Pritika Narayan

1.8k citations
20 papers · 710 · h-index 16

Impact in

Papers in

Pritika Narayan

19 papers receiving 697 citations

Peers

Pritika Narayan
Comparison fields: 5 of 83
  • Neurology 126
  • Biological Psychiatry 29
  • Developmental Neuroscience 44
  • Cellular and Molecular Neuroscience 123
  • Aging 12
Replace Heinz von der Kammer with:
Heinz von der Kammer Germany
Sabine Liebscher Germany
Tamar Lordkipanidze Georgia
Ignacio Fernández‐Moncada Chile
Koki Fujimori Japan
P. Lorenzo Bozzelli United States
Yunju Jin United States
Wendou Yu United States
Akira Kuzuya Japan
Pritika Narayan relative to Heinz von der Kammer Germany Heinz von der Kammer's profile →
Citations per field
00.5×1.5×
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 2014105
2 2018102
3 200658
4 200652
5 200952
6 200747
7 202144
8 200736
9 200631
10 200829
11 200722
12 200722
13 201522
14 201722
15 201021
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 710 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 (126 citations), Biological Psychiatry (29 citations), Developmental Neuroscience (44 citations), Cellular and Molecular Neuroscience (123 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 Neuroscience, Journal of Visualized Experiments, Neurobiology of Disease, eLife and Journal of Biological Chemistry.

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.

Explore authors with similar magnitude of impact