Pragya Komal
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 6
- Genetic Neurodegenerative Diseases 4
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- Nicotinic Acetylcholine Receptors Study 6
- Receptor Mechanisms and Signaling 4
- Co-authors
- Anurag Gautam (7 shared papers)Raad Nashmi (7 shared papers)Shuvadeep Maity (4 shared papers)Gareth Evans (2 shared papers)Prabhat Gautam (2 shared papers)Vaishali Kumar (1 shared paper)David Stellwagen (3 shared papers)Ashutosh Sharma (1 shared paper)
In The Last Decade
Pragya Komal
22 papers receiving 335 citations
Peers
Comparison fields: 5 of 77
- Biological Psychiatry 35
- Neurology 42
- Cellular and Molecular Neuroscience 88
- Developmental Neuroscience 13
- Behavioral Neuroscience 10
Countries citing papers authored by Pragya Komal
This map shows the geographic impact of Pragya Komal'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 Pragya Komal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pragya Komal more than expected).
Fields of papers citing papers by Pragya Komal
This network shows the impact of papers produced by Pragya Komal. 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 Pragya Komal. The network helps show where Pragya Komal may publish in the future.
Co-authors
The 24 scholars most cited alongside Pragya Komal, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 48 | |
| 2 | 2021 | 30 | |
| 3 | 2013 | 29 | |
| 4 | 2021 | 28 | |
| 5 | 2019 | 24 | |
| 6 | 2013 | 21 | |
| 7 | 2024 | 19 | |
| 8 | 2018 | 19 | |
| 9 | 2015 | 18 | |
| 10 | 2016 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2022 | 13 | |
| 14 | 2011 | 11 | |
| 15 | 2024 | 8 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2025 | 2 |
About Pragya Komal
Pragya Komal is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 22 papers that have together received 339 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Nicotinic Acetylcholine Receptors Study (6 papers), Genetic Neurodegenerative Diseases (4 papers), Receptor Mechanisms and Signaling (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Lanthanide and Transition Metal Complexes (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Atomic and Subatomic Physics Research (2 papers). The work is most often cited by research in Biological Psychiatry (35 citations), Neurology (42 citations), Cellular and Molecular Neuroscience (88 citations), Developmental Neuroscience (13 citations) and Behavioral Neuroscience (10 citations). Pragya Komal has collaborated with scholars based in India, Canada and Hong Kong. Frequent co-authors include Anurag Gautam, Raad Nashmi, Shuvadeep Maity, Gareth Evans, Prabhat Gautam, Vaishali Kumar, David Stellwagen, Ashutosh Sharma, Jae Pil Jung and Christopher J. Nelson. Their work appears in journals such as Journal of Neuroscience, Molecular Neurobiology, Coordination Chemistry Reviews, Neuroscience and International Journal of Molecular 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.