Asit Kumar
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Traumatic Brain Injury and Neurovascular Disturbances
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Extracellular vesicles in disease 11
- RNA Interference and Gene Delivery 3
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- Neuroinflammation and Neurodegeneration Mechanisms 7
- Long-Term Effects of COVID-19 2
- Co-authors
- Bernd L. Fiebich (7 shared papers)Santosh Kumar (16 shared papers)Bogdan A. Stoica (2 shared papers)David J. Loane (2 shared papers)Harsharan S. Bhatia (3 shared papers)Gelareh Abulwerdi (2 shared papers)Alan I. Faden (2 shared papers)Sunitha Kodidela (12 shared papers)
- Journals
- Scientific Reports (3 papers)Viruses (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Journal of Neuroinflammation (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Asit Kumar
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 114
- Neurology 228
- Biological Psychiatry 53
- Cancer Research 144
- Virology 37
- Neurology 103
Countries citing papers authored by Asit Kumar
This map shows the geographic impact of Asit 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 Asit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asit Kumar more than expected).
Fields of papers citing papers by Asit Kumar
This network shows the impact of papers produced by Asit 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 Asit Kumar. The network helps show where Asit Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Asit 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 254 | |
| 2 | 2014 | 83 | |
| 3 | 2017 | 79 | |
| 4 | 2017 | 66 | |
| 5 | 2015 | 60 | |
| 6 | 2018 | 48 | |
| 7 | 2014 | 46 | |
| 8 | 2020 | 40 | |
| 9 | 2018 | 38 | |
| 10 | 2022 | 34 | |
| 11 | 2020 | 32 | |
| 12 | 2020 | 26 | |
| 13 | 2020 | 25 | |
| 14 | 2013 | 20 | |
| 15 | 2020 | 18 | |
| 16 | 2022 | 17 | |
| 17 | 2021 | 15 | |
| 18 | 2018 | 14 | |
| 19 | 2020 | 12 | |
| 20 | 2021 | 10 |
About Asit Kumar
Asit Kumar is a scholar working on Molecular Biology, Neurology, Infectious Diseases, Virology and Biomedical Engineering, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), HIV Research and Treatment (4 papers), RNA Interference and Gene Delivery (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (2 papers), Nigella sativa pharmacological applications (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Neurology (228 citations), Biological Psychiatry (53 citations), Cancer Research (144 citations), Virology (37 citations) and Neurology (103 citations). Asit Kumar has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Bernd L. Fiebich, Santosh Kumar, Bogdan A. Stoica, David J. Loane, Harsharan S. Bhatia, Gelareh Abulwerdi, Alan I. Faden, Sunitha Kodidela, Alok Kumar and Ravikanth Velagapudi. Their work appears in journals such as Scientific Reports, Viruses, Journal of Pharmacology and Experimental Therapeutics, Journal of Neuroinflammation and PLoS ONE.
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.