). S-layers as a tool kit for nanobiotechnological applications. FEMS Microbiology Letters. 267(2). 131–144. 148 indexed citations
13.
Huber, Carina, Eva M. Egelseer, Nicola Ilk, Uwe B. Sleytr, & Margit Sára. (2006). S-layer-streptavidin fusion proteins and S-layer-specific heteropolysaccharides as part of a biomolecular construction kit for application in nanobiotechnology. Microelectronic Engineering. 83(4-9). 1589–1593. 14 indexed citations
14.
Huber, Carina, Jing Liu, Eva M. Egelseer, et al.. (2005). Heterotetramers Formed by an S‐Layer–Streptavidin Fusion Protein and Core‐Streptavidin as a Nanoarrayed Template for Biochip Development. Small. 2(1). 142–150. 35 indexed citations
15.
Huber, Carina, Nicola Ilk, Dominik Rünzler, et al.. (2004). The three S‐layer‐like homology motifs of the S‐layer protein SbpA of Bacillus sphaericus CCM 2177 are not sufficient for binding to the pyruvylated secondary cell wall polymer. Molecular Microbiology. 55(1). 197–205. 59 indexed citations
16.
Pavkov‐Keller, Tea, Monika Oberer, Eva M. Egelseer, et al.. (2003). Crystallization and preliminary structure determination of the C-terminal truncated domain of the S-layer protein SbsC. Acta Crystallographica Section D Biological Crystallography. 59(8). 1466–1468. 19 indexed citations
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Matuschek, Markus, et al.. (1999). Cell wall of Thermoanaerobacterium thermosulfurigenes EM1: isolation of its components and attachment of the xylanase XynA. Archives of Microbiology. 171(3). 159–165. 16 indexed citations
20.
Stan‐Lotter, Helga, et al.. (1993). Comparison of membrane ATPases from extreme halophiles isolated from ancient salt deposits. Origins of Life and Evolution of Biospheres. 23(1). 53–64. 20 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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