Vishad Sukul
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- Pain Management and Treatment 11
- Neurology top 10%
- Neurological disorders and treatments 11
- Parkinson's Disease Mechanisms and Treatments 8
- Botulinum Toxin and Related Neurological Disorders 6
- Neurology top 10%
- Neurological disorders and treatments 11
- Parkinson's Disease Mechanisms and Treatments 8
- Botulinum Toxin and Related Neurological Disorders 6
- Pharmacology top 10%
- Musculoskeletal pain and rehabilitation 8
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- Neuroscience and Neural Engineering 6
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- Pain Mechanisms and Treatments 4
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- EEG and Brain-Computer Interfaces 4
- Co-authors
- Chengzhong CuiFrieder JäkleVincent NguyenYang QinLeopold ArkoDaniel ChangBong Soo KimApril A. Benasich
- Journals
- SHILAP Revista de lepidopterología (1 paper)Macromolecules (1 paper)Brain Research (1 paper)
- Partner nations
- United StatesUnited KingdomEgypt
In The Last Decade
Vishad Sukul
38 papers receiving 678 citations
Peers
Comparison fields: 5 of 80
- Anesthesiology and Pain Medicine 121
- Neurology 176
- Neurology 68
- Pharmacology 116
- Cellular and Molecular Neuroscience 96
Countries citing papers authored by Vishad Sukul
This map shows the geographic impact of Vishad Sukul'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 Vishad Sukul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vishad Sukul more than expected).
Fields of papers citing papers by Vishad Sukul
This network shows the impact of papers produced by Vishad Sukul. 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 Vishad Sukul. The network helps show where Vishad Sukul may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vishad Sukul, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 39 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 8 | |
| 16 | 2018 | 15 | |
| 17 | 2018 | 11 | |
| 18 | 2018 | 4 | |
| 19 | 2014 | 119 | |
| 20 | 2011 | 9 |
About Vishad Sukul
Vishad Sukul is a scholar working on Anesthesiology and Pain Medicine, Neurology and Neurology, having authored 39 papers that have together received 689 indexed citations. Recurring topics across this work include Pain Management and Treatment (11 papers), Neurological disorders and treatments (11 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Musculoskeletal pain and rehabilitation (8 papers), Botulinum Toxin and Related Neurological Disorders (6 papers), Neuroscience and Neural Engineering (6 papers), Pain Mechanisms and Treatments (4 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (121 citations), Neurology (176 citations) and Neurology (68 citations). Vishad Sukul has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include Chengzhong Cui, Frieder Jäkle, Vincent Nguyen, Yang Qin, Leopold Arko, Daniel Chang, Bong Soo Kim, April A. Benasich, Wen‐Ching Liu and Kevin G. Guise. Their work appears in journals such as SHILAP Revista de lepidopterología, Macromolecules and Brain Research.
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.