Sonja Eberth
Impact in
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- Lymphoma Diagnosis and Treatment
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
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- Lymphoma Diagnosis and Treatment 11
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- Cancer Genomics and Diagnostics 2
- Cancer-related molecular mechanisms research 1
- Co-authors
- Hans Günter Drexler (12 shared papers)Hilmar Quentmeier (7 shared papers)Julia Romani (4 shared papers)Margarete Zaborski (4 shared papers)Stefan Nagel (11 shared papers)Claudia Pommerenke (10 shared papers)Dieter Kube (3 shared papers)Roderick A.F. MacLeod (5 shared papers)
- Journals
- BMC Cancer (3 papers)Nature Communications (3 papers)Blood (1 paper)Molecular Cancer Therapeutics (1 paper)Frontiers in Physiology (1 paper)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Sonja Eberth
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Pathology and Forensic Medicine 266
- Endocrine and Autonomic Systems 65
- Cancer Research 149
- Hematology 119
- Oncology 123
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 119 | |
| 2 | 2019 | 114 | |
| 3 | 2022 | 109 | |
| 4 | 2011 | 102 | |
| 5 | 2016 | 98 | |
| 6 | 2015 | 87 | |
| 7 | 2019 | 74 | |
| 8 | 2018 | 49 | |
| 9 | 2019 | 49 | |
| 10 | 2012 | 47 | |
| 11 | 2014 | 47 | |
| 12 | 2012 | 33 | |
| 13 | 2010 | 31 | |
| 14 | 2013 | 31 | |
| 15 | 2018 | 28 | |
| 16 | 2014 | 26 | |
| 17 | 2016 | 22 | |
| 18 | 2015 | 19 | |
| 19 | 2018 | 14 | |
| 20 | 2022 | 14 |
About Sonja Eberth
Sonja Eberth is a scholar working on Pathology and Forensic Medicine, Cancer Research, Molecular Biology, Hematology and Neurology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Genomics and Phylogenetic Studies (3 papers), Epigenetics and DNA Methylation (2 papers), Cancer Genomics and Diagnostics (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Cancer-related molecular mechanisms research (1 paper) and Bioactive Compounds and Antitumor Agents (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (266 citations), Endocrine and Autonomic Systems (65 citations), Cancer Research (149 citations), Hematology (119 citations) and Oncology (123 citations). Sonja Eberth has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Hans Günter Drexler, Hilmar Quentmeier, Julia Romani, Margarete Zaborski, Stefan Nagel, Claudia Pommerenke, Dieter Kube, Roderick A.F. MacLeod, Jürgen Becker and Marcel Klingenberg. Their work appears in journals such as BMC Cancer, Nature Communications, Blood, Molecular Cancer Therapeutics and Frontiers in Physiology.
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.