Stefan Ebert
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Mast cells and histamine
- Immunotherapy and Immune Responses
- Epidemiology top 10%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
- Immunology 11
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 4
- Mast cells and histamine 3
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- Cytomegalovirus and herpesvirus research 8
- Herpesvirus Infections and Treatments 5
- Co-authors
- Matthias J. Reddehase (11 shared papers)Jürgen Podlech (7 shared papers)Niels A. W. Lemmermann (8 shared papers)Rafaela Holtappels (6 shared papers)Doris Thomas (4 shared papers)Kirsten Freitag (3 shared papers)Angélique Renzaho (3 shared papers)Marc A. Becker (3 shared papers)
In The Last Decade
Stefan Ebert
16 papers receiving 432 citations
Peers
Comparison fields: 5 of 57
- Immunology 300
- Epidemiology 254
- Parasitology 36
- Immunology and Allergy 22
- Virology 12
Countries citing papers authored by Stefan Ebert
This map shows the geographic impact of Stefan Ebert'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 Ebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Ebert more than expected).
Fields of papers citing papers by Stefan Ebert
This network shows the impact of papers produced by Stefan Ebert. 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 Ebert. The network helps show where Stefan Ebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Ebert, 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 | 2011 | 71 | |
| 2 | 2011 | 66 | |
| 3 | 2014 | 57 | |
| 4 | 2019 | 38 | |
| 5 | 2012 | 32 | |
| 6 | 2012 | 29 | |
| 7 | 2014 | 27 | |
| 8 | 2015 | 23 | |
| 9 | 2012 | 19 | |
| 10 | 2010 | 19 | |
| 11 | 2021 | 16 | |
| 12 | 2016 | 16 | |
| 13 | 2015 | 10 | |
| 14 | 2018 | 9 | |
| 15 | 2021 | 2 | |
| 16 | 2025 | 1 |
About Stefan Ebert
Stefan Ebert is a scholar working on Immunology, Epidemiology, Neurology, Oncology and Agronomy and Crop Science, having authored 16 papers that have together received 435 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Cytomegalovirus and herpesvirus research (8 papers), Herpesvirus Infections and Treatments (5 papers), T-cell and B-cell Immunology (4 papers), Mast cells and histamine (3 papers), Crop Yield and Soil Fertility (2 papers), Toxoplasma gondii Research Studies (2 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Immunology (300 citations), Epidemiology (254 citations), Parasitology (36 citations), Immunology and Allergy (22 citations) and Virology (12 citations). Stefan Ebert has collaborated with scholars based in Germany, Italy and Croatia. Frequent co-authors include Matthias J. Reddehase, Jürgen Podlech, Niels A. W. Lemmermann, Rafaela Holtappels, Doris Thomas, Kirsten Freitag, Angélique Renzaho, Marc A. Becker, Michael Stassen and Christof K. Seckert. Their work appears in journals such as Medical Microbiology and Immunology, Journal of General Virology, PLoS Pathogens, Journal of Experimental & Clinical Cancer Research and Journal of Virology.
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.