Prithi Rajan

1.1k citations
25 papers · 1.0k · h-index 13

Impact in

Papers in

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

Prithi Rajan

25 papers receiving 977 citations

Peers

Prithi Rajan
Comparison fields: 5 of 84
  • Developmental Neuroscience 296
  • Cellular and Molecular Neuroscience 224
  • Oncology 261
  • Neurology 74
  • Molecular Biology 601
Replace Koji Oishi with:
Koji Oishi Japan
Emma Smith United Kingdom
D. Spencer Currle United States
Steven C. Pruitt United States
Shalom Guy Slutsky Israel
Luca Tiberi Italy
Alexandra Chicheportiche France
Jennifer Ziskin United States
Konstantin Adamsky Israel
Jonathan H. Hecht United States
Prithi Rajan relative to Koji Oishi Japan Koji Oishi's profile →
Citations per field
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Koji Oishi · 1×
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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998356
2 2003181
3 199488
4 200180
5 199645
6 199543
7 201039
8 199827
9 199525
10 199620
11 199520
12 201118
13 199112
14 200810
15 19939
16 20118
17 20078
18 20067
19
Varicella zoster virus. Recent advances in management.
20015
20 20104

About Prithi Rajan

Prithi Rajan is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Genetics and Physiology, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), CRISPR and Genetic Engineering (4 papers), Virus-based gene therapy research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Polyomavirus and related diseases (2 papers), RNA Interference and Gene Delivery (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Developmental Neuroscience (296 citations), Cellular and Molecular Neuroscience (224 citations), Oncology (261 citations), Neurology (74 citations) and Molecular Biology (601 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, Laura F. Newell, David M. Panchision, Aviva J. Symes, Steven E. Hyman, Susan E. Lewis, Colin L. Stewart, Bayar Thimmapaya and Teruyuki Tanaka. Their work appears in journals such as Journal of Virology, Journal of Neuroscience, Brain Research, Molecular Medicine and Virology.

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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