Karolina Ebert
Impact in
- Immunology top 1%
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- interferon and immune responses
- Psoriasis: Treatment and Pathogenesis
- Immune Response and Inflammation
- Parasitology top 10%
Papers in
- Immunology 10
- T-cell and B-cell Immunology 4
- IL-33, ST2, and ILC Pathways 4
- Immunodeficiency and Autoimmune Disorders 1
- interferon and immune responses 1
-
- Cellular transport and secretion 1
- Co-authors
- Yakup Tanriver (8 shared papers)Christoph S. N. Klose (5 shared papers)Andreas Diefenbach (4 shared papers)Thomas Hoyler (2 shared papers)Sebastian J. Arnold (4 shared papers)Vera Schwierzeck (1 shared paper)Ari Waisman (1 shared paper)Andrew L. Croxford (1 shared paper)
- Journals
- Mucosal Immunology (2 papers)Immunity (2 papers)Nature Immunology (1 paper)Science Advances (1 paper)Journal of Investigative Dermatology (1 paper)
- Partner nations
- GermanySwitzerlandSweden
In The Last Decade
Karolina Ebert
10 papers receiving 1.9k citations
Karolina Ebert's Hit Papers
Peers
Comparison fields: 5 of 53
- Immunology 1.6k
- Parasitology 30
- Gastroenterology 17
- Genetics 66
- Dermatology 18
Countries citing papers authored by Karolina Ebert
This map shows the geographic impact of Karolina 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 Karolina Ebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karolina Ebert more than expected).
Fields of papers citing papers by Karolina Ebert
This network shows the impact of papers produced by Karolina 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 Karolina Ebert. The network helps show where Karolina Ebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Karolina 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 | Differentiation of Type 1 ILCs from a Common Progenitor to All Helper-like Innate Lymphoid Cell Lineages Hit paper breakdown → | 2014 | 926 |
| 2 | A T-bet gradient controls the fate and function of CCR6−RORγt+ innate lymphoid cells Hit paper breakdown → | 2013 | 633 |
| 3 | 2014 | 108 | |
| 4 | 2019 | 79 | |
| 5 | 2020 | 67 | |
| 6 | 2018 | 33 | |
| 7 | 2017 | 22 | |
| 8 | 2019 | 14 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 1 |
About Karolina Ebert
Karolina Ebert is a scholar working on Immunology, Cell Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 10 papers that have together received 1.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), IL-33, ST2, and ILC Pathways (4 papers), Cellular transport and secretion (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (1.6k citations), Parasitology (30 citations), Gastroenterology (17 citations), Genetics (66 citations) and Dermatology (18 citations). Karolina Ebert has collaborated with scholars based in Germany, Switzerland and Sweden. Frequent co-authors include Yakup Tanriver, Christoph S. N. Klose, Andreas Diefenbach, Thomas Hoyler, Sebastian J. Arnold, Vera Schwierzeck, Ari Waisman, Andrew L. Croxford, Elina A. Kiss and Luisa Möhle. Their work appears in journals such as Mucosal Immunology, Immunity, Nature Immunology, Science Advances and Journal of Investigative Dermatology.
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.