Tanja Schmitz‐Hübsch
- Neurology top 1%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Neurology top 5%
- Co-authors
- Thomas KlockgetherFriedemann PaulAndrea A. KühnAlexander U. BrandtAndreas HornKaren OtteUllrich WüllnerDagmar Timmann
- Topics
- Multiple Sclerosis Research Studies (32 papers)Genetic Neurodegenerative Diseases (28 papers)Mitochondrial Function and Pathology (20 papers)
- Cited by
- NeurologyCellular and Molecular NeurosciencePhysical Therapy, Sports Therapy and Rehabilitation
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
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
- Molecular Biology 579
- Cognitive Neuroscience 320
- Neurology 278
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 of co-authors of Tanja Schmitz‐Hübsch
This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Schmitz‐Hübsch. A scholar is included among the top collaborators of Tanja Schmitz‐Hübsch 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 Tanja Schmitz‐Hübsch. Tanja Schmitz‐Hübsch 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 52 | |
| 17 | 30 | |
| 18 | 103 | |
| 19 | Vowel Articulation in Patients with Spinocerebellar Ataxia | 1 |
| 20 | 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) and Mitochondrial Function and Pathology (20 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.