Pritika Narayan

1.8k citations
20 papers · 733 · h-index 16

Impact in

Papers in

Pritika Narayan

19 papers receiving 719 citations

Peers

Pritika Narayan
Comparison fields: 5 of 83
  • Neurology 128
  • Biological Psychiatry 30
  • Developmental Neuroscience 44
  • Cellular and Molecular Neuroscience 125
  • Aging 12
Replace Heinz von der Kammer with:
Heinz von der Kammer Germany
Ignacio Fernández‐Moncada Chile
Tamar Lordkipanidze Georgia
P. Lorenzo Bozzelli United States
Niamh C. O’Sullivan Ireland
Soong Ho Kim United States
Sabine Liebscher Germany
Matthias Vandesquille France
Akira Kuzuya Japan
Pritika Narayan relative to Heinz von der Kammer Germany Heinz von der Kammer's profile →
Citations per field
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Heinz von der Kammer · 1×
Citations per year

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-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.

Border = papers with Pritika Narayan Line = papers co-authored together Pritika Narayan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2014115
2 2018106
3 200659
4 200653
5 200953
6 200747
7 202146
8 200736
9 200631
10 200829
11 201724
12 201023
13 200722
14 200722
15 201522
16 200817
17 201813
18 20209
19 20185
20
Huntington's disease: Understanding a mutation
20111

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 733 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Histone Deacetylase Inhibitors Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Adipose Tissue and Metabolism (4 papers), Genetic Neurodegenerative Diseases (3 papers), Ubiquitin and proteasome pathways (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Neurology (128 citations), Biological Psychiatry (30 citations), Developmental Neuroscience (44 citations), Cellular and Molecular Neuroscience (125 citations) and Aging (12 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, Michael Dragunow, Simon J. O’Carroll, Hannah M. Gibbons, Michelle Glass, Emma L. Scotter and Rachel Cameron. Their work appears in journals such as Neurobiology of Disease, Neuroscience, Journal of Visualized Experiments, Advances in experimental medicine and biology and SLAS DISCOVERY.

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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