Prashant Rai
Impact in
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- Long-Term Effects of COVID-19
- Peripheral Neuropathies and Disorders
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- Epilepsy research and treatment
Papers in
- Neurology 11
- Long-Term Effects of COVID-19 5
- Peripheral Neuropathies and Disorders 3
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- Epilepsy research and treatment 3
- Co-authors
- Samden D. Lhatoo (1 shared paper)Xiang Fang (4 shared papers)Xiang Fang (1 shared paper)Licong Cui (1 shared paper)Gaurav Garg (1 shared paper)Glenn Jocher (1 shared paper)Changyu Liu (1 shared paper)Adam Hogan (1 shared paper)
- Journals
- Neurology (3 papers)Multiple Sclerosis and Related Disorders (1 paper)PROTOPLASMA (1 paper)Epilepsy & Behavior (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- United StatesIndiaPakistan
In The Last Decade
Prashant Rai
24 papers receiving 171 citations
Peers
Comparison fields: 5 of 86
- Neurology 50
- Psychiatry and Mental health 24
- Developmental Neuroscience 6
- Genetics 14
- Pathology and Forensic Medicine 22
Countries citing papers authored by Prashant Rai
This map shows the geographic impact of Prashant Rai'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 Prashant Rai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Rai more than expected).
Fields of papers citing papers by Prashant Rai
This network shows the impact of papers produced by Prashant Rai. 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 Prashant Rai. The network helps show where Prashant Rai may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashant Rai, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 34 | |
| 2 | 2020 | 34 | |
| 3 | 2020 | 14 | |
| 4 | 2020 | 13 | |
| 5 | 1989 | 10 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2020 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2018 | 3 | |
| 14 | 2022 | 3 | |
| 15 | Chronic Inflammatory Demyelinating Polyradiculoneuropathy | 2021 | 2 |
| 16 | 2021 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2016 | 2 |
About Prashant Rai
Prashant Rai is a scholar working on Neurology, Psychiatry and Mental health, Infectious Diseases, Plant Science and Pathology and Forensic Medicine, having authored 27 papers that have together received 174 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (5 papers), Epilepsy research and treatment (3 papers), Peripheral Neuropathies and Disorders (3 papers), Infectious Encephalopathies and Encephalitis (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Polyomavirus and related diseases (2 papers), Glioma Diagnosis and Treatment (2 papers) and Hereditary Neurological Disorders (1 paper). The work is most often cited by research in Neurology (50 citations), Psychiatry and Mental health (24 citations), Developmental Neuroscience (6 citations), Genetics (14 citations) and Pathology and Forensic Medicine (22 citations). Prashant Rai has collaborated with scholars based in United States, India and Pakistan. Frequent co-authors include Samden D. Lhatoo, Xiang Fang, Xiang Fang, Licong Cui, Gaurav Garg, Glenn Jocher, Changyu Liu, Adam Hogan, Guo‐Qiang Zhang and Satya S. Sahoo. Their work appears in journals such as Neurology, Multiple Sclerosis and Related Disorders, PROTOPLASMA, Epilepsy & Behavior and Journal of Biomedical Informatics.
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.