Sabina Eigenbrod
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
-
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Genetics 26
- Glioma Diagnosis and Treatment 26
-
- Neurological diseases and metabolism 7
- Co-authors
- Niklas ThonHans A. KretzschmarFriedrich W. KrethChristian la FougèreJörg‐Christian TonnNathalie JansenJuergen LutzSimone Kreth
- Journals
- International Journal of Cancer (3 papers)Neuro-Oncology (3 papers)Journal of Neuropathology & Experimental Neurology (3 papers)PLoS ONE (3 papers)Journal of Neuro-Oncology (2 papers)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Sabina Eigenbrod
45 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 90
- Genetics 1.4k
- Radiology, Nuclear Medicine and Imaging 795
- Cancer Research 498
- Neurology 128
- Molecular Biology 843
Countries citing papers authored by Sabina Eigenbrod
This map shows the geographic impact of Sabina Eigenbrod'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 Sabina Eigenbrod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabina Eigenbrod more than expected).
Fields of papers citing papers by Sabina Eigenbrod
This network shows the impact of papers produced by Sabina Eigenbrod. 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 Sabina Eigenbrod. The network helps show where Sabina Eigenbrod may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sabina Eigenbrod, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 2 | |
| 2 | 2017 | 11 | |
| 3 | 2016 | 25 | |
| 4 | 2013 | 103 | |
| 5 | 2012 | 42 | |
| 6 | 2012 | 124 | |
| 7 | 2012 | 135 | |
| 8 | 2012 | 85 | |
| 9 | 2012 | 33 | |
| 10 | 2011 | 17 | |
| 11 | 2011 | 51 | |
| 12 | 2011 | 9 | |
| 13 | 2011 | 240 | |
| 14 | 2010 | 45 | |
| 15 | 2009 | 63 | |
| 16 | 2008 | 8 | |
| 17 | 2006 | 22 | |
| 18 | 2006 | 109 | |
| 19 | 2006 | 20 | |
| 20 | 2003 | 3 |
About Sabina Eigenbrod
Sabina Eigenbrod is a scholar working on Genetics, Neurology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (26 papers), Prion Diseases and Protein Misfolding (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Neurological diseases and metabolism (7 papers), Brain Metastases and Treatment (7 papers), Epigenetics and DNA Methylation (7 papers), Cancer Genomics and Diagnostics (6 papers) and Meningioma and schwannoma management (4 papers). The work is most often cited by research in Genetics (1.4k citations), Radiology, Nuclear Medicine and Imaging (795 citations), Cancer Research (498 citations), Neurology (128 citations) and Molecular Biology (843 citations). Sabina Eigenbrod has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Niklas Thon, Hans A. Kretzschmar, Friedrich W. Kreth, Christian la Fougère, Jörg‐Christian Tonn, Nathalie Jansen, Juergen Lutz, Simone Kreth, Bogdana Suchorska and Peter Bartenstein. Their work appears in journals such as International Journal of Cancer, Neuro-Oncology, Journal of Neuropathology & Experimental Neurology, PLoS ONE and Journal of Neuro-Oncology.
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.