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
Papers in
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- Monoclonal and Polyclonal Antibodies Research 10
-
- Glycosylation and Glycoproteins Research 5
- Protein purification and stability 4
- 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)Francis Bitsch (1 shared paper)Rocco Falchetto (1 shared paper)Darrell Ricke (1 shared paper)
- Journals
- Biochemistry (2 papers)Methods (1 paper)Computational and Structural Biotechnology Journal (1 paper)FEBS Letters (1 paper)Annals of the Rheumatic Diseases (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Stefan Ewert
11 papers receiving 944 citations
Peers
Comparison fields: 5 of 63
- Radiology, Nuclear Medicine and Imaging 737
- Molecular Biology 791
- Immunology 195
- Biotechnology 54
- Immunology and Allergy 28
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 | 261 | |
| 2 | 2004 | 181 | |
| 3 | 2002 | 150 | |
| 4 | 2019 | 103 | |
| 5 | 2008 | 93 | |
| 6 | 2003 | 80 | |
| 7 | 2009 | 57 | |
| 8 | 2000 | 31 | |
| 9 | 2020 | 14 | |
| 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 Immunology, having authored 11 papers that have together received 984 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (5 papers), Protein purification and stability (4 papers), T-cell and B-cell Immunology (2 papers), Rheumatoid Arthritis Research and Therapies (1 paper), Protease and Inhibitor Mechanisms (1 paper), HER2/EGFR in Cancer Research (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (737 citations), Molecular Biology (791 citations), Immunology (195 citations), Biotechnology (54 citations) and Immunology and Allergy (28 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, Francis Bitsch, Rocco Falchetto, Darrell Ricke, Stephan Bek and David K. Gifford. Their work appears in journals such as Biochemistry, Methods, Computational and Structural Biotechnology Journal, FEBS Letters and Annals of the Rheumatic Diseases.
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.