David J. Pedrosa

2.0k total citations
68 papers, 1.1k citations indexed

About

David J. Pedrosa is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, David J. Pedrosa has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Neurology, 22 papers in Cellular and Molecular Neuroscience and 13 papers in Cognitive Neuroscience. Recurrent topics in David J. Pedrosa's work include Parkinson's Disease Mechanisms and Treatments (47 papers), Neurological disorders and treatments (45 papers) and Genetic Neurodegenerative Diseases (12 papers). David J. Pedrosa is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (47 papers), Neurological disorders and treatments (45 papers) and Genetic Neurodegenerative Diseases (12 papers). David J. Pedrosa collaborates with scholars based in Germany, United Kingdom and Netherlands. David J. Pedrosa's co-authors include Lars Timmermann, Peter Brown, Carsten Eggers, Gereon R. Fink, Hayriye Cagnan, Simon Little, Binith Cheeran, Thomas Foltynie, Franziska Maier and K. Amande M. Pauls and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David J. Pedrosa

62 papers receiving 1.1k citations

Peers

David J. Pedrosa

NEURO

CMN

NEURO

RNMI

Leonardo Almeida United States

William Fernández Colombia

Asaph Nini Israel

Igor Petrović Serbia

Davide Martino United Kingdom

Mary Ann Thenganatt United States

Milica Ječmenica‐Lukić Serbia

Christopher Kobylecki United Kingdom

Alexander Pantelyat United States

Nataliya Titova Russia

Leonardo Almeida United States

David J. Pedrosa

1.2k ×1.3

NEURO

629 ×1.1

CMN

237 ×0.9

157 ×1.3

NEURO

172 ×2.5

RNMI

Citations per year, relative to David J. Pedrosa David J. Pedrosa (= 1×) peers Leonardo Almeida

Countries citing papers authored by David J. Pedrosa

Since Specialization

Citations

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

Fields of papers citing papers by David J. Pedrosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Pedrosa. 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 David J. Pedrosa. The network helps show where David J. Pedrosa may publish in the future.

Co-authorship network of co-authors of David J. Pedrosa

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

All Works

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20 of 20 papers shown

Regensburger, Martin, Ilona Csóti, Wolfgang H. Jost, et al.. (2025). Motor and non-motor fluctuations in Parkinson’s disease: the knowns and unknowns of current therapeutic approaches. Journal of Neural Transmission. 133(2). 309–324.

Zahnert, Felix, Marcus Belke, Boris Keil, et al.. (2024). The connectivity-based architecture of the human piriform cortex. NeuroImage. 297. 120747–120747. 4 indexed citations

Dembek, Till A., et al.. (2024). Theta frequency deep brain stimulation in the subthalamic nucleus improves working memory in Parkinson’s disease. Brain. 147(4). 1190–1196. 15 indexed citations

Lorenzl, Stefan, et al.. (2024). Factors Associated with Preferred Place of Care and Death in Patients with Parkinson’s Disease: A Cross-Sectional Study. Journal of Parkinson s Disease. 14(3). 589–599.

Bopp, Miriam H. A., et al.. (2024). Structural connectivity of low-frequency subthalamic stimulation for improving stride length in Parkinson’s disease. NeuroImage Clinical. 42. 103591–103591. 2 indexed citations

Laugisch, Oliver, Thorsten Mathias Auschill, Sigrun Eick, et al.. (2024). Glucose-6-Phosphatase-Dehydrogenase activity as modulative association between Parkinson’s disease and periodontitis. Frontiers in Cellular and Infection Microbiology. 14. 1298546–1298546. 4 indexed citations

Librizzi, Damiano, Frederik A. Verburg, Tino Schurrat, et al.. (2024). Connectivity based on glucose dynamics reveals exaggerated sensorimotor network coupling on subject-level in Parkinson’s disease. European Journal of Nuclear Medicine and Molecular Imaging. 51(12). 3630–3642. 1 indexed citations

Hopfner, Franziska, Carsten Buhmann, Joseph Claßen, et al.. (2024). Tips and tricks in tremor treatment. Journal of Neural Transmission. 131(10). 1229–1246.

Greuel, Andrea, et al.. (2023). Why the clock ticks differently in Parkinson's disease: Insights from motor imagery and resting-state functional magnetic resonance imaging. Heliyon. 9(4). e14741–e14741. 1 indexed citations

10.

Waldthaler, Josefine, et al.. (2023). Non‐lesional treatments for tremor in Parkinson's disease: A systematic review and meta‐analysis. European Journal of Neurology. 30(8). 2544–2556. 1 indexed citations

11.

Atkinson, Anthony C., et al.. (2023). Randomizing a clinical trial in neuro-degenerative disease. Contemporary Clinical Trials Communications. 33. 101140–101140. 3 indexed citations

12.

Timmermann, Lars, et al.. (2023). Safety perception in patients with advanced idiopathic Parkinson’s disease – a qualitative study. Frontiers in Aging Neuroscience. 15. 1200143–1200143. 1 indexed citations

13.

Tönges, Lars, Carsten Buhmann, Stephan Klebe, et al.. (2022). Blood-based biomarker in Parkinson’s disease: potential for future applications in clinical research and practice. Journal of Neural Transmission. 129(9). 1201–1217. 32 indexed citations

14.

Pedrosa, David J., et al.. (2022). Measuring Quality of Life in Parkinson’s Disease—A Call to Rethink Conceptualizations and Assessments. Journal of Personalized Medicine. 12(5). 804–804. 3 indexed citations

15.

Pedrosa, David J., et al.. (2021). Non-lesional treatment options for tremor in idiopathic Parkinson syndrome: a protocol for a systematic literature review. BMJ Open. 11(8). e048367–e048367. 1 indexed citations

16.

Pedrosa, David J., et al.. (2021). Prediction of motor Unified Parkinson's Disease Rating Scale scores in patients with Parkinson’s disease using surface electromyography. Clinical Neurophysiology. 132(7). 1708–1713. 19 indexed citations

17.

Tan, Huiling, Jean Debarros, Shenghong He, et al.. (2019). Decoding voluntary movements and postural tremor based on thalamic LFPs as a basis for closed-loop stimulation for essential tremor. Brain stimulation. 12(4). 858–867. 47 indexed citations

18.

Herz, Damian M., Simon Little, David J. Pedrosa, et al.. (2018). Mechanisms Underlying Decision-Making as Revealed by Deep-Brain Stimulation in Patients with Parkinson’s Disease. Current Biology. 28(8). 1169–1178.e6. 63 indexed citations

19.

Pedrosa, David J., et al.. (2013). Review: management of Parkinson's disease. Neuropsychiatric Disease and Treatment. 9. 321–321. 49 indexed citations

20.

Eggers, Carsten, Andreas Holstein, Christine Schneider, et al.. (2012). 123I-FP-CIT-SPECT zur Darstellung des Dopaminstatus – Vergleich der visuellen Beurteilung des dopaminergen Degenerationsmusters und der quantitiativen Auswertung mit 2D-manueller und 3D-automatisierter Methode. Nuklearmedizin - NuclearMedicine. 51(6). 244–251. 5 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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