Karolina Ebert

2.1k total citations · 2 hit papers
8 papers, 1.6k citations indexed

About

Karolina Ebert is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Karolina Ebert has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Surgery and 1 paper in Molecular Biology. Recurrent topics in Karolina Ebert's work include Immune Cell Function and Interaction (8 papers), IL-33, ST2, and ILC Pathways (6 papers) and T-cell and B-cell Immunology (3 papers). Karolina Ebert is often cited by papers focused on Immune Cell Function and Interaction (8 papers), IL-33, ST2, and ILC Pathways (6 papers) and T-cell and B-cell Immunology (3 papers). Karolina Ebert collaborates with scholars based in Germany, Switzerland and Austria. Karolina Ebert's co-authors include Yakup Tanriver, Christoph S. N. Klose, Andreas Diefenbach, Thomas Hoyler, Sebastian J. Arnold, Ari Waisman, Elina A. Kiss, Andrew L. Croxford, Vera Schwierzeck and Veronika Sexl and has published in prestigious journals such as Nature, Cell and Immunity.

In The Last Decade

Karolina Ebert

7 papers receiving 1.6k citations

Hit Papers

Differentiation of Type 1 ILCs from a Common Progenitor t... 2013 2026 2017 2021 2014 2013 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karolina Ebert Germany 7 1.5k 885 78 73 59 8 1.6k
Molly D. Smithgall United States 11 805 0.5× 391 0.4× 92 1.2× 66 0.9× 54 0.9× 13 940
M. Manghetti Italy 8 593 0.4× 617 0.7× 37 0.5× 77 1.1× 47 0.8× 12 927
T Parrello Italy 9 557 0.4× 301 0.3× 212 2.7× 144 2.0× 41 0.7× 20 886
Sarah J. Ballantyne United Kingdom 7 937 0.6× 443 0.5× 46 0.6× 55 0.8× 38 0.6× 7 1.2k
Caroline Peine Germany 8 588 0.4× 149 0.2× 112 1.4× 32 0.4× 51 0.9× 11 743
Amedeo Amedei Italy 11 412 0.3× 500 0.6× 52 0.7× 72 1.0× 31 0.5× 15 776
Ladislava Sebkova Italy 6 348 0.2× 279 0.3× 38 0.5× 48 0.7× 24 0.4× 17 506
Daniela B. Engler Switzerland 11 553 0.4× 618 0.7× 295 3.8× 63 0.9× 54 0.9× 11 976
Joshua Weiner United States 13 426 0.3× 210 0.2× 92 1.2× 99 1.4× 38 0.6× 46 777
Nicola Andina Switzerland 10 573 0.4× 162 0.2× 260 3.3× 104 1.4× 59 1.0× 16 921

Countries citing papers authored by Karolina Ebert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Karolina Ebert

This figure shows the co-authorship network connecting the top 25 collaborators of Karolina Ebert. A scholar is included among the top collaborators of Karolina Ebert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karolina Ebert. Karolina Ebert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Fiala, Gina J., Sagar Sagar, Rubí M.-H. Velasco Cárdenas, et al.. (2024). Kidins220 and Aiolos promote thymic iNKT cell development by reducing TCR signals. Science Advances. 10(11). eadj2802–eadj2802.
2.
Ye, Liang, Daniel Schnepf, Karolina Ebert, et al.. (2019). Interferon-λ enhances adaptive mucosal immunity by boosting release of thymic stromal lymphopoietin. Nature Immunology. 20(5). 593–601. 69 indexed citations
3.
Zeis, Patrice, Karolina Ebert, Christian Schachtrup, et al.. (2019). Single-cell RNA-sequencing identifies the developmental trajectory of C-Myc-dependent NK1.1− T-bet+ intraepithelial lymphocyte precursors. Mucosal Immunology. 13(2). 257–270. 13 indexed citations
4.
Rafei‐Shamsabadi, David, Stefanie Kunz, Stefan F. Martin, et al.. (2018). Lack of Type 2 Innate Lymphoid Cells Promotes a Type I-Driven Enhanced Immune Response in Contact Hypersensitivity. Journal of Investigative Dermatology. 138(9). 1962–1972. 28 indexed citations
5.
Klose, Christoph S. N., et al.. (2017). A committed postselection precursor to natural TCRαβ+ intraepithelial lymphocytes. Mucosal Immunology. 11(2). 333–344. 16 indexed citations
6.
Klose, Christoph S. N., Pedro P. Hernández, Karolina Ebert, et al.. (2014). The Transcription Factor T-bet Is Induced by IL-15 and Thymic Agonist Selection and Controls CD8αα+ Intraepithelial Lymphocyte Development. Immunity. 41(2). 230–243. 96 indexed citations
7.
Klose, Christoph S. N., Melanie Flach, Luisa Möhle, et al.. (2014). Differentiation of Type 1 ILCs from a Common Progenitor to All Helper-like Innate Lymphoid Cell Lineages. Cell. 157(2). 340–356. 840 indexed citations breakdown →
8.
Klose, Christoph S. N., Elina A. Kiss, Vera Schwierzeck, et al.. (2013). A T-bet gradient controls the fate and function of CCR6−RORγt+ innate lymphoid cells. Nature. 494(7436). 261–265. 567 indexed citations breakdown →

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.

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