Anja Ebert

4.8k citations
28 papers · 3.5k indexed · 1 hit paper · h-index 22
  • Immunology top 5%
    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 3
    • Genomics and Chromatin Dynamics 11
    • Epigenetics and DNA Methylation 7
    • Cancer-related gene regulation 6
    • Protein Degradation and Inhibitors 4
  • Neurology top 5%
  • Hematology top 5%
    • Acute Myeloid Leukemia Research 4
  • Aging top 10%

Anja Ebert

28 papers receiving 3.4k citations

Hit Papers

A silencing pathway to induce H3-K9 and H4-K20 trimethyla...8502004202620112018250500750

Peers

Anja Ebert
Comparison fields: 5 of 100
  • Immunology 887
  • Molecular Biology 2.5k
  • Neurology 269
  • Hematology 244
  • Aging 34
Replace Marion Leleu with:
Marion Leleu Switzerland
Niels Vandamme Belgium
Tracy L. Hagemann United States
Lara S. Collier United States
Jan‐Philipp Mallm Germany
Elizabeth Bosch United States
Sarah J. Heasman United Kingdom
Thomas Vaccari Italy
Eveline J. Steine United States
Boaz P. Levi United States
Anja Ebert relative to Marion Leleu Switzerland Marion Leleu's profile →
Citations per field
00.5×6.1×
Marion Leleu · 1×
Citations per year

Countries citing papers authored by Anja Ebert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Anja Ebert Line = papers co-authored together Anja Ebert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 202219
4 202129
5 202137
6 202083
7 2018237
8 2018324
9 201539
10 2014158
11 20137
12 2011167
13 20119
14 2011106
15 2011200
16 2011104
17 2006162
18 2004218
19 2003158
20 200378

About Anja Ebert

Anja Ebert is a scholar working on Immunology, Hematology and Molecular Biology, having authored 28 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (11 papers), Immune Cell Function and Interaction (9 papers), Epigenetics and DNA Methylation (7 papers), T-cell and B-cell Immunology (7 papers), Cancer-related gene regulation (6 papers), Acute Myeloid Leukemia Research (4 papers), Protein Degradation and Inhibitors (4 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (887 citations), Molecular Biology (2.5k citations) and Neurology (269 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, Roopsha Sengupta, Danny Reinberg, Monika Lachner, Kavitha Sarma and Sandro Lein. Their work appears in journals such as Genes & Development, The EMBO Journal, Blood, Immunity and Nature.

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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