Nagarjun Vijay

511 citations
29 papers · 314 · h-index 10

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • Genetic diversity and population structure
    • Evolution and Genetic Dynamics
    • Genetic and phenotypic traits in livestock

Papers in

    • Genetic diversity and population structure 9
    • Genetic and phenotypic traits in livestock 3
    • Animal Genetics and Reproduction 2
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
    • Genomics and Phylogenetic Studies 8
    • Mitochondrial Function and Pathology 2

Nagarjun Vijay

26 papers receiving 312 citations

Peers

Nagarjun Vijay
Comparison fields: 5 of 72
  • Virology 54
  • Genetics 104
  • Ecological Modeling 12
  • Cancer Research 30
  • Molecular Biology 129
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Citations per field
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Citations per year

Countries citing papers authored by Nagarjun Vijay

Since Specialization
Citations

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

Fields of papers citing papers by Nagarjun Vijay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200855
2 201348
3 202024
4 201823
5 201819
6 202319
7 201917
8 202117
9 202014
10 201911
11 202110
12 20238
13 20207
14 20216
15 20216
16 20235
17 20205
18 20224
19 20223
20 20243

About Nagarjun Vijay

Nagarjun Vijay is a scholar working on Genetics, Molecular Biology, Virology, Ecology and Immunology, having authored 29 papers that have together received 314 indexed citations. Recurring topics across this work include Genetic diversity and population structure (9 papers), Genomics and Phylogenetic Studies (8 papers), HIV Research and Treatment (3 papers), Genetic and phenotypic traits in livestock (3 papers), Animal Genetics and Reproduction (2 papers), Plant Virus Research Studies (2 papers), Mitochondrial Function and Pathology (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). The work is most often cited by research in Virology (54 citations), Genetics (104 citations), Ecological Modeling (12 citations), Cancer Research (30 citations) and Molecular Biology (129 citations). Nagarjun Vijay has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Alan S. Perelson, Narendra M. Dixit, Vineet K. Sharma, Parul Mittal, Sanjeev Shukla, Rituja Saxena, Sathiya Pandi Narayanan, Henrik Lantz, Evan Mauceli and Jennifer R. S. Meadows. Their work appears in journals such as Frontiers in Ecology and Evolution, Frontiers in Genetics, Scientific Reports, Immunogenetics and Journal of Molecular Evolution.

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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