Pascal Küster
Impact in
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- Multiple Sclerosis Research Studies
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- Neuroinflammation and Neurodegeneration Mechanisms
- Peripheral Neuropathies and Disorders
Papers in
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- Multiple Sclerosis Research Studies 11
- Systemic Sclerosis and Related Diseases 1
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- Systemic Lupus Erythematosus Research 7
- Co-authors
- Yvonne Naegelin (9 shared papers)Ludwig Kappos (9 shared papers)Kerstin Bendfeldt (8 shared papers)Achim Gass (7 shared papers)Stefan Borgwardt (8 shared papers)Nicole Mueller‐Lenke (7 shared papers)Ernst‐Wilhelm Radue (8 shared papers)Nichols Thomas (6 shared papers)
- Journals
- NeuroImage (3 papers)Multiple Sclerosis Journal (3 papers)Schizophrenia Research (2 papers)Human Brain Mapping (2 papers)Brain Research (1 paper)
- Partner nations
- SwitzerlandUnited KingdomGermany
In The Last Decade
Pascal Küster
14 papers receiving 603 citations
Peers
Comparison fields: 5 of 67
- Pathology and Forensic Medicine 370
- Neurology 62
- Biological Psychiatry 18
- Psychiatry and Mental health 85
- Rheumatology 86
Countries citing papers authored by Pascal Küster
This map shows the geographic impact of Pascal Küster'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 Pascal Küster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Küster more than expected).
Fields of papers citing papers by Pascal Küster
This network shows the impact of papers produced by Pascal Küster. 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 Pascal Küster. The network helps show where Pascal Küster may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Küster, 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 | 2013 | 101 | |
| 2 | 2019 | 93 | |
| 3 | 2008 | 75 | |
| 4 | 2012 | 49 | |
| 5 | 2010 | 47 | |
| 6 | 2012 | 47 | |
| 7 | 2010 | 40 | |
| 8 | 2011 | 37 | |
| 9 | 2018 | 37 | |
| 10 | 2010 | 31 | |
| 11 | 2013 | 29 | |
| 12 | 2012 | 22 | |
| 13 | 2014 | 6 | |
| 14 | Predicting conversion to clinically definite multiple sclerosis using machine learning on the basis of cerebral grey matter segmentations | 2015 | 1 |
About Pascal Küster
Pascal Küster is a scholar working on Pathology and Forensic Medicine, Rheumatology, Developmental Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 14 papers that have together received 615 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (11 papers), Systemic Lupus Erythematosus Research (7 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Systemic Sclerosis and Related Diseases (1 paper), Digital Imaging for Blood Diseases (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Advanced MRI Techniques and Applications (1 paper) and Advanced Scientific Research Methods (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (370 citations), Neurology (62 citations), Biological Psychiatry (18 citations), Psychiatry and Mental health (85 citations) and Rheumatology (86 citations). Pascal Küster has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Yvonne Naegelin, Ludwig Kappos, Kerstin Bendfeldt, Achim Gass, Stefan Borgwardt, Nicole Mueller‐Lenke, Ernst‐Wilhelm Radue, Nichols Thomas, Hanspeter Egger and Till Sprenger. Their work appears in journals such as NeuroImage, Multiple Sclerosis Journal, Schizophrenia Research, Human Brain Mapping and Brain 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.