Sylvia Maaß

597 total citations
4 papers, 247 citations indexed

About

Sylvia Maaß is a scholar working on Neurology, Cellular and Molecular Neuroscience and Complementary and alternative medicine. According to data from OpenAlex, Sylvia Maaß has authored 4 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Complementary and alternative medicine. Recurrent topics in Sylvia Maaß's work include Neurological disorders and treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Neurological diseases and metabolism (1 paper). Sylvia Maaß is often cited by papers focused on Neurological disorders and treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Neurological diseases and metabolism (1 paper). Sylvia Maaß collaborates with scholars based in Germany and Austria. Sylvia Maaß's co-authors include Petra Belcredi, Alexander Zimprich, Daniela Berg, Peter Lichtner, Petra Leitner, Claudia Schulte, Thomas Gasser, Zbigniew K. Wszołek, Thomas Nägele and Katherine J. Schweitzer and has published in prestigious journals such as Brain, Journal of Neural Transmission and Current Treatment Options in Neurology.

In The Last Decade

Sylvia Maaß

3 papers receiving 241 citations

Peers

Sylvia Maaß
Samia Ben Yahmed United Kingdom
V. R. Chandran Singapore
Mounir Kefi Tunisia
K. Puvan Singapore
Bram Meeus Belgium
A. B. Singleton United States
Samia Ben Yahmed United Kingdom
Sylvia Maaß
Citations per year, relative to Sylvia Maaß Sylvia Maaß (= 1×) peers Samia Ben Yahmed

Countries citing papers authored by Sylvia Maaß

Since Specialization
Citations

This map shows the geographic impact of Sylvia Maaß'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 Sylvia Maaß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvia Maaß more than expected).

Fields of papers citing papers by Sylvia Maaß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sylvia Maaß. 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 Sylvia Maaß. The network helps show where Sylvia Maaß may publish in the future.

Co-authorship network of co-authors of Sylvia Maaß

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia Maaß. A scholar is included among the top collaborators of Sylvia Maaß 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 Sylvia Maaß. Sylvia Maaß is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Maaß, Sylvia, Johannes Levin, & Günter U. Höglinger. (2016). Current Treatment of Multiple System Atrophy. Current Treatment Options in Neurology. 18(12). 51–51. 11 indexed citations
2.
Levin, Johannes, Sylvia Maaß, Madeleine Schuberth, et al.. (2016). The PROMESA-protocol: progression rate of multiple system atrophy under EGCG supplementation as anti-aggregation-approach. Journal of Neural Transmission. 123(4). 439–445. 26 indexed citations
3.
Berg, Daniela, Katherine J. Schweitzer, Petra Leitner, et al.. (2005). Type and frequency of mutations in the LRRK2 gene in familial and sporadic Parkinson's disease*. Brain. 128(12). 3000–3011. 210 indexed citations
4.
Maaß, Sylvia. (2003). Spiegelbildliche Mitbewegungen bei Kindern und Jugendlichen mit infantiler Zerebralparese. Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München).

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.

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