Marcel Gratz
Impact in
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- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
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- Memory and Neural Mechanisms
Papers in
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- Advanced MRI Techniques and Applications 10
- Medical Imaging Techniques and Applications 6
- MRI in cancer diagnosis 1
- Radiomics and Machine Learning in Medical Imaging 1
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- NMR spectroscopy and applications 4
- Co-authors
- Harald H. Quick (18 shared papers)Lale Umutlu (8 shared papers)Andreas K. Bitz (7 shared papers)Stefan Maderwald (6 shared papers)Verena Ruhlmann (4 shared papers)Ulrike Bingel (3 shared papers)Michael Forsting (4 shared papers)Felix Nensa (4 shared papers)
- Journals
- Medical Physics (4 papers)Magnetic Resonance in Medicine (4 papers)PLoS ONE (3 papers)European Radiology (2 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)
- Partner nations
- GermanyNew ZealandUnited States
In The Last Decade
Marcel Gratz
29 papers receiving 837 citations
Peers
Comparison fields: 5 of 43
- Radiology, Nuclear Medicine and Imaging 474
- Cognitive Neuroscience 54
- Inorganic Chemistry 23
- Health Informatics 2
- Nuclear and High Energy Physics 19
Countries citing papers authored by Marcel Gratz
This map shows the geographic impact of Marcel Gratz'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 Marcel Gratz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Gratz more than expected).
Fields of papers citing papers by Marcel Gratz
This network shows the impact of papers produced by Marcel Gratz. 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 Marcel Gratz. The network helps show where Marcel Gratz may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcel Gratz, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 99 | |
| 2 | 2019 | 97 | |
| 3 | 2019 | 76 | |
| 4 | 2019 | 59 | |
| 5 | 2014 | 53 | |
| 6 | 2014 | 50 | |
| 7 | 2016 | 42 | |
| 8 | 2017 | 35 | |
| 9 | 2017 | 34 | |
| 10 | 2017 | 32 | |
| 11 | 2014 | 31 | |
| 12 | 2016 | 30 | |
| 13 | 2017 | 23 | |
| 14 | 2009 | 22 | |
| 15 | 2017 | 22 | |
| 16 | 2011 | 19 | |
| 17 | 2016 | 18 | |
| 18 | 2019 | 16 | |
| 19 | 2011 | 15 | |
| 20 | 2020 | 13 |
About Marcel Gratz
Marcel Gratz is a scholar working on Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics, Cognitive Neuroscience, Inorganic Chemistry and Nuclear Energy and Engineering, having authored 32 papers that have together received 841 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (10 papers), Medical Imaging Techniques and Applications (6 papers), NMR spectroscopy and applications (4 papers), Memory Processes and Influences (1 paper), MRI in cancer diagnosis (1 paper), Metal-Organic Frameworks: Synthesis and Applications (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Memory and Neural Mechanisms (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (474 citations), Cognitive Neuroscience (54 citations), Inorganic Chemistry (23 citations), Health Informatics (2 citations) and Nuclear and High Energy Physics (19 citations). Marcel Gratz has collaborated with scholars based in Germany, New Zealand and United States. Frequent co-authors include Harald H. Quick, Lale Umutlu, Andreas K. Bitz, Stefan Maderwald, Verena Ruhlmann, Ulrike Bingel, Michael Forsting, Felix Nensa, Mark E. Ladd and Stephan Orzada. Their work appears in journals such as Medical Physics, Magnetic Resonance in Medicine, PLoS ONE, European Radiology and European Journal of Nuclear Medicine and Molecular 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.