Stefan Jun Groiss
- Neurology top 1%
- Neurological disorders and treatments 36
- Transcranial Magnetic Stimulation Studies 26
- Parkinson's Disease Mechanisms and Treatments 23
- Vestibular and auditory disorders 9
- Botulinum Toxin and Related Neurological Disorders 5
- Neurology top 2%
- Neurological disorders and treatments 36
- Transcranial Magnetic Stimulation Studies 26
- Parkinson's Disease Mechanisms and Treatments 23
- Vestibular and auditory disorders 9
- Botulinum Toxin and Related Neurological Disorders 5
-
- Genetic Neurodegenerative Diseases 14
- Neuroscience and Neural Engineering 11
- Cognitive Neuroscience top 10%
- Motor Control and Adaptation 5
- Hepatology top 10%
Stefan Jun Groiss
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Neurology 815
- Neurology 355
- Cellular and Molecular Neuroscience 529
- Cognitive Neuroscience 244
- Hepatology 56
Countries citing papers authored by Stefan Jun Groiss
This map shows the geographic impact of Stefan Jun Groiss'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 Stefan Jun Groiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Jun Groiss more than expected).
Fields of papers citing papers by Stefan Jun Groiss
This network shows the impact of papers produced by Stefan Jun Groiss. 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 Stefan Jun Groiss. The network helps show where Stefan Jun Groiss may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefan Jun Groiss, 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 | 2024 | 5 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 11 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 23 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 2 | |
| 11 | 2019 | 25 | |
| 12 | 2018 | 38 | |
| 13 | 2018 | 31 | |
| 14 | 2016 | 1 | |
| 15 | 2016 | 46 | |
| 16 | 2013 | 32 | |
| 17 | 2012 | 17 | |
| 18 | 2011 | 7 | |
| 19 | 2009 | 76 | |
| 20 | 2007 | 51 |
About Stefan Jun Groiss
Stefan Jun Groiss is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurological disorders and treatments (36 papers), Transcranial Magnetic Stimulation Studies (26 papers), Parkinson's Disease Mechanisms and Treatments (23 papers), Genetic Neurodegenerative Diseases (14 papers), Neuroscience and Neural Engineering (11 papers), Vestibular and auditory disorders (9 papers), Botulinum Toxin and Related Neurological Disorders (5 papers) and Motor Control and Adaptation (5 papers). The work is most often cited by research in Neurology (815 citations), Neurology (355 citations) and Cellular and Molecular Neuroscience (529 citations). Stefan Jun Groiss has collaborated with scholars based in Germany, Japan and Austria. Frequent co-authors include Alfons Schnitzler, Lars Wojtecki, Martin Südmeyer, Yoshikazu Ugawa, Christian J. Hartmann, Jan Vesper, Lars Timmermann, Saskia Elben, Kurt Preis and Volker Sturm. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and Experimental 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.