Nutan Sharma

4.9k total citations
90 papers, 2.6k citations indexed

About

Nutan Sharma is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Nutan Sharma has authored 90 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Neurology, 40 papers in Cellular and Molecular Neuroscience and 17 papers in Molecular Biology. Recurrent topics in Nutan Sharma's work include Neurological disorders and treatments (44 papers), Genetic Neurodegenerative Diseases (35 papers) and Parkinson's Disease Mechanisms and Treatments (22 papers). Nutan Sharma is often cited by papers focused on Neurological disorders and treatments (44 papers), Genetic Neurodegenerative Diseases (35 papers) and Parkinson's Disease Mechanisms and Treatments (22 papers). Nutan Sharma collaborates with scholars based in United States, Canada and Japan. Nutan Sharma's co-authors include Xandra O. Breakefield, David G. Standaert, Bradley T. Hyman, Pamela J. McLean, Hibiki Kawamata, D. Cristopher Bragg, Jeffrey Hewett, Laurie J. Ozelius, Antonio Pisani and Paola Bonsi and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Journal of Neuroscience.

In The Last Decade

Nutan Sharma

80 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nutan Sharma United States 27 1.8k 1.4k 618 300 256 90 2.6k
Deborah Raymond United States 34 3.2k 1.8× 2.3k 1.6× 680 1.1× 304 1.0× 453 1.8× 81 4.0k
Xian Lin China 19 1.4k 0.8× 842 0.6× 764 1.2× 363 1.2× 540 2.1× 44 2.3k
Ikuko Mizuta Japan 26 891 0.5× 762 0.5× 736 1.2× 166 0.6× 334 1.3× 98 2.0k
Niccolò E. Mencacci United Kingdom 25 1.3k 0.7× 798 0.6× 675 1.1× 315 1.1× 426 1.7× 58 2.1k
Johann Hagenah Germany 25 1.3k 0.7× 717 0.5× 507 0.8× 127 0.4× 264 1.0× 60 2.0k
Karine Parain France 19 728 0.4× 827 0.6× 751 1.2× 161 0.5× 106 0.4× 29 1.7k
Andrea Ciammola Italy 23 1.1k 0.6× 2.0k 1.4× 1.7k 2.7× 154 0.5× 318 1.2× 64 2.9k
Giovanni Piccoli Italy 22 772 0.4× 684 0.5× 865 1.4× 426 1.4× 365 1.4× 60 1.8k
E. R. Brunt Netherlands 35 1.2k 0.7× 2.6k 1.8× 2.7k 4.4× 288 1.0× 165 0.6× 55 3.7k
Mickaël Decressac Sweden 21 1.3k 0.7× 1.5k 1.1× 864 1.4× 216 0.7× 418 1.6× 27 2.6k

Countries citing papers authored by Nutan Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Nutan Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nutan Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Nutan Sharma. A scholar is included among the top collaborators of Nutan Sharma 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 Nutan Sharma. Nutan Sharma 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.
Dy-Hollins, Marisela, Kush Kapur, Anna K. Prohl, et al.. (2025). Globally Reduced Brain Volume in Rett Syndrome. Pediatric Neurology. 168. 60–66.
2.
Patra, Pratap Kumar, Aaqib Zaffar Banday, Adil Asghar, et al.. (2025). Early Atherosclerosis in Pediatric Systemic Lupus Erythematosus: A Systematic Review and Meta‐Analysis. International Journal of Rheumatic Diseases. 28(4). e70217–e70217.
3.
Gupta, Sameer, et al.. (2025). Blockchain in Health Care, Evolutionary or Revolutionary – An Evidence-Based Review. Journal of Pharmacy And Bioallied Sciences. 17(Suppl 1). S63–S65.
4.
Sharma, Nutan, et al.. (2024). NAFLD-associated hepatocellular carcinoma (HCC) – A compelling case for repositioning of existing mTORc1 inhibitors. Pharmacological Research. 208. 107375–107375. 4 indexed citations
5.
Dy-Hollins, Marisela, Lisa Osiecki, Daniel T. Lackland, et al.. (2024). The Challenge of Examining Social Determinants of Health in People Living With Tourette Syndrome. Pediatric Neurology. 155. 55–61. 5 indexed citations
6.
Parisi, Federico, Giulia Corniani, Paolo Bonato, et al.. (2024). Motor assessment of X-linked dystonia parkinsonism via machine-learning-based analysis of wearable sensor data. Scientific Reports. 14(1). 13229–13229. 2 indexed citations
7.
Stephen, Christopher D., et al.. (2023). Dystonias: Clinical Recognition and the Role of Additional Diagnostic Testing. Seminars in Neurology. 43(1). 17–34. 4 indexed citations
8.
Zaninotto, Ana Luiza, Kaila L. Stipancic, Bridget J. Perry, et al.. (2021). Speech and swallowing deficits in X-Linked Dystonia-Parkinsonism. Parkinsonism & Related Disorders. 89. 105–110. 1 indexed citations
9.
Stephen, Christopher D., David L. Perez, Lori B. Chibnik, & Nutan Sharma. (2021). Functional dystonia: A case‐control study and risk prediction algorithm. Annals of Clinical and Translational Neurology. 8(4). 732–748. 13 indexed citations
10.
Shinoda, Kenta, Dali Zong, Elsa Callén, et al.. (2021). The dystonia gene THAP1 controls DNA double-strand break repair choice. Molecular Cell. 81(12). 2611–2624.e10. 17 indexed citations
11.
Waugh, Jeff L., et al.. (2021). An MRI method for parcellating the human striatum into matrix and striosome compartments in vivo. NeuroImage. 246. 118714–118714. 10 indexed citations
12.
Perez, David L., et al.. (2020). Cautionary notes on diagnosing functional neurologic disorder as a neurologist-in-training. Neurology Clinical Practice. 10(6). 484–487. 11 indexed citations
13.
Pandey, Shivam Kumar, et al.. (2019). A Review on Dispersible Tablets: A Novel Drug Delivery System for Pedietrics and Geriatrics. International Journal of Trend in Scientific Research and Development.
14.
Blood, Anne J., John K. Kuster, Jeff L. Waugh, et al.. (2019). White Matter Changes in Cervical Dystonia Relate to Clinical Effectiveness of Botulinum Toxin Treatment. Frontiers in Neurology. 10. 265–265. 10 indexed citations
15.
Dávila, Eduardo, et al.. (2017). Translational effects and coding potential of an upstream open reading frame associated with DOPA Responsive Dystonia. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(6). 1171–1182. 5 indexed citations
16.
Gusmão, Claudio M. de, Tania Fuchs, Trisha Multhaupt‐Buell, et al.. (2016). Dystonia‐Causing Mutations as a Contribution to the Etiology of Spasmodic Dysphonia. Otolaryngology. 155(4). 624–628. 9 indexed citations
17.
Blood, Anne J., John K. Kuster, Namik Kirlić, et al.. (2012). Evidence for Altered Basal Ganglia-Brainstem Connections in Cervical Dystonia. PLoS ONE. 7(2). e31654–e31654. 56 indexed citations
18.
Zhao, Yu, Nutan Sharma, & Mark S. LeDoux. (2011). The DYT1 carrier state increases energy demand in the olivocerebellar network. Neuroscience. 177. 183–194. 28 indexed citations
19.
Jinnah, H. A., Ellen J. Hess, Mark S. LeDoux, et al.. (2005). Rodent models for dystonia research: Characteristics, evaluation, and utility. Movement Disorders. 20(3). 283–292. 62 indexed citations
20.
Schlossmacher, Michael G., Matthew P. Frosch, Wei Gai, et al.. (2002). Parkin Localizes to the Lewy Bodies of Parkinson Disease and Dementia with Lewy Bodies. American Journal Of Pathology. 160(5). 1655–1667. 255 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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