Prithi Rajan

1.1k citations
21 papers · 954 · h-index 13

Impact in

Papers in

    • Pluripotent Stem Cells Research 4
    • CRISPR and Genetic Engineering 2
    • RNA regulation and disease 2
    • Cytokine Signaling Pathways and Interactions 6
    • Polyomavirus and related diseases 2

Prithi Rajan

21 papers receiving 934 citations

Peers

Prithi Rajan
Comparison fields: 5 of 75
  • Developmental Neuroscience 284
  • Cellular and Molecular Neuroscience 219
  • Oncology 259
  • Neurology 77
  • Molecular Biology 590
Replace Koji Oishi with:
Koji Oishi Japan
Emma Smith United Kingdom
Elizabeth A. Novotny United States
Steven C. Pruitt United States
D. Spencer Currle United States
Luca Tiberi Italy
Anton Novak Canada
Elizabeth E. Crouch United States
Sandrine Vitry France
Ying-Jiun J. Chen United States
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Citations per field
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Citations per year

Countries citing papers authored by Prithi Rajan

Since Specialization
Citations

This map shows the geographic impact of Prithi Rajan'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 Prithi Rajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prithi Rajan more than expected).

Fields of papers citing papers by Prithi Rajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prithi Rajan. 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 Prithi Rajan. The network helps show where Prithi Rajan may publish in the future.

Co-authors

The 25 scholars most cited alongside Prithi Rajan, 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 Prithi Rajan Line = papers co-authored together Prithi Rajan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998333
2 2003171
3 199486
4 200178
5 199643
6 199542
7 201038
8 199827
9 199523
10 199520
11 199619
12 201117
13 199112
14 200811
15 20118
16 20078
17 20065
18
Varicella zoster virus. Recent advances in management.
20015
19 20104
20
Blood basopenia as an indicator of ovulation.
19923

About Prithi Rajan

Prithi Rajan is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Genetics and Developmental Neuroscience, having authored 21 papers that have together received 954 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), Pluripotent Stem Cells Research (4 papers), Nerve injury and regeneration (2 papers), Virus-based gene therapy research (2 papers), CRISPR and Genetic Engineering (2 papers), RNA regulation and disease (2 papers), Polyomavirus and related diseases (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Developmental Neuroscience (284 citations), Cellular and Molecular Neuroscience (219 citations), Oncology (259 citations), Neurology (77 citations) and Molecular Biology (590 citations). Prithi Rajan has collaborated with scholars based in United States, India and Russia. Frequent co-authors include Ronald D.G. McKay, J. Stephen Fink, David M. Panchision, Laura F. Newell, Aviva J. Symes, Steven E. Hyman, Colin L. Stewart, Susan E. Lewis, Bayar Thimmapaya and Teruyuki Tanaka. Their work appears in journals such as Journal of Neuroscience, Journal of Virology, Current Stem Cell Research & Therapy, The Journal of Cell Biology and Brain Research.

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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