Eva M. Egelseer
Impact in
- Structural Biology top 5%
- Ecology top 2%
- Bacteriophages and microbial interactions
Papers in
-
- RNA and protein synthesis mechanisms 13
- Genomics and Phylogenetic Studies 5
- Ecology 21
- Bacteriophages and microbial interactions 21
- Co-authors
- Uwe B. Sleytr (33 shared papers)Nicola Ilk (16 shared papers)Margit Sára (18 shared papers)Bernhard Schuster (4 shared papers)Dietmar Pum (3 shared papers)Carina Huber (6 shared papers)Stefan Weigert (4 shared papers)Andreas Breitwieser (2 shared papers)
- Journals
- Journal of Bacteriology (5 papers)Microbiology (3 papers)Archives of Microbiology (3 papers)Molecular Microbiology (2 papers)Bioconjugate Chemistry (2 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Eva M. Egelseer
35 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 81
- Structural Biology 65
- Ecology 769
- Biotechnology 141
- Molecular Biology 1.1k
- Biomaterials 156
Countries citing papers authored by Eva M. Egelseer
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
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-authors
The 25 scholars most cited alongside Eva M. Egelseer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 148 | |
| 2 | 2006 | 136 | |
| 3 | 2002 | 106 | |
| 4 | 2004 | 92 | |
| 5 | 1999 | 90 | |
| 6 | 2004 | 81 | |
| 7 | 2011 | 77 | |
| 8 | 1998 | 73 | |
| 9 | 2001 | 72 | |
| 10 | 2008 | 66 | |
| 11 | 2000 | 64 | |
| 12 | 2004 | 59 | |
| 13 | 2004 | 54 | |
| 14 | 2002 | 48 | |
| 15 | 2003 | 46 | |
| 16 | 2011 | 45 | |
| 17 | 1998 | 42 | |
| 18 | 2011 | 39 | |
| 19 | 1998 | 36 | |
| 20 | 2007 | 35 |
About Eva M. Egelseer
Eva M. Egelseer is a scholar working on Molecular Biology, Ecology, Genetics, Materials Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (21 papers), Bacterial Genetics and Biotechnology (13 papers), RNA and protein synthesis mechanisms (13 papers), Enzyme Structure and Function (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Genomics and Phylogenetic Studies (5 papers), Allergic Rhinitis and Sensitization (4 papers) and Food Allergy and Anaphylaxis Research (4 papers). The work is most often cited by research in Structural Biology (65 citations), Ecology (769 citations), Biotechnology (141 citations), Molecular Biology (1.1k citations) and Biomaterials (156 citations). Eva M. Egelseer has collaborated with scholars based in Austria, Germany and United States. Frequent 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. Their work appears in journals such as Journal of Bacteriology, Microbiology, Archives of Microbiology, Molecular Microbiology and Bioconjugate Chemistry.
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.