Deepa Dash

1.0k total citations
49 papers, 646 citations indexed

About

Deepa Dash is a scholar working on Psychiatry and Mental health, Neurology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Deepa Dash has authored 49 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Psychiatry and Mental health, 18 papers in Neurology and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Deepa Dash's work include Epilepsy research and treatment (15 papers), Pharmacological Effects and Toxicity Studies (8 papers) and Peripheral Neuropathies and Disorders (7 papers). Deepa Dash is often cited by papers focused on Epilepsy research and treatment (15 papers), Pharmacological Effects and Toxicity Studies (8 papers) and Peripheral Neuropathies and Disorders (7 papers). Deepa Dash collaborates with scholars based in India, Canada and United Kingdom. Deepa Dash's co-authors include Manjari Tripathi, Kameshwar Prasad, Bhargavi Ramanujam, Tiago Mestre, M.V. Padma, Sanjay Pandey, M.V. Padma Srivastava, Rohit Bhatia, Rajesh Kumar Singh and Madhavi Tripathi and has published in prestigious journals such as Neurology, Epilepsia and Journal of Neuroimmunology.

In The Last Decade

Deepa Dash

47 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepa Dash India 14 288 207 147 119 98 49 646
Aysun Soysal Türkiye 14 252 0.9× 140 0.7× 137 0.9× 45 0.4× 77 0.8× 84 630
Alcy Torres United States 18 312 1.1× 129 0.6× 147 1.0× 146 1.2× 62 0.6× 70 727
Sonia Santos Lasaosa Spain 15 438 1.5× 236 1.1× 67 0.5× 62 0.5× 110 1.1× 124 765
Biswaroop Chakrabarty India 14 286 1.0× 112 0.5× 151 1.0× 57 0.5× 94 1.0× 101 718
Boulenouar Mesraoua Qatar 14 228 0.8× 108 0.5× 127 0.9× 108 0.9× 62 0.6× 56 654
Çetin Okuyaz Türkiye 17 433 1.5× 129 0.6× 369 2.5× 101 0.8× 128 1.3× 80 899
Meral Özmen Türkiye 17 243 0.8× 120 0.6× 228 1.6× 101 0.8× 85 0.9× 67 830
Santosh Mordekar United Kingdom 16 175 0.6× 145 0.7× 125 0.9× 52 0.4× 129 1.3× 48 655
Ayşe Tosun Türkiye 14 260 0.9× 107 0.5× 169 1.1× 66 0.6× 54 0.6× 51 554
Filippo Donati Switzerland 17 340 1.2× 99 0.5× 216 1.5× 78 0.7× 113 1.2× 40 702

Countries citing papers authored by Deepa Dash

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepa Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Deepa Dash. A scholar is included among the top collaborators of Deepa Dash 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 Deepa Dash. Deepa Dash 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.
Tripathi, Manjari, Bhargavi Ramanujam, Vivek Singh, et al.. (2021). Diagnostic added value of interictal magnetic source imaging in presurgical evaluation of persons with epilepsy: A prospective blinded study. European Journal of Neurology. 28(9). 2940–2951. 4 indexed citations
2.
Dash, Deepa, Madhulika Kabra, Roopa Rajan, et al.. (2021). Spectrum of Movement Disorders of Late-Onset Niemann-Pick Disease Type C. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 49(6). 804–808. 1 indexed citations
3.
Singh, Nishita, Rohit Bhatia, Prerna Bali, et al.. (2021). Clinical Features, Gender Differences, Disease Course, and Outcome in Neuromyelitis Optica Spectrum Disorder. Annals of Indian Academy of Neurology. 24(2). 186–191. 3 indexed citations
4.
Bhatia, Rohit, Ajay Garg, M.V. Padma Srivastava, et al.. (2020). Do Imaging Markers of Cerebral Small Vessel Disease Predict Hematoma Volume and Outcome in Acute Intracerebral Hemorrhage?. Annals of Indian Academy of Neurology. 24(2). 204–210. 6 indexed citations
5.
Dash, Deepa & Tiago Mestre. (2020). Therapeutic Update on Huntington's Disease: Symptomatic Treatments and Emerging Disease-Modifying Therapies. Neurotherapeutics. 17(4). 1645–1659. 39 indexed citations
6.
Dash, Deepa, et al.. (2018). Proportion and spectrum of movement disorders in adolescent and adult patients of autoimmune encephalitis of non-neoplastic aetiology. Journal of Clinical Neuroscience. 59. 185–189. 13 indexed citations
7.
Elavarasi, Arunmozhimaran, Sarat P. Chandra, Ajay Garg, et al.. (2018). Magnetoencephalography in Epilepsy surgery: Concordance and Yield (P1.276). Neurology. 90(15_supplement). 1 indexed citations
8.
Bhatia, Rohit, et al.. (2018). Confusional state in a pregnant woman: A case of NMDA receptor encephalitis during pregnancy. Journal of Neuroimmunology. 325. 29–31. 9 indexed citations
9.
Ramanujam, Bhargavi, Deepa Dash, & Manjari Tripathi. (2018). Can home videos made on smartphones complement video-EEG in diagnosing psychogenic nonepileptic seizures?. Seizure. 62. 95–98. 39 indexed citations
10.
Elavarasi, Arunmozhimaran, Deepa Dash, Rohit Bhatia, et al.. (2017). Spinal cord involvement in primary CNS lymphoma. Journal of Clinical Neuroscience. 47. 145–148. 6 indexed citations
11.
Garg, Divyani, et al.. (2017). Neuroleptic malignant syndrome as a presenting feature of subacute sclerosing panencephalitis. Journal of NeuroVirology. 24(1). 128–131. 3 indexed citations
12.
Tripathi, Madhavi, Shambo Guha Roy, Girish Kumar Parida, et al.. (2017). Metabolic topography of autoimmune non-paraneoplastic encephalitis. Neuroradiology. 60(2). 189–198. 40 indexed citations
13.
Ramanujam, Bhargavi, Ajay Garg, M.V. Padma, et al.. (2016). Utility of a questionnaire tool (QUARAS) for localizing and lateralizing seizures in the epilepsy monitoring unit (EMU). Clinical Neurology and Neurosurgery. 153. 64–66. 1 indexed citations
14.
Dash, Deepa, et al.. (2016). Paraneoplastic syndrome mimicking progressive supranuclear palsy. Journal of Clinical Neuroscience. 32. 162–163. 10 indexed citations
15.
Dash, Deepa, et al.. (2016). Neurosarcoidosis presenting as a large dural mass lesion. BMJ Case Reports. 2016. bcr2016216793–bcr2016216793. 2 indexed citations
16.
Dash, Deepa, et al.. (2016). Can home video facilitate diagnosis of epilepsy type in a developing country?. Epilepsy Research. 125. 19–23. 44 indexed citations
17.
Dash, Deepa, Vikas Aggarwal, Rupa Joshi, M.V. Padma, & Manjari Tripathi. (2015). Effect of reduction of antiepileptic drugs in patients with drug-refractory epilepsy. Seizure. 27. 25–29. 30 indexed citations
18.
Prasad, Kameshwar, et al.. (2015). Cerebral venous thrombosis: An Indian perspective. Neurology India. 63(3). 318–318. 40 indexed citations
19.
Dash, Deepa, et al.. (2015). History of neurology at All India Institute of Medical Sciences. Neurology India. 63(5). 751–751. 1 indexed citations
20.
Dash, Deepa, et al.. (2014). The extratemporal lobe epilepsies in the epilepsy monitoring unit. Annals of Indian Academy of Neurology. 17(5). 50–50. 4 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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