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 25
- Glioma Diagnosis and Treatment 25
-
- Medical Imaging Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 6
- Radiopharmaceutical Chemistry and Applications 3
- Co-authors
- Martha Nowosielski (10 shared papers)Günther Stockhammer (6 shared papers)Armin Muigg (8 shared papers)H. Kostron (4 shared papers)Guenther Stockhammer (7 shared papers)Pjotr Knyazev (2 shared papers)Markus Reschke (2 shared papers)Daniel Putzer (6 shared papers)
- Journals
- Neuro-Oncology (7 papers)Journal of Clinical Oncology (4 papers)Journal of Neuro-Oncology (3 papers)PLoS ONE (2 papers)Cancers (2 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Markus Hutterer
44 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Genetics 790
- Radiology, Nuclear Medicine and Imaging 487
- Cancer Research 172
- Oncology 291
- Immunology 206
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 | 219 | |
| 2 | 2014 | 193 | |
| 3 | 2013 | 171 | |
| 4 | 2008 | 139 | |
| 5 | 2011 | 129 | |
| 6 | 2010 | 86 | |
| 7 | 2014 | 84 | |
| 8 | 2010 | 74 | |
| 9 | 2013 | 64 | |
| 10 | 2012 | 62 | |
| 11 | 2014 | 58 | |
| 12 | 2014 | 53 | |
| 13 | 2014 | 43 | |
| 14 | 2009 | 42 | |
| 15 | 2013 | 34 | |
| 16 | 2024 | 29 | |
| 17 | 2009 | 28 | |
| 18 | 2020 | 17 | |
| 19 | 2006 | 15 | |
| 20 | Adaptive Immune Response to and Survival Effect of Temozolomide- and Valproic Acid-induced Autophagy in Glioblastoma. | 2016 | 15 |
About Markus Hutterer
Markus Hutterer is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology and Neurology, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (25 papers), Medical Imaging Techniques and Applications (7 papers), Brain Metastases and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Meningioma and schwannoma management (4 papers), Cancer survivorship and care (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Genetics (790 citations), Radiology, Nuclear Medicine and Imaging (487 citations), Cancer Research (172 citations), Oncology (291 citations) and Immunology (206 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, Pjotr Knyazev, Markus Reschke, Daniel Putzer, Axel Ullrich and Peter Hau. Their work appears in journals such as Neuro-Oncology, Journal of Clinical Oncology, Journal of Neuro-Oncology, PLoS ONE and Cancers.
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.