Stefan Maderwald
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Cognitive Neuroscience top 2%
- Neurology top 2%
- Biomedical Engineering top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Co-authors
- Mark E. LaddMichael ForstingOliver KraffHarald H. QuickDagmar TimmannElke R. GizewskiJens TheysohnMarc Schlamann
- Topics
- Advanced MRI Techniques and Applications (96 papers)MRI in cancer diagnosis (41 papers)Advanced Neuroimaging Techniques and Applications (30 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Stefan Maderwald
160 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 150
- Radiology, Nuclear Medicine and Imaging 2.7k
- Cognitive Neuroscience 845
- Neurology 600
- Biomedical Engineering 551
- Atomic and Molecular Physics, and Optics 519
Countries citing papers authored by Stefan Maderwald
This map shows the geographic impact of Stefan Maderwald'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 Stefan Maderwald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Maderwald more than expected).
Fields of papers citing papers by Stefan Maderwald
This network shows the impact of papers produced by Stefan Maderwald. 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 Stefan Maderwald. The network helps show where Stefan Maderwald may publish in the future.
Co-authorship network of co-authors of Stefan Maderwald
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Maderwald. A scholar is included among the top collaborators of Stefan Maderwald 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 Stefan Maderwald. Stefan Maderwald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 45 | |
| 3 | 30 | |
| 4 | 3 | |
| 5 | 112 | |
| 6 | 20 | |
| 7 | 9 | |
| 8 | 9 | |
| 9 | 37 | |
| 10 | 19 | |
| 11 | 16 | |
| 12 | 11 | |
| 13 | 9 | |
| 14 | 30 | |
| 15 | 2 | |
| 16 | Susceptibility-weighted MRI of cerebral cavernous malformations - prospects, drawbacks and first experience at ultra-high field-strength (7 Tesla) MRI | 1 |
| 17 | 110 | |
| 18 | 21 | |
| 19 | 9 | |
| 20 | 84 |
About Stefan Maderwald
Stefan Maderwald is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Neurology, having authored 162 papers that have together received 4.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (96 papers), MRI in cancer diagnosis (41 papers) and Advanced Neuroimaging Techniques and Applications (30 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.7k citations), Neurology (491 citations) and Cognitive Neuroscience (845 citations). Stefan Maderwald has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Mark E. Ladd, Michael Forsting, Oliver Kraff, Harald H. Quick, Dagmar Timmann, Elke R. Gizewski, Jens Theysohn, Marc Schlamann, Matthias Brand and Craig J. Galbán. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.
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.