Sonja Eberth
Impact in
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Cancer-related gene regulation 3
- Epigenetics and DNA Methylation 3
- Wnt/β-catenin signaling in development and cancer 2
-
- Lymphoma Diagnosis and Treatment 7
- Co-authors
- Hilmar Quentmeier (7 shared papers)Julia Romani (4 shared papers)Margarete Zaborski (4 shared papers)Hans G. Drexler (10 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)Biomedicines (1 paper)Molecular Cancer Therapeutics (1 paper)Journal of Hematology & Oncology (1 paper)HemaSphere (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Sonja Eberth
23 papers receiving 576 citations
Peers
Comparison fields: 5 of 87
- Hematology 102
- Genetics 86
- Pathology and Forensic Medicine 94
- Oncology 134
- Cancer Research 71
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 | 98 | |
| 2 | 2019 | 63 | |
| 3 | 2012 | 46 | |
| 4 | 2014 | 46 | |
| 5 | 2018 | 45 | |
| 6 | 2019 | 42 | |
| 7 | 2012 | 34 | |
| 8 | 2010 | 31 | |
| 9 | 2013 | 29 | |
| 10 | 2018 | 25 | |
| 11 | 2014 | 24 | |
| 12 | 2016 | 21 | |
| 13 | 2015 | 19 | |
| 14 | 2018 | 14 | |
| 15 | 2014 | 12 | |
| 16 | 2024 | 10 | |
| 17 | 2016 | 10 | |
| 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, Oncology, Immunology and Cancer Research, having authored 24 papers that have together received 583 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Microbial infections and disease research (2 papers), Viral-associated cancers and disorders (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Hematology (102 citations), Genetics (86 citations), Pathology and Forensic Medicine (94 citations), Oncology (134 citations) and Cancer Research (71 citations). Sonja Eberth has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Hilmar Quentmeier, Julia Romani, Margarete Zaborski, Hans G. Drexler, Hans Drexler, Stefan Nagel, Claudia Pommerenke, Dieter Kube, Roderick A.F. MacLeod and Jürgen Becker. Their work appears in journals such as BMC Cancer, Biomedicines, Molecular Cancer Therapeutics, Journal of Hematology & Oncology and HemaSphere.
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.