Christian Behrenbruch
- Biomedical Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- David J. ShermanShutao WangHsian‐Rong TsengKen‐ichiro KameiJing JiaoKuan‐Ju ChenJing SunHong Wu
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)MRI in cancer diagnosis (4 papers)Medical Imaging Techniques and Applications (4 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Christian Behrenbruch
17 papers receiving 907 citations
Peers
Comparison fields: 5 of 85
- Biomedical Engineering 498
- Radiology, Nuclear Medicine and Imaging 239
- Oncology 212
- Molecular Biology 173
- Computer Vision and Pattern Recognition 156
Countries citing papers authored by Christian Behrenbruch
This map shows the geographic impact of Christian Behrenbruch'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 Christian Behrenbruch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Behrenbruch more than expected).
Fields of papers citing papers by Christian Behrenbruch
This network shows the impact of papers produced by Christian Behrenbruch. 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 Christian Behrenbruch. The network helps show where Christian Behrenbruch may publish in the future.
Co-authorship network of co-authors of Christian Behrenbruch
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Behrenbruch. A scholar is included among the top collaborators of Christian Behrenbruch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christian Behrenbruch. Christian Behrenbruch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 438 | |
| 5 | 103 | |
| 6 | 33 | |
| 7 | 60 | |
| 8 | 25 | |
| 9 | 29 | |
| 10 | 13 | |
| 11 | 40 | |
| 12 | 104 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | The generation of simulated mammograms from contrast enhanced MRI for surgical planning and postoperative assessment | 3 |
| 17 | 62 |
About Christian Behrenbruch
Christian Behrenbruch is a scholar working on Radiology, Nuclear Medicine and Imaging, Modeling and Simulation and Cancer Research, having authored 17 papers that have together received 930 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (4 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Biomedical Engineering (498 citations), Radiology, Nuclear Medicine and Imaging (239 citations) and Oncology (212 citations). Christian Behrenbruch has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include David J. Sherman, Shutao Wang, Hsian‐Rong Tseng, Ken‐ichiro Kamei, Jing Jiao, Kuan‐Ju Chen, Jing Sun, Hong Wu, Hao Wang and Michael Brady. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Clinical Oncology and Analytical Biochemistry.
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.