Anja Ebert
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- Genomics and Chromatin Dynamics 11
- Epigenetics and DNA Methylation 7
- Cancer-related gene regulation 6
- Protein Degradation and Inhibitors 4
- Immunology 12
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 7
- Co-authors
- Gunnar Schotta (6 shared papers)Günter Reuter (6 shared papers)Meinrad Busslinger (15 shared papers)Thomas Jenuwein (2 shared papers)Hiromi Tagoh (9 shared papers)Monika Lachner (1 shared paper)Danny Reinberg (1 shared paper)Roopsha Sengupta (1 shared paper)
- Journals
- The EMBO Journal (3 papers)Genes & Development (3 papers)Immunity (2 papers)Blood (2 papers)Chromosome Research (2 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Anja Ebert
28 papers receiving 3.6k citations
Anja Ebert's Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 905
- Molecular Biology 2.6k
- Neurology 274
- Hematology 246
- Aging 36
Countries citing papers authored by Anja Ebert
This map shows the geographic impact of Anja 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 Anja Ebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anja Ebert more than expected).
Fields of papers citing papers by Anja Ebert
This network shows the impact of papers produced by Anja 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 Anja Ebert. The network helps show where Anja Ebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Anja 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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A silencing pathway to induce H3-K9 and H4-K20 trimethylation at constitutive heterochromatin Hit paper breakdown → | 2004 | 899 |
| 2 | 2018 | 338 | |
| 3 | 2018 | 247 | |
| 4 | 2004 | 231 | |
| 5 | 2011 | 208 | |
| 6 | 2011 | 175 | |
| 7 | 2006 | 173 | |
| 8 | 2012 | 168 | |
| 9 | 2003 | 167 | |
| 10 | 2014 | 166 | |
| 11 | 2013 | 115 | |
| 12 | 2011 | 113 | |
| 13 | 2011 | 112 | |
| 14 | 2010 | 104 | |
| 15 | 2020 | 93 | |
| 16 | 2003 | 80 | |
| 17 | 2018 | 62 | |
| 18 | 2021 | 42 | |
| 19 | 2015 | 41 | |
| 20 | 2021 | 31 |
About Anja Ebert
Anja Ebert is a scholar working on Molecular Biology, Immunology, Hematology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 28 papers that have together received 3.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (11 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers), Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (6 papers), Protein Degradation and Inhibitors (4 papers), Acute Myeloid Leukemia Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology (905 citations), Molecular Biology (2.6k citations), Neurology (274 citations), Hematology (246 citations) and Aging (36 citations). Anja Ebert has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Gunnar Schotta, Günter Reuter, Meinrad Busslinger, Thomas Jenuwein, Hiromi Tagoh, Monika Lachner, Danny Reinberg, Roopsha Sengupta, Kavitha Sarma and Sandro Lein. Their work appears in journals such as The EMBO Journal, Genes & Development, Immunity, Blood and Chromosome Research.
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.