Pritika Narayan
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Epigenetics and DNA Methylation 5
- Histone Deacetylase Inhibitors Research 5
-
- Genetic Neurodegenerative Diseases 3
- Nuclear Receptors and Signaling 2
- Co-authors
- Mike Dragunow (12 shared papers)Richard L. M. Faull (8 shared papers)Maurice A. Curtis (3 shared papers)Claire L. Lill (2 shared papers)Simon J. O’Carroll (4 shared papers)Michael Dragunow (5 shared papers)Hannah M. Gibbons (4 shared papers)Michelle Glass (4 shared papers)
- Journals
- Neuroscience (2 papers)Journal of Visualized Experiments (2 papers)Neurobiology of Disease (2 papers)SLAS DISCOVERY (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Pritika Narayan
19 papers receiving 688 citations
Peers
Comparison fields: 5 of 86
- Neurology 136
- Biological Psychiatry 29
- Developmental Neuroscience 46
- Cellular and Molecular Neuroscience 142
- Biophysics 40
Countries citing papers authored by Pritika Narayan
This map shows the geographic impact of Pritika Narayan'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 Pritika Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pritika Narayan more than expected).
Fields of papers citing papers by Pritika Narayan
This network shows the impact of papers produced by Pritika Narayan. 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 Pritika Narayan. The network helps show where Pritika Narayan may publish in the future.
Co-authors
The 25 scholars most cited alongside Pritika Narayan, 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 | 2014 | 104 | |
| 2 | 2018 | 100 | |
| 3 | 2006 | 59 | |
| 4 | 2006 | 52 | |
| 5 | 2009 | 52 | |
| 6 | 2007 | 45 | |
| 7 | 2021 | 42 | |
| 8 | 2007 | 36 | |
| 9 | 2006 | 31 | |
| 10 | 2008 | 28 | |
| 11 | 2007 | 22 | |
| 12 | 2007 | 22 | |
| 13 | 2015 | 22 | |
| 14 | 2017 | 22 | |
| 15 | 2010 | 20 | |
| 16 | 2008 | 17 | |
| 17 | 2018 | 13 | |
| 18 | 2020 | 9 | |
| 19 | 2018 | 5 | |
| 20 | Huntington's disease: Understanding a mutation | 2011 | 1 |
About Pritika Narayan
Pritika Narayan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Neurology and Pharmacology, having authored 20 papers that have together received 702 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Histone Deacetylase Inhibitors Research (5 papers), Adipose Tissue and Metabolism (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Genetic Neurodegenerative Diseases (3 papers), Cell Image Analysis Techniques (2 papers), Alzheimer's disease research and treatments (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Neurology (136 citations), Biological Psychiatry (29 citations), Developmental Neuroscience (46 citations), Cellular and Molecular Neuroscience (142 citations) and Biophysics (40 citations). Pritika Narayan has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Mike Dragunow, Richard L. M. Faull, Maurice A. Curtis, Claire L. Lill, Simon J. O’Carroll, Michael Dragunow, Hannah M. Gibbons, Michelle Glass, Emma L. Scotter and Rachel Cameron. Their work appears in journals such as Neuroscience, Journal of Visualized Experiments, Neurobiology of Disease, SLAS DISCOVERY and Advances in experimental medicine and biology.
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.