Sylvia Maaß

597 citations
4 papers · 247 · h-index 3

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism
    • Neurological disorders and treatments
    • Nuclear Receptors and Signaling
    • Genetic Neurodegenerative Diseases

Papers in

    • Neurological disorders and treatments 3
    • Parkinson's Disease Mechanisms and Treatments 3
    • Neurological diseases and metabolism 1
    • Botulinum Toxin and Related Neurological Disorders 1
    • Genetic Neurodegenerative Diseases 1
    • Nuclear Receptors and Signaling 1

Sylvia Maaß

3 papers receiving 241 citations

Peers

Sylvia Maaß
Comparison fields: 5 of 39
  • Neurology 209
  • Neurology 73
  • Cellular and Molecular Neuroscience 81
  • Physiology 70
  • Complementary and alternative medicine 22
Replace V. R. Chandran with:
V. R. Chandran Singapore
Emil Gregersen Denmark
Martin T. Henrich Germany
Hjalte Gram Denmark
Yanina Dening Germany
Jaana Autere Finland
Emilie Faggiani France
Tsung‐Pin Pai Austria
Brooke Johannes United States
S Ohara Japan
Sylvia Maaß relative to V. R. Chandran Singapore V. R. Chandran's profile →
Citations per field
00.5×1.7×
V. R. Chandran · 1×
Citations per year

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-authors

The 23 scholars most cited alongside Sylvia Maaß, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sylvia Maaß Line = papers co-authored together Sylvia Maaß links everyone, so they are left out of the graph.

All Works

About Sylvia Maaß

Sylvia Maaß is a scholar working on Neurology, Cellular and Molecular Neuroscience, Complementary and alternative medicine, Neurology and Psychiatry and Mental health, having authored 4 papers that have together received 247 indexed citations. Recurring topics across this work include Neurological disorders and treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Neurological diseases and metabolism (1 paper), Ginkgo biloba and Cashew Applications (1 paper), Cerebral Palsy and Movement Disorders (1 paper), Genetic Neurodegenerative Diseases (1 paper), Nuclear Receptors and Signaling (1 paper) and Botulinum Toxin and Related Neurological Disorders (1 paper). The work is most often cited by research in Neurology (209 citations), Neurology (73 citations), Cellular and Molecular Neuroscience (81 citations), Physiology (70 citations) and Complementary and alternative medicine (22 citations). Sylvia Maaß has collaborated with scholars based in Germany and Austria. Frequent co-authors include Petra Belcredi, Zbigniew K. Wszołek, Katherine J. Schweitzer, Claudia Schulte, Thomas Gasser, Daniela Berg, Peter Lichtner, Thomas Nägele, Alexander Zimprich and Petra Leitner. Their work appears in journals such as Current Treatment Options in Neurology, Brain, Journal of Neural Transmission and 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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