Jan Roediger

876 total citations
18 papers, 526 citations indexed

About

Jan Roediger is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Jan Roediger has authored 18 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Neurology, 10 papers in Cellular and Molecular Neuroscience and 5 papers in Cognitive Neuroscience. Recurrent topics in Jan Roediger's work include Neurological disorders and treatments (18 papers), Parkinson's Disease Mechanisms and Treatments (16 papers) and Neuroscience and Neural Engineering (9 papers). Jan Roediger is often cited by papers focused on Neurological disorders and treatments (18 papers), Parkinson's Disease Mechanisms and Treatments (16 papers) and Neuroscience and Neural Engineering (9 papers). Jan Roediger collaborates with scholars based in Germany, United States and United Kingdom. Jan Roediger's co-authors include Till A. Dembek, Andrea A. Kühn, Michael T. Barbe, Lars Timmermann, Haidar S. Dafsari, Veerle Visser‐Vandewalle, Paul Reker, Andreas Horn, Jochen Wirths and Harald Treuer and has published in prestigious journals such as Nature Communications, Annals of Neurology and Sensors.

In The Last Decade

Jan Roediger

17 papers receiving 520 citations

Peers

Jan Roediger

NEURO

CMN

NEURO

RNMI

Nathan Ziman United States

H.C.F. Martens Netherlands

Luka Milosevic Canada

Yong Hoon Lim South Korea

Arne Mosch Netherlands

M. Egidi Italy

Kabilar Gunalan United States

Michael Schuepbach Switzerland

Jan Niklas Petry‐Schmelzer Germany

Camilla Kilbane United States

Nathan Ziman United States

Jan Roediger

517 ×1.0

NEURO

378 ×1.3

CMN

136 ×1.5

94 ×1.1

NEURO

30 ×0.8

RNMI

Citations per year, relative to Jan Roediger Jan Roediger (= 1×) peers Nathan Ziman

Countries citing papers authored by Jan Roediger

Since Specialization

Citations

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

Fields of papers citing papers by Jan Roediger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Roediger

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

All Works

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18 of 18 papers shown

Peach, Robert L., Jeroen Habets, Jonathan Kaplan, et al.. (2025). Long‐Term Stability of Spatial Distribution and Peak Dynamics of Subthalamic Beta Power in Parkinson's Disease Patients. Movement Disorders. 40(6). 1070–1084. 2 indexed citations

Habets, Jeroen, Lucia K. Feldmann, Jan Roediger, et al.. (2025). Gamma entrainment induced by deep brain stimulation as a biomarker for motor improvement with neuromodulation. Nature Communications. 16(1). 2956–2956. 2 indexed citations

Kübler, Dorothee, Heiner Stuke, Gerd‐Helge Schneider, et al.. (2025). Predicting cognition after subthalamic Deep Brain Stimulation in Parkinson’s Disease. npj Parkinson s Disease. 11(1). 265–265.

Butenko, Konstantin, Jan Roediger, Bassam Al‐Fatly, et al.. (2025). Activation metrics for structural connectivity recruitment in deep brain stimulation. Brain Communications. 7(5). fcaf301–fcaf301. 2 indexed citations

Habets, Jeroen, Lucia K. Feldmann, Jan Roediger, et al.. (2024). Single threshold adaptive deep brain stimulation in Parkinson's disease depends on parameter selection, movement state and controllability of subthalamic beta activity. Brain stimulation. 17(1). 125–133. 21 indexed citations

Habets, Jeroen, Rachel K. Spooner, Lucia K. Feldmann, et al.. (2023). A First Methodological Development and Validation of ReTap: An Open-Source UPDRS Finger Tapping Assessment Tool Based on Accelerometer-Data. Sensors. 23(11). 5238–5238. 5 indexed citations

Feldmann, Lucia K., Roxanne Lofredi, Bassam Al‐Fatly, et al.. (2023). Christmas‐Related Reduction in Beta Activity in Parkinson's Disease. Movement Disorders. 38(4). 692–697. 8 indexed citations

Roediger, Jan, Katharina Faust, Gerd‐Helge Schneider, et al.. (2023). Local Field Potentials Predict Motor Performance in Deep Brain Stimulation for Parkinson's Disease. Movement Disorders. 38(12). 2185–2196. 11 indexed citations

Habets, Jeroen, Lucia K. Feldmann, Jan Roediger, et al.. (2023). Single Threshold Adaptive Deep Brain Stimulation in Parkinson's Disease Depends on Parameter Selection, Movement State and Controllability of Subthalamic Beta Activity. SSRN Electronic Journal. 3 indexed citations

10.

Feldmann, Lucia K., Roxanne Lofredi, Wolf‐Julian Neumann, et al.. (2022). Toward therapeutic electrophysiology: beta-band suppression as a biomarker in chronic local field potential recordings. npj Parkinson s Disease. 8(1). 44–44. 72 indexed citations

11.

Butenko, Konstantin, Ningfei Li, Clemens Neudorfer, et al.. (2022). Linking profiles of pathway activation with clinical motor improvements – A retrospective computational study. NeuroImage Clinical. 36. 103185–103185. 4 indexed citations

12.

Roediger, Jan, Till A. Dembek, Johannes Achtzehn, et al.. (2022). Automated deep brain stimulation programming based on electrode location: a randomised, crossover trial using a data-driven algorithm. The Lancet Digital Health. 5(2). e59–e70. 20 indexed citations

13.

Oxenford, Simón, Jan Roediger, Clemens Neudorfer, et al.. (2022). Lead-OR: A multimodal platform for deep brain stimulation surgery. eLife. 11. 12 indexed citations

14.

Roediger, Jan, Till A. Dembek, Gregor Wenzel, et al.. (2021). StimFit—A Data‐Driven Algorithm for Automated Deep Brain Stimulation Programming. Movement Disorders. 37(3). 574–584. 25 indexed citations

15.

Wenzel, Gregor, Jan Roediger, Christof Brücke, et al.. (2021). CLOVER-DBS: Algorithm-Guided Deep Brain Stimulation-Programming Based on External Sensor Feedback Evaluated in a Prospective, Randomized, Crossover, Double-Blind, Two-Center Study. Journal of Parkinson s Disease. 11(4). 1887–1899. 11 indexed citations

16.

Dembek, Till A., Jan Roediger, Andreas Horn, et al.. (2019). Probabilistic sweet spots predict motor outcome for deep brain stimulation in Parkinson disease. Annals of Neurology. 86(4). 527–538. 130 indexed citations

17.

Roediger, Jan, Carlo Alberto Artusi, Alberto Romagnolo, et al.. (2019). Effect of subthalamic deep brain stimulation on posture in Parkinson's disease: A blind computerized analysis. Parkinsonism & Related Disorders. 62. 122–127. 30 indexed citations

18.

Dembek, Till A., Paul Reker, Veerle Visser‐Vandewalle, et al.. (2017). Directional DBS increases side‐effect thresholds—A prospective, double‐blind trial. Movement Disorders. 32(10). 1380–1388. 168 indexed citations

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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