Tanja Schmitz‐Hübsch

4.5k citations
80 papers · 2.2k indexed · 1 hit paper · h-index 21

Tanja Schmitz‐Hübsch

74 papers receiving 2.2k citations

Hit Papers

Connectivity Predicts deep brain stimulation outcome in P...4422017202620202023100200300400

Peers

Tanja Schmitz‐Hübsch
Comparison fields: 5 of 105
  • Neurology 1.1k
  • Cellular and Molecular Neuroscience 927
  • Physical Therapy, Sports Therapy and Rehabilitation 219
  • Neurology 278
  • Rehabilitation 125
Replace Hiroshi Mitoma with:
Hiroshi Mitoma Japan
Jean‐Philippe Azulay France
Sarah H. Ying United States
Jau‐Shin Lou United States
Pramod Kumar Pal India
Muthuraman Muthuraman Germany
Andreas Zwergal Germany
G Serratrice France
Walter Pirker Austria
Jin Whan Cho South Korea
Tanja Schmitz‐Hübsch relative to Hiroshi Mitoma Japan Hiroshi Mitoma's profile →
Citations per field
00.5×2.6×
Hiroshi Mitoma · 1×
Citations per year

Countries citing papers authored by Tanja Schmitz‐Hübsch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tanja Schmitz‐Hübsch Line = papers co-authored together Tanja Schmitz‐Hübsch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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14 20212
15 20208
16 201852
17 201730
18 2016103
19
Vowel Articulation in Patients with Spinocerebellar Ataxia
20131
20 20104

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.

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2026