David Arkadir

3.4k total citations
69 papers, 1.8k citations indexed

About

David Arkadir is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, David Arkadir has authored 69 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Neurology, 23 papers in Cellular and Molecular Neuroscience and 10 papers in Cognitive Neuroscience. Recurrent topics in David Arkadir's work include Neurological disorders and treatments (32 papers), Parkinson's Disease Mechanisms and Treatments (31 papers) and Genetic Neurodegenerative Diseases (10 papers). David Arkadir is often cited by papers focused on Neurological disorders and treatments (32 papers), Parkinson's Disease Mechanisms and Treatments (31 papers) and Genetic Neurodegenerative Diseases (10 papers). David Arkadir collaborates with scholars based in Israel, United States and Germany. David Arkadir's co-authors include Hagai Bergman, Genela Morris, Eilon Vaadia, Alon Nevet, Zvi Israel, Adam Zaidel, Elan D. Louis, Renana Eitan, Mati Joshua and Stanley Fahn and has published in prestigious journals such as New England Journal of Medicine, Neuron and Journal of Clinical Oncology.

In The Last Decade

David Arkadir

66 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Arkadir Israel 18 936 778 745 344 124 69 1.8k
Juri‐Alexander Witt Germany 28 982 1.0× 582 0.7× 477 0.6× 178 0.5× 135 1.1× 101 2.5k
Gaetano Cantalupo Italy 23 506 0.5× 1.1k 1.4× 296 0.4× 393 1.1× 217 1.8× 93 2.3k
Bertrand Degos France 29 976 1.0× 430 0.6× 1.3k 1.8× 284 0.8× 129 1.0× 96 2.3k
Yasushi Shimo Japan 22 450 0.5× 392 0.5× 943 1.3× 210 0.6× 158 1.3× 90 1.8k
Mathieu Milh France 30 1.0k 1.1× 828 1.1× 192 0.3× 723 2.1× 127 1.0× 101 2.7k
Codrin Lungu United States 22 872 0.9× 300 0.4× 912 1.2× 655 1.9× 64 0.5× 56 1.9k
Marta San Luciano United States 27 1.4k 1.5× 563 0.7× 2.1k 2.8× 284 0.8× 209 1.7× 51 2.9k
Emmanuelle Apartis France 22 578 0.6× 339 0.4× 1.1k 1.5× 224 0.7× 108 0.9× 64 1.7k
R. Malcolm Stewart United States 21 606 0.6× 335 0.4× 400 0.5× 351 1.0× 103 0.8× 47 1.7k
Amit Batla United Kingdom 23 429 0.5× 292 0.4× 843 1.1× 153 0.4× 76 0.6× 60 1.5k

Countries citing papers authored by David Arkadir

Since Specialization
Citations

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

Fields of papers citing papers by David Arkadir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Arkadir

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

All Works

20 of 20 papers shown
1.
Andreasi, Nico Golfrè, Sara Rinaldo, Zvi Israel, et al.. (2025). Spiking Patterns in the Globus Pallidus Highlight Convergent Neural Dynamics across Diverse Genetic Dystonia Syndromes. Annals of Neurology. 97(5). 826–844. 3 indexed citations
2.
Arkadir, David, et al.. (2023). Manganese Accumulation in the Brain. New England Journal of Medicine. 389(14). 1320–1320. 2 indexed citations
3.
Linetsky, Eduard, et al.. (2023). The Genetic Etiology of Parkinson's Disease Does Not Robustly Affect Subthalamic Physiology. Movement Disorders. 38(3). 484–489. 4 indexed citations
4.
Pal, Gian, Daniel M. Corcos, Leo Verhagen Metman, et al.. (2023). Cognitive Effects of Subthalamic Nucleus Deep Brain Stimulation in Parkinson's Disease with GBA1 Pathogenic Variants. Movement Disorders. 38(12). 2155–2162. 6 indexed citations
5.
Arkadir, David, et al.. (2022). Variable effects of omaveloxolone (RTA408) on primary fibroblasts with mitochondrial defects. Frontiers in Molecular Biosciences. 9. 890653–890653. 7 indexed citations
6.
Mor‐Shaked, Hagar, Simona Ben‐Haim, Zvi Israel, et al.. (2021). Levodopa-responsive dystonia caused by biallelic PRKN exon inversion invisible to exome sequencing. Brain Communications. 3(3). fcab197–fcab197. 9 indexed citations
7.
Mor‐Shaked, Hagar, et al.. (2020). Benign SLC39A14 Course of Dystonia‐Parkinsonism Secondary to Inherited Manganese Accumulation. Movement Disorders Clinical Practice. 7(5). 569–570. 6 indexed citations
8.
9.
Arkadir, David, Tama Dinur, Shoshana Revel‐Vilk, et al.. (2019). Prodromal substantia nigra sonography undermines suggested association between substrate accumulation and the risk for GBA‐related Parkinson's disease. European Journal of Neurology. 26(7). 1013–1018. 12 indexed citations
10.
Arkadir, David, Eduard Linetsky, Atira Bick, et al.. (2019). Theta‐alpha Oscillations Characterize Emotional Subregion in the Human Ventral Subthalamic Nucleus. Movement Disorders. 35(2). 337–343. 29 indexed citations
11.
Grigoletto, Jéssica, et al.. (2019). α‐Synuclein in blood cells differentiates Parkinson’s disease from healthy controls. Annals of Clinical and Translational Neurology. 6(12). 2426–2436. 35 indexed citations
12.
Paltiel, Ora, et al.. (2019). A machine learning algorithm successfully screens for Parkinson's in web users. Annals of Clinical and Translational Neurology. 6(12). 2503–2509. 14 indexed citations
13.
Sidransky, Ellen, David Arkadir, Peter Bauer, et al.. (2019). Substrate Reduction Therapy for GBA1‐Associated Parkinsonism: Are We Betting on the Wrong Mouse?. Movement Disorders. 35(2). 228–230. 12 indexed citations
14.
Marmor, Odeya, Atira Bick, David Arkadir, et al.. (2018). Subthalamic theta activity: a novel human subcortical biomarker for obsessive compulsive disorder. Translational Psychiatry. 8(1). 118–118. 55 indexed citations
15.
Bergman, Hagai, et al.. (2017). Increased energy expenditure during posture maintenance and exercise in early Parkinson disease. Health Science Reports. 1(1). e14–e14. 6 indexed citations
16.
Arkadir, David, Tama Dinur, Stephen Mullin, et al.. (2016). Trio approach reveals higher risk of PD in carriers of severe vs. mild GBA mutations. Blood Cells Molecules and Diseases. 68. 115–116. 16 indexed citations
17.
Cohen, José E., John M. Gomori, Ronen R. Leker, et al.. (2011). Preliminary experience with the use of self-expanding stent as a thrombectomy device in ischemic stroke. Neurological Research. 33(2). 214–219. 21 indexed citations
18.
Arkadir, David, Alon Nevet, Genela Morris, et al.. (2008). Encoding by Response Duration in the Basal Ganglia. Journal of Neurophysiology. 100(6). 3244–3252. 7 indexed citations
19.
Elias, Shlomo, Mati Joshua, Joshua A. Goldberg, et al.. (2007). Statistical Properties of Pauses of the High-Frequency Discharge Neurons in the External Segment of the Globus Pallidus. Journal of Neuroscience. 27(10). 2525–2538. 76 indexed citations
20.
Arkadir, David, Genela Morris, Eilon Vaadia, & Hagai Bergman. (2004). Independent Coding of Movement Direction and Reward Prediction by Single Pallidal Neurons. Journal of Neuroscience. 24(45). 10047–10056. 81 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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