Tanja Schmitz‐Hübsch
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments 16
- Neurological disorders and treatments 9
- Peripheral Neuropathies and Disorders 7
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- Genetic Neurodegenerative Diseases 28
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 16
- Neurological disorders and treatments 9
- Peripheral Neuropathies and Disorders 7
- Rehabilitation top 5%
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- Multiple Sclerosis Research Studies 32
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- Mitochondrial Function and Pathology 20
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- Cerebral Palsy and Movement Disorders 12
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- Autoimmune and Inflammatory Disorders Research 6
Tanja Schmitz‐Hübsch
74 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Neurology 1.1k
- Cellular and Molecular Neuroscience 927
- Physical Therapy, Sports Therapy and Rehabilitation 219
- Neurology 278
- Rehabilitation 125
Countries citing papers authored by Tanja Schmitz‐Hübsch
This map shows the geographic impact of Tanja Schmitz‐Hübsch'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 Tanja Schmitz‐Hübsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Schmitz‐Hübsch more than expected).
Fields of papers citing papers by Tanja Schmitz‐Hübsch
This network shows the impact of papers produced by Tanja Schmitz‐Hübsch. 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 Tanja Schmitz‐Hübsch. The network helps show where Tanja Schmitz‐Hübsch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tanja Schmitz‐Hübsch, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 8 | |
| 14 | 2021 | 2 | |
| 15 | 2020 | 8 | |
| 16 | 2018 | 52 | |
| 17 | 2017 | 30 | |
| 18 | 2016 | 103 | |
| 19 | Vowel Articulation in Patients with Spinocerebellar Ataxia | 2013 | 1 |
| 20 | 2010 | 4 |
About Tanja Schmitz‐Hübsch
Tanja Schmitz‐Hübsch is a scholar working on Neurology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 80 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (32 papers), Genetic Neurodegenerative Diseases (28 papers), Mitochondrial Function and Pathology (20 papers), Parkinson's Disease Mechanisms and Treatments (16 papers), Cerebral Palsy and Movement Disorders (12 papers), Neurological disorders and treatments (9 papers), Peripheral Neuropathies and Disorders (7 papers) and Autoimmune and Inflammatory Disorders Research (6 papers). The work is most often cited by research in Neurology (1.1k citations), Cellular and Molecular Neuroscience (927 citations) and Physical Therapy, Sports Therapy and Rehabilitation (219 citations). Tanja Schmitz‐Hübsch has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Thomas Klockgether, Friedemann Paul, Andrea A. Kühn, Alexander U. Brandt, Andreas Horn, Karen Otte, Ullrich Wüllner, Dagmar Timmann, Michael Abele and Gregor Wenzel. Their work appears in journals such as Nature Communications, PLoS ONE 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.