Amit Kumar
Impact in
- Neurology top 10%
- Intracerebral and Subarachnoid Hemorrhage Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 10%
Papers in
- Co-authors
- Kameshwar Prasad (36 shared papers)Shubham Misra (29 shared papers)Pradeep Kumar (24 shared papers)Awadh Kishor Pandit (13 shared papers)Kamalesh Chakravarty (12 shared papers)Ram Sagar (18 shared papers)Arun Kumar Yadav (7 shared papers)Arun Kumar Yadav (3 shared papers)
- Journals
- Neurological Research (6 papers)Neurological Sciences (2 papers)BMC Neurology (2 papers)Acta Neurologica Scandinavica (2 papers)Journal of Stroke and Cerebrovascular Diseases (2 papers)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Amit Kumar
81 papers receiving 1.5k citations
Amit Kumar's Hit Papers
Peers
Comparison fields: 5 of 115
- Neurology 126
- Neurology 161
- Developmental Neuroscience 36
- Genetics 86
- Epidemiology 227
Countries citing papers authored by Amit Kumar
This map shows the geographic impact of Amit Kumar'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 Amit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Kumar more than expected).
Fields of papers citing papers by Amit Kumar
This network shows the impact of papers produced by Amit Kumar. 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 Amit Kumar. The network helps show where Amit Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Kumar, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Stroke genetics informs drug discovery and risk prediction across ancestries Hit paper breakdown → | 2022 | 355 |
| 2 | 2021 | 91 | |
| 3 | 2020 | 84 | |
| 4 | Autologous intravenous bone marrow mononuclear cell therapy for patients with subacute ischaemic stroke: a pilot study. | 2012 | 70 |
| 5 | 2015 | 59 | |
| 6 | 2018 | 38 | |
| 7 | 2020 | 38 | |
| 8 | 2003 | 32 | |
| 9 | 2019 | 31 | |
| 10 | 2016 | 28 | |
| 11 | 2015 | 28 | |
| 12 | 1986 | 28 | |
| 13 | 2013 | 28 | |
| 14 | 2012 | 27 | |
| 15 | 2016 | 21 | |
| 16 | 2016 | 21 | |
| 17 | 1995 | 21 | |
| 18 | 2015 | 20 | |
| 19 | 2011 | 19 | |
| 20 | 2016 | 19 |
About Amit Kumar
Amit Kumar is a scholar working on Neurology, Surgery, Cardiology and Cardiovascular Medicine, Rheumatology and Genetics, having authored 87 papers that have together received 1.5k indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (8 papers), Lipoproteins and Cardiovascular Health (6 papers), Acute Ischemic Stroke Management (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Bacterial Infections and Vaccines (3 papers), Systemic Lupus Erythematosus Research (3 papers), Renin-Angiotensin System Studies (3 papers) and S100 Proteins and Annexins (3 papers). The work is most often cited by research in Neurology (126 citations), Neurology (161 citations), Developmental Neuroscience (36 citations), Genetics (86 citations) and Epidemiology (227 citations). Amit Kumar has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Kameshwar Prasad, Shubham Misra, Pradeep Kumar, Awadh Kishor Pandit, Kamalesh Chakravarty, Ram Sagar, Arun Kumar Yadav, Arun Kumar Yadav, Manjari Tripathi and Achal Kumar Srivastava. Their work appears in journals such as Neurological Research, Neurological Sciences, BMC Neurology, Acta Neurologica Scandinavica and Journal of Stroke and Cerebrovascular Diseases.
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.