Markus Hutterer
Impact in
- Genetics top 1%
- Glioma Diagnosis and Treatment
-
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
- Genetics 23
- Glioma Diagnosis and Treatment 23
-
- CNS Lymphoma Diagnosis and Treatment 2
- Co-authors
- Martha Nowosielski (9 shared papers)Günther Stockhammer (7 shared papers)Armin Muigg (5 shared papers)H. Kostron (3 shared papers)Guenther Stockhammer (5 shared papers)Daniel Putzer (5 shared papers)Axel Ullrich (2 shared papers)Markus O. Reschke (2 shared papers)
- Journals
- Neuro-Oncology (6 papers)Journal of Neuro-Oncology (3 papers)Journal of Nuclear Medicine (2 papers)Cancers (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Markus Hutterer
44 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 94
- Genetics 921
- Radiology, Nuclear Medicine and Imaging 577
- Cancer Research 181
- Oncology 328
- Neurology 180
Countries citing papers authored by Markus Hutterer
This map shows the geographic impact of Markus Hutterer'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 Markus Hutterer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Hutterer more than expected).
Fields of papers citing papers by Markus Hutterer
This network shows the impact of papers produced by Markus Hutterer. 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 Markus Hutterer. The network helps show where Markus Hutterer may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Hutterer, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 240 | |
| 2 | 2014 | 219 | |
| 3 | 2013 | 195 | |
| 4 | 2008 | 147 | |
| 5 | 2011 | 141 | |
| 6 | 2014 | 98 | |
| 7 | 2010 | 88 | |
| 8 | 2010 | 80 | |
| 9 | 2021 | 80 | |
| 10 | 2014 | 67 | |
| 11 | 2013 | 67 | |
| 12 | 2012 | 66 | |
| 13 | 2014 | 56 | |
| 14 | 2009 | 46 | |
| 15 | 2014 | 45 | |
| 16 | 2016 | 43 | |
| 17 | 2024 | 42 | |
| 18 | 2013 | 36 | |
| 19 | 2009 | 31 | |
| 20 | 2020 | 21 |
About Markus Hutterer
Markus Hutterer is a scholar working on Genetics, Neurology, Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (23 papers), Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Meningioma and schwannoma management (4 papers), Brain Metastases and Treatment (4 papers), Amino Acid Enzymes and Metabolism (2 papers), Protein Degradation and Inhibitors (2 papers) and CNS Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (921 citations), Radiology, Nuclear Medicine and Imaging (577 citations), Cancer Research (181 citations), Oncology (328 citations) and Neurology (180 citations). Markus Hutterer has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Martha Nowosielski, Günther Stockhammer, Armin Muigg, H. Kostron, Guenther Stockhammer, Daniel Putzer, Axel Ullrich, Markus O. Reschke, Pjotr G. Knyazev and Marcel Seiz. Their work appears in journals such as Neuro-Oncology, Journal of Neuro-Oncology, Journal of Nuclear Medicine, Cancers and Clinical Cancer Research.
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.