Michael Schuepbach

633 total citations
12 papers, 364 citations indexed

About

Michael Schuepbach is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Michael Schuepbach has authored 12 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Cognitive Neuroscience. Recurrent topics in Michael Schuepbach's work include Neurological disorders and treatments (10 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Neuroscience and Neural Engineering (4 papers). Michael Schuepbach is often cited by papers focused on Neurological disorders and treatments (10 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Neuroscience and Neural Engineering (4 papers). Michael Schuepbach collaborates with scholars based in Switzerland, United Kingdom and France. Michael Schuepbach's co-authors include Ines Debove, Andreas Nowacki, Claudio Pollo, Gerd Tinkhauser, Peter Brown, Syed Ahmar Shah, Panagiotis Bargiotas, Claudio L. Bassetti, Huiling Tan and Alek Pogosyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Neurology.

In The Last Decade

Michael Schuepbach

11 papers receiving 361 citations

Peers

Michael Schuepbach
Monique Giroux United States
Stefan Hägele-Link Switzerland
Roberta Bovenzi Italy
Christian Rosado United States
Matteo Conti Italy
Ishita Basu United States
Jennifer E. Vaughan United States
Masahiko Takaya Japan
Stephanie Guthrie United States
Edvin Zekaj Italy
Monique Giroux United States
Michael Schuepbach
Citations per year, relative to Michael Schuepbach Michael Schuepbach (= 1×) peers Monique Giroux

Countries citing papers authored by Michael Schuepbach

Since Specialization
Citations

This map shows the geographic impact of Michael Schuepbach'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 Michael Schuepbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schuepbach more than expected).

Fields of papers citing papers by Michael Schuepbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Schuepbach. 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 Michael Schuepbach. The network helps show where Michael Schuepbach may publish in the future.

Co-authorship network of co-authors of Michael Schuepbach

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Schuepbach. A scholar is included among the top collaborators of Michael Schuepbach 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 Michael Schuepbach. Michael Schuepbach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Bernasconi, Elena, Ines Debove, Andreas Nowacki, et al.. (2025). Finely Tuned γ Tracks Medication Cycles in Parkinson's Disease: An Ambulatory Brain‐Sense Study. Movement Disorders. 40(5). 881–895. 5 indexed citations
2.
Petermann, Katrin, Ines Debove, Gerd Tinkhauser, et al.. (2024). Quality of Life after Deep Brain Stimulation in Parkinson's Disease: Does the Target Matter?. Movement Disorders Clinical Practice. 11(11). 1379–1387.
3.
Debove, Ines, Katrin Petermann, Andreas Nowacki, et al.. (2023). Deep Brain Stimulation: When to Test Directional?. Movement Disorders Clinical Practice. 10(3). 434–439. 9 indexed citations
4.
Averna, Alberto, Ines Debove, Andreas Nowacki, et al.. (2023). Spectral Topography of the Subthalamic Nucleus to Inform Next‐Generation Deep Brain Stimulation. Movement Disorders. 38(5). 818–830. 14 indexed citations
5.
Tinkhauser, Gerd, Syed Ahmar Shah, Petra Fischer, et al.. (2019). Electrophysiological differences between upper and lower limb movements in the human subthalamic nucleus. Clinical Neurophysiology. 130(5). 727–738. 34 indexed citations
6.
Khawaldeh, Saed, Gerd Tinkhauser, Syed Ahmar Shah, et al.. (2019). Subthalamic nucleus activity dynamics and limb movement prediction in Parkinson’s disease. Brain. 143(2). 582–596. 41 indexed citations
7.
Lau, Brian, Niklaus Meier, Giulia Serra, et al.. (2019). Axial symptoms predict mortality in patients with Parkinson disease and subthalamic stimulation. Neurology. 92(22). e2559–e2570. 50 indexed citations
8.
Tinkhauser, Gerd, Alek Pogosyan, Ines Debove, et al.. (2017). Directional local field potentials: A tool to optimize deep brain stimulation. Movement Disorders. 33(1). 159–164. 125 indexed citations
9.
Bargiotas, Panagiotis, Michael Schuepbach, & Claudio L. Bassetti. (2016). Sleep-wake disturbances in the premotor and early stage of Parkinson's disease. Current Opinion in Neurology. 29(6). 763–772. 33 indexed citations
10.
Ehrensperger, Michael M., Ute Gschwandtner, Florian Hatz, et al.. (2016). Older Candidates for Subthalamic Deep Brain Stimulation in Parkinson's Disease Have a Higher Incidence of Psychiatric Serious Adverse Events. Frontiers in Aging Neuroscience. 8. 132–132. 15 indexed citations
11.
Muellner, Julia, Marie‐Odile Habert, Aurélie Kas, et al.. (2015). Dopaminergic denervation severity depends on COMT Val158Met polymorphism in Parkinson's disease. Parkinsonism & Related Disorders. 21(5). 471–476. 16 indexed citations
12.

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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