Stefan Faath
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Epidemiology top 10%
- Cervical Cancer and HPV Research
- Hepatitis B Virus Studies
Papers in
- Immunology 11
- Immunotherapy and Immune Responses 11
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- Immune Response and Inflammation 2
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- vaccines and immunoinformatics approaches 3
- Heat shock proteins research 2
- Co-authors
- Hans‐Georg Rammensee (4 shared papers)Olaf Rötzschke (3 shared papers)Kirsten Falk (3 shared papers)Hansjörg Schild (2 shared papers)Danièle Arnold (2 shared papers)Hans‐Joachim Wallny (2 shared papers)Lutz Gissmann (5 shared papers)Ingrid Jochmus (5 shared papers)
- Journals
- The Journal of Experimental Medicine (3 papers)Cellular Immunology (2 papers)International Journal of Cancer (2 papers)Journal of Virology (1 paper)International Immunology (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Stefan Faath
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 54
- Immunology 903
- Epidemiology 323
- Virology 39
- Molecular Biology 452
- Cell Biology 94
Countries citing papers authored by Stefan Faath
This map shows the geographic impact of Stefan Faath'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 Faath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Faath more than expected).
Fields of papers citing papers by Stefan Faath
This network shows the impact of papers produced by Stefan Faath. 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 Faath. The network helps show where Stefan Faath may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Faath, 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 | 1995 | 279 | |
| 2 | 1991 | 183 | |
| 3 | 1990 | 173 | |
| 4 | 1999 | 109 | |
| 5 | 2003 | 87 | |
| 6 | 1997 | 70 | |
| 7 | 1997 | 68 | |
| 8 | 1999 | 56 | |
| 9 | 2001 | 52 | |
| 10 | 1992 | 45 | |
| 11 | 1993 | 24 | |
| 12 | 1993 | 17 | |
| 13 | 1999 | 3 |
About Stefan Faath
Stefan Faath is a scholar working on Immunology, Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), vaccines and immunoinformatics approaches (3 papers), Heat shock proteins research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Response and Inflammation (2 papers) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Immunology (903 citations), Epidemiology (323 citations), Virology (39 citations), Molecular Biology (452 citations) and Cell Biology (94 citations). Stefan Faath has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Hans‐Georg Rammensee, Olaf Rötzschke, Kirsten Falk, Hansjörg Schild, Danièle Arnold, Hans‐Joachim Wallny, Lutz Gissmann, Ingrid Jochmus, Wolfram Osen and Martin Müller. Their work appears in journals such as The Journal of Experimental Medicine, Cellular Immunology, International Journal of Cancer, Journal of Virology and International Immunology.
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.