Sonja Eberth
Impact in
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Epigenetics and DNA Methylation 5
- Cancer-related gene regulation 4
- RNA modifications and cancer 3
- Genomics and Phylogenetic Studies 2
-
- Lymphoma Diagnosis and Treatment 8
- Co-authors
- Hilmar Quentmeier (7 shared papers)Margarete Zaborski (4 shared papers)Hans G. Drexler (10 shared papers)Julia Romani (4 shared papers)Hans Drexler (2 shared papers)Stefan Nagel (10 shared papers)Claudia Pommerenke (8 shared papers)Dieter Kube (3 shared papers)
- Journals
- BMC Cancer (3 papers)Molecular Cancer Therapeutics (1 paper)Scientific Reports (1 paper)Biomarker Research (1 paper)PLoS Genetics (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Sonja Eberth
23 papers receiving 559 citations
Peers
Comparison fields: 5 of 88
- Hematology 107
- Genetics 95
- Pathology and Forensic Medicine 103
- Cancer Research 80
- Oncology 139
Countries citing papers authored by Sonja Eberth
This map shows the geographic impact of Sonja Eberth'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 Sonja Eberth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Eberth more than expected).
Fields of papers citing papers by Sonja Eberth
This network shows the impact of papers produced by Sonja Eberth. 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 Sonja Eberth. The network helps show where Sonja Eberth may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonja Eberth, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 95 | |
| 2 | 2019 | 62 | |
| 3 | 2018 | 45 | |
| 4 | 2012 | 45 | |
| 5 | 2014 | 44 | |
| 6 | 2019 | 40 | |
| 7 | 2012 | 33 | |
| 8 | 2010 | 30 | |
| 9 | 2013 | 29 | |
| 10 | 2018 | 24 | |
| 11 | 2014 | 23 | |
| 12 | 2016 | 21 | |
| 13 | 2015 | 17 | |
| 14 | 2018 | 14 | |
| 15 | 2014 | 11 | |
| 16 | 2024 | 10 | |
| 17 | 2016 | 9 | |
| 18 | 2018 | 6 | |
| 19 | 2021 | 3 | |
| 20 | 2019 | 2 |
About Sonja Eberth
Sonja Eberth is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Immunology, Cancer Research and Oncology, having authored 24 papers that have together received 566 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Epigenetics and DNA Methylation (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cancer Genomics and Diagnostics (4 papers), Cancer-related gene regulation (4 papers), Immune Cell Function and Interaction (3 papers), RNA modifications and cancer (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Hematology (107 citations), Genetics (95 citations), Pathology and Forensic Medicine (103 citations), Cancer Research (80 citations) and Oncology (139 citations). Sonja Eberth has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Hilmar Quentmeier, Margarete Zaborski, Hans G. Drexler, Julia Romani, Hans Drexler, Stefan Nagel, Claudia Pommerenke, Dieter Kube, Roderick A.F. MacLeod and Jörg Wilting. Their work appears in journals such as BMC Cancer, Molecular Cancer Therapeutics, Scientific Reports, Biomarker Research and PLoS Genetics.
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.