Siobhán Ewert
- Neurology top 1%
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Neurology top 5%
- Co-authors
- Andrea A. KühnAndreas HornTodd M. HerringtonNingfei LiM. Mallar ChakravartyPhilip PlettigD. Louis CollinsWolf‐Julian Neumann
- Topics
- Neurological disorders and treatments (12 papers)Parkinson's Disease Mechanisms and Treatments (5 papers)Genetic Neurodegenerative Diseases (5 papers)
- Journals
- NeuroImageBrainNeurology
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Siobhán Ewert
12 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Neurology 1.2k
- Cellular and Molecular Neuroscience 642
- Cognitive Neuroscience 370
- Radiology, Nuclear Medicine and Imaging 260
- Neurology 260
Countries citing papers authored by Siobhán Ewert
This map shows the geographic impact of Siobhán Ewert'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 Siobhán Ewert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siobhán Ewert more than expected).
Fields of papers citing papers by Siobhán Ewert
This network shows the impact of papers produced by Siobhán Ewert. 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 Siobhán Ewert. The network helps show where Siobhán Ewert may publish in the future.
Co-authorship network of co-authors of Siobhán Ewert
This figure shows the co-authorship network connecting the top 25 collaborators of Siobhán Ewert. A scholar is included among the top collaborators of Siobhán Ewert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Siobhán Ewert. Siobhán Ewert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 17 | |
| 3 | 28 | |
| 4 | 26 | |
| 5 | 105 | |
| 6 | 10 | |
| 7 | Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imagingbreakdown → | 474 |
| 8 | 82 | |
| 9 | 77 | |
| 10 | 109 | |
| 11 | 49 | |
| 12 | Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivitybreakdown → | 403 |
About Siobhán Ewert
Siobhán Ewert is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurological disorders and treatments (12 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Genetic Neurodegenerative Diseases (5 papers). The work is most often cited by research in Neurology (1.2k citations), Cellular and Molecular Neuroscience (642 citations) and Neurology (260 citations). Siobhán Ewert has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Andrea A. Kühn, Andreas Horn, Todd M. Herrington, Ningfei Li, M. Mallar Chakravarty, Philip Plettig, D. Louis Collins, Wolf‐Julian Neumann, Gerd‐Helge Schneider and Marco Reisert. Their work appears in journals such as NeuroImage, Brain and Neurology.
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.