Pritika Narayan

1.7k total citations
20 papers, 702 citations indexed

About

Pritika Narayan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Pritika Narayan has authored 20 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Physiology. Recurrent topics in Pritika Narayan's work include Epigenetics and DNA Methylation (5 papers), Histone Deacetylase Inhibitors Research (5 papers) and Adipose Tissue and Metabolism (4 papers). Pritika Narayan is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Histone Deacetylase Inhibitors Research (5 papers) and Adipose Tissue and Metabolism (4 papers). Pritika Narayan collaborates with scholars based in New Zealand, Australia and United States. Pritika Narayan's 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 and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Neuroscience.

In The Last Decade

Pritika Narayan

19 papers receiving 688 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pritika Narayan New Zealand 16 382 159 142 136 86 20 702
Britta Schürmann Germany 13 312 0.8× 183 1.2× 204 1.4× 91 0.7× 140 1.6× 15 790
Francis Castets France 18 741 1.9× 149 0.9× 274 1.9× 93 0.7× 57 0.7× 29 1.1k
Mark J. Zylka United States 9 388 1.0× 191 1.2× 165 1.2× 71 0.5× 144 1.7× 11 733
Sandrine De Seranno France 10 241 0.6× 183 1.2× 160 1.1× 72 0.5× 40 0.5× 10 686
Christine Laliberté Canada 16 435 1.1× 122 0.8× 278 2.0× 80 0.6× 130 1.5× 20 930
Elías Utreras Chile 18 379 1.0× 223 1.4× 185 1.3× 38 0.3× 73 0.8× 27 806
Miriam Fernández Spain 16 310 0.8× 67 0.4× 225 1.6× 98 0.7× 64 0.7× 29 726
Quan Lin United States 12 331 0.9× 156 1.0× 132 0.9× 87 0.6× 48 0.6× 20 620
Hea Jin Ryu South Korea 21 386 1.0× 69 0.4× 294 2.1× 218 1.6× 54 0.6× 29 912

Countries citing papers authored by Pritika Narayan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Pritika Narayan

This figure shows the co-authorship network connecting the top 25 collaborators of Pritika Narayan. A scholar is included among the top collaborators of Pritika Narayan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pritika Narayan. Pritika Narayan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sugrue, Victoria J, Joseph A. Zoller, Pritika Narayan, et al.. (2021). Castration delays epigenetic aging and feminizes DNA methylation at androgen-regulated loci. eLife. 10. 42 indexed citations
2.
Narayan, Pritika, Suzanne J. Reid, Emma L. Scotter, et al.. (2020). Inconsistencies in histone acetylation patterns among different HD model systems and HD post-mortem brains. Neurobiology of Disease. 146. 105092–105092. 9 indexed citations
3.
Rustenhoven, Justin, Amy M. Smith, Leon Smyth, et al.. (2018). PU.1 regulates Alzheimer’s disease-associated genes in primary human microglia. Molecular Neurodegeneration. 13(1). 44–44. 100 indexed citations
4.
Feisst, Vaughan, Louis Ranjard, Kerry M. Loomes, et al.. (2018). Visualization and Quantification of Mesenchymal Cell Adipogenic Differentiation Potential with a Lineage Specific Marker. Journal of Visualized Experiments. 13 indexed citations
5.
Feisst, Vaughan, et al.. (2018). Visualization and Quantification of Mesenchymal Cell Adipogenic Differentiation Potential with a Lineage Specific Marker. Journal of Visualized Experiments. 5 indexed citations
6.
Narayan, Pritika & Mike Dragunow. (2017). Alzheimer’s Disease and Histone Code Alterations. Advances in experimental medicine and biology. 978. 321–336. 22 indexed citations
7.
Narayan, Pritika, Claire L. Lill, Sheryl Feng, et al.. (2015). Assessing fibrinogen extravasation into Alzheimer's disease brain using high-content screening of brain tissue microarrays. Journal of Neuroscience Methods. 247. 41–49. 22 indexed citations
8.
Narayan, Pritika, Claire L. Lill, Richard L. M. Faull, Maurice A. Curtis, & Mike Dragunow. (2014). Increased acetyl and total histone levels in post-mortem Alzheimer's disease brain. Neurobiology of Disease. 74. 281–294. 104 indexed citations
9.
Graves, Amy Borenstein, et al.. (2011). Huntington's disease: Understanding a mutation. ResearchSpace (University of Auckland). 1 indexed citations
10.
Narayan, Pritika & Michael Dragunow. (2010). High content analysis of histone acetylation in human cells and tissues. Journal of Neuroscience Methods. 193(1). 54–61. 20 indexed citations
11.
Narayan, Pritika & Mike Dragunow. (2009). Pharmacology of epigenetics in brain disorders. British Journal of Pharmacology. 159(2). 285–303. 52 indexed citations
12.
Grimsey, Natasha L., Pritika Narayan, Mike Dragunow, & Michelle Glass. (2008). A NOVEL HIGH‐THROUGHPUT ASSAY FOR THE QUANTITATIVE ASSESSMENT OF RECEPTOR TRAFFICKING. Clinical and Experimental Pharmacology and Physiology. 35(11). 1377–1382. 28 indexed citations
13.
Scotter, Emma L., Pritika Narayan, Michelle Glass, & Mike Dragunow. (2008). High throughput quantification of mutant huntingtin aggregates. Journal of Neuroscience Methods. 171(1). 174–179. 17 indexed citations
14.
Dragunow, Mike, Rachel Cameron, Pritika Narayan, & Simon J. O’Carroll. (2007). Image-Based High-Throughput Quantification of Cellular Fat Accumulation. SLAS DISCOVERY. 12(7). 999–1005. 22 indexed citations
15.
Narayan, Pritika, Hannah M. Gibbons, Edward Mee, Richard L. M. Faull, & Michael Dragunow. (2007). High throughput quantification of cells with complex morphology in mixed cultures. Journal of Neuroscience Methods. 164(2). 339–349. 22 indexed citations
16.
Lim, Joanne, Hannah M. Gibbons, Simon J. O’Carroll, et al.. (2007). Extracellular signal-regulated kinase involvement in human astrocyte migration. Brain Research. 1164. 1–13. 36 indexed citations
17.
Gibbons, Hannah M., Stephanie M. Hughes, Willeke van Roon‐Mom, et al.. (2007). Cellular composition of human glial cultures from adult biopsy brain tissue. Journal of Neuroscience Methods. 166(1). 89–98. 45 indexed citations
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20.
Dragunow, Mike, J. M. Greenwood, Rachel Cameron, et al.. (2006). Valproic acid induces caspase 3-mediated apoptosis in microglial cells. Neuroscience. 140(4). 1149–1156. 59 indexed citations

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.

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