Dipankar Nandi

4.4k total citations
88 papers, 3.1k citations indexed

About

Dipankar Nandi is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Dipankar Nandi has authored 88 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Neurology, 47 papers in Cellular and Molecular Neuroscience and 11 papers in Neurology. Recurrent topics in Dipankar Nandi's work include Neurological disorders and treatments (64 papers), Parkinson's Disease Mechanisms and Treatments (37 papers) and Genetic Neurodegenerative Diseases (25 papers). Dipankar Nandi is often cited by papers focused on Neurological disorders and treatments (64 papers), Parkinson's Disease Mechanisms and Treatments (37 papers) and Genetic Neurodegenerative Diseases (25 papers). Dipankar Nandi collaborates with scholars based in United Kingdom, United States and Australia. Dipankar Nandi's co-authors include Tipu Z. Aziz, John Stein, Peter G. Bain, Carole Joint, Ralph Gregory, Ned Jenkinson, John Yianni, Simon Parkin, Hani J. Marcus and Richard Scott and has published in prestigious journals such as The Lancet, Brain and The Journal of Physiology.

In The Last Decade

Dipankar Nandi

83 papers receiving 3.0k citations

Peers

Dipankar Nandi

NEURO

CMN

NEURO

SURGE

Aleksandar Berić United States

Mohammad Maarouf Germany

Takaomi Taira Japan

Jan Vesper Germany

M.R. Magistris Switzerland

Alon Y. Mogilner United States

Domenico Servello Italy

Takamitsu Yamamoto Japan

Masahiro Sonoo Japan

Zvi Israel Israel

Aleksandar Berić United States

Dipankar Nandi

1.9k ×0.8

NEURO

979 ×0.7

CMN

541 ×1.0

NEURO

349 ×1.1

475 ×1.6

SURGE

Citations per year, relative to Dipankar Nandi Dipankar Nandi (= 1×) peers Aleksandar Berić

Countries citing papers authored by Dipankar Nandi

Since Specialization

Citations

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

Fields of papers citing papers by Dipankar Nandi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipankar Nandi

This figure shows the co-authorship network connecting the top 25 collaborators of Dipankar Nandi. A scholar is included among the top collaborators of Dipankar Nandi 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 Dipankar Nandi. Dipankar Nandi 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

Stouwe, A.M. Madelein van der, W. Gedroyc, Benjamin P. Jones, et al.. (2024). Double lesion MRgFUS thalamotomy for essential tremor: 4.5-year outcomes and framework for assessing loss of efficacy and tremor progression. British Journal of Neurosurgery. 39(6). 787–790. 1 indexed citations

Ciocca, Matteo, Nada Yousif, Brynmor Jones, et al.. (2024). Illusions of Self‐Motion during Magnetic Resonance‐Guided Focused Ultrasound Thalamotomy for Tremor. Annals of Neurology. 96(1). 121–132. 3 indexed citations

Marcus, Hani J., et al.. (2020). Improved Prediction of Surgical Resectability in Patients with Glioblastoma using an Artificial Neural Network. Scientific Reports. 10(1). 5143–5143. 19 indexed citations

Bronstein, Adolfo M., et al.. (2019). Pedunculopontine and Subthalamic Nucleus Stimulation Effect on Saccades in Parkinson Disease. World Neurosurgery. 126. e219–e231. 5 indexed citations

Yousif, Nada, Michael Mace, Nicola Pavese, et al.. (2017). A Network Model of Local Field Potential Activity in Essential Tremor and the Impact of Deep Brain Stimulation. PLoS Computational Biology. 13(1). e1005326–e1005326. 20 indexed citations

Kirkman, Matthew A., William Muirhead, Nick Sevdalis, & Dipankar Nandi. (2015). Simulated Ventriculostomy Training With Conventional Neuronavigational Equipment Used Clinically in the Operating Room: Prospective Validation Study. Journal of surgical education. 72(4). 704–716. 8 indexed citations

Mace, Michael, et al.. (2013). An automated approach towards detecting complex behaviours in deep brain oscillations. Journal of Neuroscience Methods. 224. 66–78. 6 indexed citations

Wang, Shuncai, John Yianni, Dipankar Nandi, et al.. (2008). The sensory and motor representation of synchronized oscillations in the globus pallidus in patients with primary dystonia. Brain. 131(6). 1562–1573. 106 indexed citations

Jenkinson, Ned, et al.. (2006). Pedunculopontine nucleus electric stimulation alleviates akinesia independently of dopaminergic mechanisms. Neuroreport. 17(6). 639–641. 51 indexed citations

10.

Nandi, Dipankar, et al.. (2004). Pedunculopontine Nucleus [2] (multiple letters). Journal of neurosurgery. 100(5). 978–979. 1 indexed citations

11.

Yianni, John, Dipankar Nandi, Jonathan Hyam, et al.. (2004). Failure of Chronic Pallidal Stimulation in Dystonic Patients Is a Medical Emergency. Neuromodulation Technology at the Neural Interface. 7(1). 9–12. 5 indexed citations

12.

Bittar, Richard G., John Yianni, Shouyan Wang, et al.. (2004). Deep brain stimulation for generalised dystonia and spasmodic torticollis. Journal of Clinical Neuroscience. 12(1). 12–16. 107 indexed citations

13.

Jenkinson, Ned, Dipankar Nandi, R. Chris Miall, John Stein, & Tipu Z. Aziz. (2004). Pedunculopontine nucleus stimulation improves akinesia in a Parkinsonian monkey. Neuroreport. 15(17). 2621–2624. 149 indexed citations

14.

Yianni, John, Peter G. Bain, Ralph Gregory, et al.. (2003). Post‐operative progress of dystonia patients following globus pallidus internus deep brain stimulation. European Journal of Neurology. 10(3). 239–247. 100 indexed citations

15.

Nandi, Dipankar, et al.. (2002). Peri-ventricular grey stimulation versus motor cortex stimulation for post stroke neuropathic pain. Journal of Clinical Neuroscience. 9(5). 557–561. 49 indexed citations

16.

Nandi, Dipankar. (2002). Reversal of akinesia in experimental parkinsonism by GABA antagonist microinjections in the pedunculopontine nucleus. Brain. 125(11). 2418–2430. 147 indexed citations

17.

Nandi, Dipankar, Tipu Z. Aziz, Xuguang Liu, & John Stein. (2002). Brainstem motor loops in the control of movement. Movement Disorders. 17(S3). S22–S27. 42 indexed citations

18.

Nandi, Dipankar, et al.. (2001). Frequency-dependent effects of chronic deep brain stimulation of the pedunculopontine region in a normal non-human primate. The Journal of Physiology. 533. 6 indexed citations

19.

Aziz, Tipu Z., Dipankar Nandi, Simon Parkin, et al.. (2001). Targeting the Subthalamic Nucleus. Stereotactic and Functional Neurosurgery. 77(1-4). 87–90. 40 indexed citations

20.

Parkin, Simon, Dipankar Nandi, Nir Giladi, et al.. (2001). Lesioning the Subthalamic Nucleus in the Treatment of Parkinson’s Disease. Stereotactic and Functional Neurosurgery. 77(1-4). 68–72. 31 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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