E. Grabbe
Impact in
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
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- Breast Lesions and Carcinomas
Papers in
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- Advanced MRI Techniques and Applications 20
- Medical Imaging Techniques and Applications 20
- MRI in cancer diagnosis 18
- Radiomics and Machine Learning in Medical Imaging 9
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- Digital Radiography and Breast Imaging 19
- Co-authors
- L. Kopka (20 shared papers)Uwe Fischer (5 shared papers)Silvia Obenauer (26 shared papers)Urs Fischer (25 shared papers)R. Vosshenrich (18 shared papers)F. Baum (9 shared papers)M. Funke (20 shared papers)K.-P. Hermann (12 shared papers)
In The Last Decade
E. Grabbe
80 papers receiving 2.7k citations
E. Grabbe's Hit Papers
Peers
Comparison fields: 5 of 117
- Radiology, Nuclear Medicine and Imaging 1.5k
- Pathology and Forensic Medicine 612
- Pulmonary and Respiratory Medicine 749
- Cancer Research 342
- Artificial Intelligence 450
Countries citing papers authored by E. Grabbe
This map shows the geographic impact of E. Grabbe'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 E. Grabbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Grabbe more than expected).
Fields of papers citing papers by E. Grabbe
This network shows the impact of papers produced by E. Grabbe. 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 E. Grabbe. The network helps show where E. Grabbe may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Grabbe, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Breast Carcinoma: Effect of Preoperative Contrast-enhanced MR Imaging on the Therapeutic Approach Hit paper breakdown → | 1999 | 515 |
| 2 | 2002 | 154 | |
| 3 | 1996 | 133 | |
| 4 | 2002 | 122 | |
| 5 | 2005 | 106 | |
| 6 | 2002 | 104 | |
| 7 | 2003 | 102 | |
| 8 | 1996 | 81 | |
| 9 | 1998 | 80 | |
| 10 | 2007 | 78 | |
| 11 | 2002 | 73 | |
| 12 | 1999 | 72 | |
| 13 | 1997 | 66 | |
| 14 | 1994 | 63 | |
| 15 | 1997 | 55 | |
| 16 | 1999 | 50 | |
| 17 | 2003 | 49 | |
| 18 | 2000 | 40 | |
| 19 | 2002 | 39 | |
| 20 | 2002 | 38 |
About E. Grabbe
E. Grabbe is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Biomedical Engineering and Pathology and Forensic Medicine, having authored 81 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (20 papers), Medical Imaging Techniques and Applications (20 papers), Digital Radiography and Breast Imaging (19 papers), MRI in cancer diagnosis (18 papers), Advanced X-ray and CT Imaging (9 papers), AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Breast Lesions and Carcinomas (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.5k citations), Pathology and Forensic Medicine (612 citations), Pulmonary and Respiratory Medicine (749 citations), Cancer Research (342 citations) and Artificial Intelligence (450 citations). E. Grabbe has collaborated with scholars based in Germany, Canada and Hungary. Frequent co-authors include L. Kopka, Uwe Fischer, Silvia Obenauer, Urs Fischer, R. Vosshenrich, F. Baum, M. Funke, K.-P. Hermann, J W Oestmann and J. Rodenwaldt. Their work appears in journals such as European Radiology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Radiology, Journal of Computer Assisted Tomography and Neoplasia.
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.