Saloni Sharma
Impact in
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Botulinum Toxin and Related Neurological Disorders
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- Balance, Gait, and Falls Prevention
Papers in
- Neurology 14
- Parkinson's Disease Mechanisms and Treatments 14
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- Neural dynamics and brain function 8
- Face Recognition and Perception 7
- Visual perception and processing mechanisms 6
- Co-authors
- E. Ray DorseyChristopher G. TarolliJamie AdamsKarthik DineshGaurav SharmaMulin XiongNirav ShethAlexander J. Aranyosi
- Journals
- NeuroImage (4 papers)Neurology (3 papers)Journal of Vision (3 papers)PM&R (2 papers)Journal of Cognitive Neuroscience (2 papers)
- Partner nations
- United StatesIndiaBelgium
In The Last Decade
Saloni Sharma
59 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Neurology 2.1k
- Physical Therapy, Sports Therapy and Rehabilitation 430
- Psychiatry and Mental health 571
- Cognitive Neuroscience 689
- Cellular and Molecular Neuroscience 571
Countries citing papers authored by Saloni Sharma
This map shows the geographic impact of Saloni 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 Saloni Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saloni Sharma more than expected).
Fields of papers citing papers by Saloni Sharma
This network shows the impact of papers produced by Saloni 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 Saloni Sharma. The network helps show where Saloni Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Saloni Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 46 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 3 | |
| 15 | 2017 | 26 | |
| 16 | 2015 | 20 | |
| 17 | 2015 | 1 | |
| 18 | 2006 | 45 | |
| 19 | 2004 | 48 | |
| 20 | 1998 | 13 |
About Saloni Sharma
Saloni Sharma is a scholar working on Neurology, Cognitive Neuroscience, Anesthesiology and Pain Medicine, Pharmacology and Energy Engineering and Power Technology, having authored 65 papers that have together received 3.6k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (14 papers), Neural dynamics and brain function (8 papers), Face Recognition and Perception (7 papers), Visual perception and processing mechanisms (6 papers), Mobile Ad Hoc Networks (5 papers), Opportunistic and Delay-Tolerant Networks (5 papers), Action Observation and Synchronization (4 papers) and Vehicular Ad Hoc Networks (VANETs) (4 papers). The work is most often cited by research in Neurology (2.1k citations), Physical Therapy, Sports Therapy and Rehabilitation (430 citations), Psychiatry and Mental health (571 citations), Cognitive Neuroscience (689 citations) and Cellular and Molecular Neuroscience (571 citations). Saloni Sharma has collaborated with scholars based in United States, India and Belgium. Frequent co-authors include E. Ray Dorsey, Christopher G. Tarolli, Jamie Adams, Karthik Dinesh, Gaurav Sharma, Mulin Xiong, Nirav Sheth, Alexander J. Aranyosi, Kevin Biglan and William Zhu. Their work appears in journals such as NeuroImage, Neurology, Journal of Vision, PM&R and Journal of Cognitive Neuroscience.
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.