Markus Vaas
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
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- Tryptophan and brain disorders
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 6
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- Optical Imaging and Spectroscopy Techniques 5
- Advanced MRI Techniques and Applications 2
- MRI in cancer diagnosis 2
- Co-authors
- Jan Klohs (13 shared papers)Ruiqing Ni (7 shared papers)Wuwei Ren (3 shared papers)Anja Kipar (4 shared papers)Markus Rudin (5 shared papers)Gaby U. Enzmann (2 shared papers)Musadiq Ahmad Bhat (2 shared papers)Jürgen Rainer Reichenbach (2 shared papers)
- Journals
- Translational Stroke Research (2 papers)Journal of Cerebral Blood Flow & Metabolism (2 papers)Journal of Hydraulic Research (1 paper)Frontiers in Neurology (1 paper)Science Advances (1 paper)
- Partner nations
- SwitzerlandGermanySpain
In The Last Decade
Markus Vaas
15 papers receiving 311 citations
Peers
Comparison fields: 5 of 73
- Neurology 94
- Biological Psychiatry 15
- Cellular and Molecular Neuroscience 61
- Radiology, Nuclear Medicine and Imaging 70
- Physiology 51
Countries citing papers authored by Markus Vaas
This map shows the geographic impact of Markus Vaas'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 Vaas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Vaas more than expected).
Fields of papers citing papers by Markus Vaas
This network shows the impact of papers produced by Markus Vaas. 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 Vaas. The network helps show where Markus Vaas may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Vaas, 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 | 54 | |
| 2 | 2021 | 45 | |
| 3 | 2018 | 33 | |
| 4 | 2015 | 25 | |
| 5 | 2018 | 23 | |
| 6 | 2017 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2016 | 18 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 17 | |
| 11 | 2017 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2015 | 7 | |
| 14 | 2018 | 4 | |
| 15 | 2018 | 2 |
About Markus Vaas
Markus Vaas is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Biomedical Engineering and Developmental Neuroscience, having authored 15 papers that have together received 313 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Optical Imaging and Spectroscopy Techniques (5 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Advanced MRI Techniques and Applications (2 papers), S100 Proteins and Annexins (2 papers), Alzheimer's disease research and treatments (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Neurology (94 citations), Biological Psychiatry (15 citations), Cellular and Molecular Neuroscience (61 citations), Radiology, Nuclear Medicine and Imaging (70 citations) and Physiology (51 citations). Markus Vaas has collaborated with scholars based in Switzerland, Germany and Spain. Frequent co-authors include Jan Klohs, Ruiqing Ni, Wuwei Ren, Anja Kipar, Markus Rudin, Gaby U. Enzmann, Musadiq Ahmad Bhat, Jürgen Rainer Reichenbach, Andreas Deistung and Dietmar Benke. Their work appears in journals such as Translational Stroke Research, Journal of Cerebral Blood Flow & Metabolism, Journal of Hydraulic Research, Frontiers in Neurology and Science Advances.
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.