Sonja W. Scholz
- Neurology top 0.5%
- Molecular Biology top 10%
- Neurology top 1%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Co-authors
- Werner PoeweEduardo TolosaAlícia GarridoAndrew SingletonJ. Raphael GibbsDena HernándezJohn HardyJavier Simón‐Sánchez
- Topics
- Parkinson's Disease Mechanisms and Treatments (34 papers)Neurological diseases and metabolism (16 papers)Genetic Neurodegenerative Diseases (12 papers)
- Journals
- NeuronNature BiotechnologyNeuroImage
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Sonja W. Scholz
62 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Neurology 1.7k
- Molecular Biology 1.0k
- Neurology 654
- Cellular and Molecular Neuroscience 648
- Physiology 534
Countries citing papers authored by Sonja W. Scholz
This map shows the geographic impact of Sonja W. Scholz'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 Sonja W. Scholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja W. Scholz more than expected).
Fields of papers citing papers by Sonja W. Scholz
This network shows the impact of papers produced by Sonja W. Scholz. 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 Sonja W. Scholz. The network helps show where Sonja W. Scholz may publish in the future.
Co-authorship network of co-authors of Sonja W. Scholz
This figure shows the co-authorship network connecting the top 25 collaborators of Sonja W. Scholz. A scholar is included among the top collaborators of Sonja W. Scholz 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 Sonja W. Scholz. Sonja W. Scholz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | Detection of mosaic and population-level structural variants with Sniffles2breakdown → | 118 |
| 4 | 0 | |
| 5 | 29 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 50 | |
| 9 | 12 | |
| 10 | 0 | |
| 11 | 88 | |
| 12 | 46 | |
| 13 | 4 | |
| 14 | 32 | |
| 15 | 1 | |
| 16 | A genome-wide genotyping study in patients with ischaemic stroke: initial analysis and data release (vol 6, pg 414, 2007) | 0 |
| 17 | 21 | |
| 18 | 41 | |
| 19 | 6 | |
| 20 | 175 |
About Sonja W. Scholz
Sonja W. Scholz is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 73 papers that have together received 3.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (34 papers), Neurological diseases and metabolism (16 papers) and Genetic Neurodegenerative Diseases (12 papers). The work is most often cited by research in Neurology (1.7k citations), Neurology (654 citations) and Cellular and Molecular Neuroscience (648 citations). Sonja W. Scholz has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Werner Poewe, Eduardo Tolosa, Alícia Garrido, Andrew Singleton, J. Raphael Gibbs, Dena Hernández, John Hardy, Javier Simón‐Sánchez, Hon‐Chung Fung and Angela Britton. Their work appears in journals such as Neuron, Nature Biotechnology and NeuroImage.
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.