Stefan Ebert
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Mast cells and histamine
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Epidemiology top 10%
- Cytomegalovirus and herpesvirus research
Papers in
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- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 3
- Mast cells and histamine 3
- T-cell and B-cell Immunology 2
- Epidemiology 10
- Cytomegalovirus and herpesvirus research 9
- Autophagy in Disease and Therapy 1
- Co-authors
- Matthias Johannes Reddehase (11 shared papers)Jürgen Podlech (7 shared papers)Rafaela Holtappels (6 shared papers)Niels A. W. Lemmermann (8 shared papers)Doris Thomas (4 shared papers)Kirsten Freitag (3 shared papers)Angélique Renzaho (3 shared papers)Michael Stassen (3 shared papers)
In The Last Decade
Stefan Ebert
16 papers receiving 672 citations
Stefan Ebert's Hit Papers
Peers
Comparison fields: 5 of 59
- Immunology 258
- Epidemiology 227
- Oncology 140
- Cancer Research 65
- Virology 6
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 | Linoleic acid potentiates CD8+ T cell metabolic fitness and antitumor immunity Hit paper breakdown → | 2023 | 233 |
| 2 | 2011 | 72 | |
| 3 | 2011 | 69 | |
| 4 | 2014 | 59 | |
| 5 | 2019 | 41 | |
| 6 | 2012 | 32 | |
| 7 | 2012 | 29 | |
| 8 | 2014 | 29 | |
| 9 | 2015 | 23 | |
| 10 | 2010 | 19 | |
| 11 | 2012 | 19 | |
| 12 | 2016 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2015 | 11 | |
| 15 | 2023 | 5 | |
| 16 | 2025 | 2 |
About Stefan Ebert
Stefan Ebert is a scholar working on Immunology, Epidemiology, Oncology, Cell Biology and Neurology, having authored 16 papers that have together received 676 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (9 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), Mast cells and histamine (3 papers), Cellular transport and secretion (2 papers), T-cell and B-cell Immunology (2 papers) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Immunology (258 citations), Epidemiology (227 citations), Oncology (140 citations), Cancer Research (65 citations) and Virology (6 citations). Stefan Ebert has collaborated with scholars based in Germany, Italy and Croatia. Frequent co-authors include Matthias Johannes Reddehase, Jürgen Podlech, Rafaela Holtappels, Niels A. W. Lemmermann, Doris Thomas, Kirsten Freitag, Angélique Renzaho, Michael Stassen, Christof K. Seckert and Maja Mitrović. Their work appears in journals such as Medical Microbiology and Immunology, Frontiers in Immunology, Journal of General Virology, PLoS Pathogens and Cell Metabolism.
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.