Eva Sevcsik
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Molecular Biology top 10%
- Lipid Membrane Structure and Behavior
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- Biochemical and Structural Characterization
Papers in
- Co-authors
- Gerhard J. SchützKarl LohnerGeorg PabstElizabeth RhoadesMario BrameshuberAdam TrexlerJohannes B. HuppaAlexander Jilek
- Journals
- Biophysical Journal (8 papers)Journal of the American Chemical Society (2 papers)Nature Communications (2 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (2 papers)Journal of Physics D Applied Physics (2 papers)
- Partner nations
- AustriaGermanyUnited Kingdom
In The Last Decade
Eva Sevcsik
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Microbiology 213
- Molecular Biology 793
- Biophysics 64
- Immunology 222
- Neurology 106
Countries citing papers authored by Eva Sevcsik
This map shows the geographic impact of Eva Sevcsik'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 Sevcsik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Sevcsik more than expected).
Fields of papers citing papers by Eva Sevcsik
This network shows the impact of papers produced by Eva Sevcsik. 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 Sevcsik. The network helps show where Eva Sevcsik may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eva Sevcsik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 10 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 82 | |
| 6 | 2021 | 29 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 4 | |
| 9 | 2019 | 10 | |
| 10 | 2019 | 1 | |
| 11 | 2019 | 21 | |
| 12 | 2019 | 10 | |
| 13 | 2018 | 2 | |
| 14 | 2018 | 91 | |
| 15 | 2017 | 12 | |
| 16 | 2016 | 4 | |
| 17 | 2015 | 97 | |
| 18 | 2007 | 85 | |
| 19 | 2007 | 6 | |
| 20 | 2005 | 111 |
About Eva Sevcsik
Eva Sevcsik is a scholar working on Structural Biology, Microbiology, Immunology, Cell Biology and Biophysics, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (13 papers), CAR-T cell therapy research (7 papers), T-cell and B-cell Immunology (7 papers), Nanopore and Nanochannel Transport Studies (6 papers), RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Immunotherapy and Immune Responses (5 papers) and Nanofabrication and Lithography Techniques (5 papers). The work is most often cited by research in Microbiology (213 citations), Molecular Biology (793 citations), Biophysics (64 citations), Immunology (222 citations) and Neurology (106 citations). Eva Sevcsik has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Gerhard J. Schütz, Karl Lohner, Georg Pabst, Elizabeth Rhoades, Mario Brameshuber, Adam Trexler, Johannes B. Huppa, Alexander Jilek, Julian Weghuber and Anthony R. Braun. Their work appears in journals such as Biophysical Journal, Journal of the American Chemical Society, Nature Communications, Biochimica et Biophysica Acta (BBA) - Biomembranes and Journal of Physics D Applied Physics.
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.