Ritesh Ramdhani

1.1k total citations
38 papers, 692 citations indexed

About

Ritesh Ramdhani is a scholar working on Neurology, Cellular and Molecular Neuroscience and Rheumatology. According to data from OpenAlex, Ritesh Ramdhani has authored 38 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Neurology, 13 papers in Cellular and Molecular Neuroscience and 6 papers in Rheumatology. Recurrent topics in Ritesh Ramdhani's work include Neurological disorders and treatments (31 papers), Parkinson's Disease Mechanisms and Treatments (18 papers) and Genetic Neurodegenerative Diseases (11 papers). Ritesh Ramdhani is often cited by papers focused on Neurological disorders and treatments (31 papers), Parkinson's Disease Mechanisms and Treatments (18 papers) and Genetic Neurodegenerative Diseases (11 papers). Ritesh Ramdhani collaborates with scholars based in United States, Poland and Ireland. Ritesh Ramdhani's co-authors include Kristina Simonyan, Steven J. Frucht, Brian H. Kopell, Anahita Khojandi, Pichet Termsarasab, Oleg V. Shylo, Giovanni Battistella, Stefan Fuertinger, Miodrag Velickovic and Michele Tagliati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Management Science.

In The Last Decade

Ritesh Ramdhani

34 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ritesh Ramdhani United States 13 518 192 102 87 86 38 692
J. L. Zubieta Spain 20 308 0.6× 128 0.7× 221 2.2× 127 1.5× 112 1.3× 42 952
Francesca Notturno Italy 18 662 1.3× 568 3.0× 141 1.4× 102 1.2× 68 0.8× 32 954
Jean‐Baptiste Chanson France 16 446 0.9× 161 0.8× 74 0.7× 32 0.4× 45 0.5× 50 761
Gena Heidary United States 19 357 0.7× 65 0.3× 217 2.1× 88 1.0× 90 1.0× 83 1.0k
K. Amande M. Pauls Germany 19 606 1.2× 316 1.6× 42 0.4× 128 1.5× 21 0.2× 37 973
Katsumi Kurokawa Japan 10 263 0.5× 117 0.6× 60 0.6× 36 0.4× 65 0.8× 55 502
D Michel France 12 377 0.7× 137 0.7× 80 0.8× 76 0.9× 116 1.3× 36 647
Pichet Termsarasab United States 14 381 0.7× 167 0.9× 52 0.5× 59 0.7× 92 1.1× 42 636
Nadir Abdelrahman United States 14 233 0.4× 105 0.5× 185 1.8× 52 0.6× 55 0.6× 30 1.1k
Atsuhiko Sugiyama Japan 12 285 0.6× 254 1.3× 117 1.1× 37 0.4× 58 0.7× 68 573

Countries citing papers authored by Ritesh Ramdhani

Since Specialization
Citations

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

Fields of papers citing papers by Ritesh Ramdhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritesh Ramdhani

This figure shows the co-authorship network connecting the top 25 collaborators of Ritesh Ramdhani. A scholar is included among the top collaborators of Ritesh Ramdhani 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 Ritesh Ramdhani. Ritesh Ramdhani 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.
Vo, An, Yilong Ma, Chris C. Tang, et al.. (2025). Preoperative network activity predicts the response to subthalamic DBS for Parkinson's disease. Neurotherapeutics. 22(5). e00699–e00699.
2.
3.
Niethammer, Martin, et al.. (2024). Machine learning model comparison for freezing of gait prediction in advanced Parkinson’s disease. Frontiers in Aging Neuroscience. 16. 1431280–1431280. 3 indexed citations
4.
Ramdhani, Ritesh, et al.. (2024). Why are clinical trials of deep brain stimulation terminated? An analysis of clinicaltrials.gov. World Neurosurgery X. 23. 100378–100378. 2 indexed citations
5.
Khojandi, Anahita, et al.. (2023). Optimizing Patient-Specific Medication Regimen Policies Using Wearable Sensors in Parkinson’s Disease. Management Science. 69(10). 5964–5982. 7 indexed citations
6.
Ramdhani, Ritesh, et al.. (2023). Differential spatiotemporal gait effects with frequency and dopaminergic modulation in STN-DBS. Frontiers in Aging Neuroscience. 15. 1206533–1206533. 5 indexed citations
7.
Schulder, Michael, et al.. (2023). An Institutional Experience of Directional Deep Brain Stimulation and a Review of the Literature. Neuromodulation Technology at the Neural Interface. 27(3). 544–550. 5 indexed citations
8.
Ramdhani, Ritesh, et al.. (2022). Directional Deep Brain Stimulation in the Treatment of Parkinson's Disease. 18(1). 64–64. 5 indexed citations
9.
Khojandi, Anahita, et al.. (2021). Improving Medication Regimen Recommendation for Parkinson’s Disease Using Sensor Technology. Sensors. 21(10). 3553–3553. 12 indexed citations
10.
Ramdhani, Ritesh, et al.. (2020). Opsoclonus-Myoclonus-Ataxia Syndrome Related to the Novel Coronavirus (COVID-19). Journal of Neuro-Ophthalmology. 41(3). e288–e289. 31 indexed citations
11.
Duell, P. Barton, Gerald Salen, Florian Eichler, et al.. (2018). Diagnosis, treatment, and clinical outcomes in 43 cases with cerebrotendinous xanthomatosis. Journal of clinical lipidology. 12(5). 1169–1178. 85 indexed citations
12.
Khojandi, Anahita, Oleg V. Shylo, Lucia Mannini, Brian H. Kopell, & Ritesh Ramdhani. (2017). Stratifying Parkinson’s Patients With STN-DBS Into High-Frequency or 60 Hz-Frequency Modulation Using a Computational Model. Neuromodulation Technology at the Neural Interface. 20(5). 450–455. 5 indexed citations
13.
Ramdhani, Ritesh, et al.. (2016). Improvement of Isolated Myoclonus Phenotype in Myoclonus Dystonia after Pallidal Deep Brain Stimulation. SHILAP Revista de lepidopterología. 6. 369–369. 14 indexed citations
14.
O’Halloran, Rafael, Alexander G Chartrain, Jonathan J. Rasouli, Ritesh Ramdhani, & Brian H. Kopell. (2016). Case Study of Image-Guided Deep Brain Stimulation: Magnetic Resonance Imaging–Based White Matter Tractography Shows Differences in Responders and Nonresponders. World Neurosurgery. 96. 613.e9–613.e16. 10 indexed citations
15.
Ramdhani, Ritesh, et al.. (2016). Improvement of Isolated Myoclonus Phenotype in Myoclonus Dystonia after Pallidal Deep Brain Stimulation. Tremor and Other Hyperkinetic Movements. 6(0). 369–369. 9 indexed citations
16.
Termsarasab, Pichet, Ritesh Ramdhani, Giovanni Battistella, et al.. (2015). Neural correlates of abnormal sensory discrimination in laryngeal dystonia. NeuroImage Clinical. 10. 18–26. 42 indexed citations
17.
Ramdhani, Ritesh, et al.. (2015). Pseudobulbar laughter as a levodopa off phenomenon exacerbated by subthalamic deep brain stimulation. PubMed. 2(1). 13–13. 6 indexed citations
18.
19.
Battistella, Giovanni, Pichet Termsarasab, Ritesh Ramdhani, Stefan Fuertinger, & Kristina Simonyan. (2015). Isolated Focal Dystonia as a Disorder of Large-Scale Functional Networks. Cerebral Cortex. 27(2). bhv313–bhv313. 86 indexed citations
20.
Ramdhani, Ritesh & Kristina Simonyan. (2013). Primary Dystonia: Conceptualizing the Disorder Through a Structural BrainImaging Lens. SHILAP Revista de lepidopterología. 38 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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