Daniela Schober
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
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- Viral Infections and Immunology Research
Papers in
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- RNA Interference and Gene Delivery 3
- Lipid Membrane Structure and Behavior 2
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- Viral Infections and Immunology Research 5
- Co-authors
- Renate Fuchs (8 shared papers)Dieter Blaas (6 shared papers)Nora Bayer (5 shared papers)Robert F. Murphy (4 shared papers)Peter Kronenberger (3 shared papers)Manfred Hüttinger (1 shared paper)Ernst Wagner (2 shared papers)Marianne Brabec (1 shared paper)
- Journals
- Journal of Virology (3 papers)Archives of Virology (1 paper)Journal of Biological Chemistry (1 paper)Electrophoresis (1 paper)Cell and Tissue Research (1 paper)
- Partner nations
- AustriaBelgiumUnited States
In The Last Decade
Daniela Schober
8 papers receiving 625 citations
Peers
Comparison fields: 5 of 68
- Cell Biology 129
- Cardiology and Cardiovascular Medicine 160
- Physiology 33
- Infectious Diseases 94
- Immunology 107
Countries citing papers authored by Daniela Schober
This map shows the geographic impact of Daniela Schober'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 Daniela Schober with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Schober more than expected).
Fields of papers citing papers by Daniela Schober
This network shows the impact of papers produced by Daniela Schober. 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 Daniela Schober. The network helps show where Daniela Schober may publish in the future.
Co-authors
The 12 scholars most cited alongside Daniela Schober, 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 | 1998 | 291 | |
| 2 | 2005 | 119 | |
| 3 | 1998 | 96 | |
| 4 | 2001 | 55 | |
| 5 | 2004 | 49 | |
| 6 | 1997 | 12 | |
| 7 | 1998 | 11 | |
| 8 | Establishment of an assay to determine adenovirus-induced endosome rupture required for receptor-mediated gene delivery | 2000 | 2 |
About Daniela Schober
Daniela Schober is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Cell Biology and Genetics, having authored 8 papers that have together received 635 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (5 papers), RNA Interference and Gene Delivery (3 papers), Virus-based gene therapy research (2 papers), Plant Virus Research Studies (2 papers), Lipid Membrane Structure and Behavior (2 papers), Respiratory viral infections research (2 papers), Cellular transport and secretion (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Cell Biology (129 citations), Cardiology and Cardiovascular Medicine (160 citations), Physiology (33 citations), Infectious Diseases (94 citations) and Immunology (107 citations). Daniela Schober has collaborated with scholars based in Austria, Belgium and United States. Frequent co-authors include Renate Fuchs, Dieter Blaas, Nora Bayer, Robert F. Murphy, Peter Kronenberger, Manfred Hüttinger, Ernst Wagner, Marianne Brabec, B. Rombaut and Opokua Ofori‐Anyinam. Their work appears in journals such as Journal of Virology, Archives of Virology, Journal of Biological Chemistry, Electrophoresis and Cell and Tissue Research.
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.