Marius Mayerhöfer
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- Bone and Joint Diseases 2
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- Medical Imaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 2
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- Shoulder Injury and Treatment 2
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- Lymphoma Diagnosis and Treatment 3
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- Cancer, Lipids, and Metabolism 2
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- Cutaneous lymphoproliferative disorders research 2
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- Advanced X-ray and CT Imaging 2
- Co-authors
- N AignerF LandsiedlChristian KrasnyG. PetjeR MeizerPeter ValentWolfgang PoepplMark E. Schweitzer
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Marius Mayerhöfer
18 papers receiving 338 citations
Peers
Comparison fields: 5 of 66
- Orthopedics and Sports Medicine 106
- Health Informatics 8
- Radiology, Nuclear Medicine and Imaging 109
- Rheumatology 53
- Surgery 119
Countries citing papers authored by Marius Mayerhöfer
This map shows the geographic impact of Marius Mayerhöfer'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 Marius Mayerhöfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Mayerhöfer more than expected).
Fields of papers citing papers by Marius Mayerhöfer
This network shows the impact of papers produced by Marius Mayerhöfer. 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 Marius Mayerhöfer. The network helps show where Marius Mayerhöfer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marius Mayerhöfer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 10 | |
| 2 | 2020 | 16 | |
| 3 | 2020 | 3 | |
| 4 | 2019 | 65 | |
| 5 | 2019 | 4 | |
| 6 | 2018 | 5 | |
| 7 | 2016 | 3 | |
| 8 | Clinical Value of 18F-fluorodihydroxyphenylalanine Positron Emission Tomography/Contrast-enhanced Computed Tomography (18F-DOPA PET/CT) in Patients with Suspected Paraganglioma. | 2016 | 3 |
| 9 | 2015 | 6 | |
| 10 | 2015 | 22 | |
| 11 | 2013 | 3 | |
| 12 | 2013 | 14 | |
| 13 | 2011 | 0 | |
| 14 | 2010 | 51 | |
| 15 | 2009 | 6 | |
| 16 | 2007 | 34 | |
| 17 | 2007 | 11 | |
| 18 | 2005 | 96 | |
| 19 | 2003 | 3 |
About Marius Mayerhöfer
Marius Mayerhöfer is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Dermatology, having authored 19 papers that have together received 355 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Lymphoma Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cutaneous lymphoproliferative disorders research (2 papers), Advanced X-ray and CT Imaging (2 papers), Shoulder Injury and Treatment (2 papers) and Bone and Joint Diseases (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (106 citations), Health Informatics (8 citations) and Radiology, Nuclear Medicine and Imaging (109 citations). Marius Mayerhöfer has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include N Aigner, F Landsiedl, Christian Krasny, G. Petje, R Meizer, Peter Valent, Wolfgang Poeppl, Mark E. Schweitzer, Barbara Pratscher and Vladimı́r Jellúš. Their work appears in journals such as Radiology, Medicine and European Radiology.
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.