Christiane Marx
- Radiology, Nuclear Medicine and Imaging top 5%
- Pathology and Forensic Medicine top 10%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Werner A. KaiserStefan O.R. PfleidererAnsgar MalichMirjam FaciusAchim SchneiderSusanne WurdingerDorothee FischerR Kühne-Heid
- Topics
- MRI in cancer diagnosis (10 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Advanced MRI Techniques and Applications (6 papers)
- Partner nations
- GermanySwitzerlandZambia
In The Last Decade
Christiane Marx
18 papers receiving 635 citations
Peers
Comparison fields: 5 of 62
- Radiology, Nuclear Medicine and Imaging 381
- Pathology and Forensic Medicine 187
- Biomedical Engineering 166
- Artificial Intelligence 146
- Pulmonary and Respiratory Medicine 127
Countries citing papers authored by Christiane Marx
This map shows the geographic impact of Christiane Marx'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 Christiane Marx with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christiane Marx more than expected).
Fields of papers citing papers by Christiane Marx
This network shows the impact of papers produced by Christiane Marx. 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 Christiane Marx. The network helps show where Christiane Marx may publish in the future.
Co-authorship network of co-authors of Christiane Marx
This figure shows the co-authorship network connecting the top 25 collaborators of Christiane Marx. A scholar is included among the top collaborators of Christiane Marx 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 Christiane Marx. Christiane Marx is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 22 | |
| 3 | 26 | |
| 4 | 69 | |
| 5 | 68 | |
| 6 | 97 | |
| 7 | 31 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 8 | |
| 11 | 32 | |
| 12 | 42 | |
| 13 | 13 | |
| 14 | 32 | |
| 15 | 111 | |
| 16 | 4 | |
| 17 | 56 | |
| 18 | 6 |
About Christiane Marx
Christiane Marx is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Critical Care and Intensive Care Medicine, having authored 18 papers that have together received 656 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Advanced MRI Techniques and Applications (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (381 citations), Pathology and Forensic Medicine (187 citations) and Cancer Research (96 citations). Christiane Marx has collaborated with scholars based in Germany, Switzerland and Zambia. Frequent co-authors include Werner A. Kaiser, Stefan O.R. Pfleiderer, Ansgar Malich, Mirjam Facius, Achim Schneider, Susanne Wurdinger, Dorothee Fischer, R Kühne-Heid, Martin Freesmeyer and Joachim Boettcher. Their work appears in journals such as Radiology, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.
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.