Ayush Agarwal
Impact in
-
- Peripheral Neuropathies and Disorders
-
- Stroke Rehabilitation and Recovery
Papers in
- Neurology 29
- Autoimmune Neurological Disorders and Treatments 8
- Peripheral Neuropathies and Disorders 8
- Neurological disorders and treatments 6
- Epidemiology 19
- Acute Ischemic Stroke Management 7
- Co-authors
- Venugopalan Y. Vishnu (33 shared papers)Achal Kumar Srivastava (35 shared papers)Divyani Garg (38 shared papers)M.V. Padma Srivastava (15 shared papers)Deepti Vibha (8 shared papers)Garima Shukla (2 shared papers)Ajay Garg (25 shared papers)Kameshwar Prasad (3 shared papers)
- Journals
- Neurology (5 papers)Parkinsonism & Related Disorders (4 papers)QJM (3 papers)Journal of Neuroimmunology (3 papers)Digestive Diseases and Sciences (3 papers)
- Partner nations
- IndiaUnited StatesTaiwan
In The Last Decade
Ayush Agarwal
66 papers receiving 327 citations
Peers
Comparison fields: 5 of 98
- Neurology 38
- Rehabilitation 29
- Neurology 63
- Complementary and alternative medicine 21
- Anesthesiology and Pain Medicine 14
Countries citing papers authored by Ayush Agarwal
This map shows the geographic impact of Ayush Agarwal'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 Ayush Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayush Agarwal more than expected).
Fields of papers citing papers by Ayush Agarwal
This network shows the impact of papers produced by Ayush Agarwal. 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 Ayush Agarwal. The network helps show where Ayush Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayush Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 35 | |
| 2 | 2022 | 21 | |
| 3 | 2022 | 17 | |
| 4 | 2003 | 17 | |
| 5 | 2006 | 16 | |
| 6 | 2023 | 16 | |
| 7 | 2024 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 11 | |
| 10 | 2024 | 10 | |
| 11 | 1982 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2002 | 5 | |
| 20 | 2024 | 5 |
About Ayush Agarwal
Ayush Agarwal is a scholar working on Neurology, Epidemiology, Molecular Biology, Physiology and Surgery, having authored 100 papers that have together received 335 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (9 papers), Autoimmune Neurological Disorders and Treatments (8 papers), Peripheral Neuropathies and Disorders (8 papers), Acute Ischemic Stroke Management (7 papers), Epilepsy research and treatment (7 papers), Neurological disorders and treatments (6 papers), Mitochondrial Function and Pathology (5 papers) and RNA regulation and disease (5 papers). The work is most often cited by research in Neurology (38 citations), Rehabilitation (29 citations), Neurology (63 citations), Complementary and alternative medicine (21 citations) and Anesthesiology and Pain Medicine (14 citations). Ayush Agarwal has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Venugopalan Y. Vishnu, Achal Kumar Srivastava, Divyani Garg, M.V. Padma Srivastava, Deepti Vibha, Garima Shukla, Ajay Garg, Kameshwar Prasad, Anu Gupta and Roopa Rajan. Their work appears in journals such as Neurology, Parkinsonism & Related Disorders, QJM, Journal of Neuroimmunology and Digestive Diseases and Sciences.
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.