Kushal Kumar
Impact in
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- Tryptophan and brain disorders
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Phosphodiesterase function and regulation 2
- Mitochondrial Function and Pathology 1
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- Neuroscience and Neuropharmacology Research 4
- Genetic Neurodegenerative Diseases 1
- Co-authors
- Rahul Deshmukh (6 shared papers)Sorabh Sharma (3 shared papers)Puneet Kumar (1 shared paper)Pyare Lal Sharma (2 shared papers)Sunil Kumar Hota (4 shared papers)Kalpana Barhwal (3 shared papers)Tapas Chandra Nag (1 shared paper)Bhuvnesh Kumar (1 shared paper)
- Journals
- European Journal of Pharmacology (2 papers)Neurobiology of Learning and Memory (1 paper)Behavioural Pharmacology (1 paper)Neuroscience (1 paper)Journal of Ethnopharmacology (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Kushal Kumar
12 papers receiving 433 citations
Peers
Comparison fields: 5 of 83
- Biological Psychiatry 27
- Neurology 50
- Cellular and Molecular Neuroscience 105
- Pharmacology 75
- Complementary and alternative medicine 31
Countries citing papers authored by Kushal Kumar
This map shows the geographic impact of Kushal 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 Kushal Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kushal Kumar more than expected).
Fields of papers citing papers by Kushal Kumar
This network shows the impact of papers produced by Kushal 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 Kushal Kumar. The network helps show where Kushal Kumar may publish in the future.
Co-authors
The 22 scholars most cited alongside Kushal 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 120 | |
| 2 | 2013 | 105 | |
| 3 | 2016 | 43 | |
| 4 | 2013 | 40 | |
| 5 | 2019 | 36 | |
| 6 | 2013 | 28 | |
| 7 | 2013 | 20 | |
| 8 | 2016 | 16 | |
| 9 | 2017 | 15 | |
| 10 | 2017 | 10 | |
| 11 | 2015 | 5 | |
| 12 | Role of hippocampal GABAergic interneurons in learning and memory | 2018 | 1 |
About Kushal Kumar
Kushal Kumar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Complementary and alternative medicine and Physiology, having authored 12 papers that have together received 439 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Alzheimer's disease research and treatments (2 papers), Phosphodiesterase function and regulation (2 papers), Tendon Structure and Treatment (1 paper), Mitochondrial Function and Pathology (1 paper), Adenosine and Purinergic Signaling (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Biological Psychiatry (27 citations), Neurology (50 citations), Cellular and Molecular Neuroscience (105 citations), Pharmacology (75 citations) and Complementary and alternative medicine (31 citations). Kushal Kumar has collaborated with scholars based in India and United States. Frequent co-authors include Rahul Deshmukh, Sorabh Sharma, Puneet Kumar, Pyare Lal Sharma, Sunil Kumar Hota, Kalpana Barhwal, Tapas Chandra Nag, Bhuvnesh Kumar, Eupa Ray and Ankur Sharma. Their work appears in journals such as European Journal of Pharmacology, Neurobiology of Learning and Memory, Behavioural Pharmacology, Neuroscience and Journal of Ethnopharmacology.
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.