Stefan Ewert
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Molecular Biology top 10%
- Protein purification and stability
- Glycosylation and Glycoproteins Research
- Viral Infectious Diseases and Gene Expression in Insects
- vaccines and immunoinformatics approaches
- Advanced Biosensing Techniques and Applications
Papers in
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- Monoclonal and Polyclonal Antibodies Research 9
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- Glycosylation and Glycoproteins Research 5
- Protein purification and stability 3
- Advanced Biosensing Techniques and Applications 1
- Co-authors
- Andreas Plückthun (3 shared papers)Annemarie Honegger (2 shared papers)Thomas Huber (1 shared paper)Christian Cambillau (1 shared paper)Katja Conrath (1 shared paper)Stephan Bek (1 shared paper)Francis Bitsch (1 shared paper)Darrell Ricke (1 shared paper)
- Journals
- Biochemistry (2 papers)Bioinformatics (1 paper)Methods (1 paper)EMBO Molecular Medicine (1 paper)FEBS Letters (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Stefan Ewert
11 papers receiving 955 citations
Peers
Comparison fields: 5 of 63
- Radiology, Nuclear Medicine and Imaging 719
- Molecular Biology 761
- Immunology 177
- Biotechnology 52
- Immunology and Allergy 25
Countries citing papers authored by Stefan Ewert
This map shows the geographic impact of Stefan Ewert'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 Stefan Ewert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Ewert more than expected).
Fields of papers citing papers by Stefan Ewert
This network shows the impact of papers produced by Stefan Ewert. 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 Stefan Ewert. The network helps show where Stefan Ewert may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Ewert, 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 | 2002 | 263 | |
| 2 | 2004 | 180 | |
| 3 | 2002 | 153 | |
| 4 | 2019 | 108 | |
| 5 | 2008 | 94 | |
| 6 | 2003 | 80 | |
| 7 | 2009 | 57 | |
| 8 | 2000 | 31 | |
| 9 | 2020 | 15 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 2 |
About Stefan Ewert
Stefan Ewert is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology and Hematology, having authored 11 papers that have together received 995 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Glycosylation and Glycoproteins Research (5 papers), Protein purification and stability (3 papers), Protease and Inhibitor Mechanisms (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Muscle metabolism and nutrition (1 paper) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (719 citations), Molecular Biology (761 citations), Immunology (177 citations), Biotechnology (52 citations) and Immunology and Allergy (25 citations). Stefan Ewert has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Andreas Plückthun, Annemarie Honegger, Thomas Huber, Christian Cambillau, Katja Conrath, Stephan Bek, Francis Bitsch, Darrell Ricke, Rocco Falchetto and David K. Gifford. Their work appears in journals such as Biochemistry, Bioinformatics, Methods, EMBO Molecular Medicine and FEBS Letters.
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.