Devi Rajan

1.8k citations
32 papers · 938 indexed · h-index 16

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Enzyme Catalysis and Immobilization 6
    • Microbial Metabolic Engineering and Bioproduction 4
    • Respiratory viral infections research 5

Devi Rajan

31 papers receiving 928 citations

Peers

Devi Rajan
Comparison fields: 5 of 107
  • Virology 268
  • Genetics 201
  • Infectious Diseases 171
  • Immunology 194
  • Biomaterials 104
Replace Richard Le Naour with:
Richard Le Naour France
Saman Yasamineh Iran
Christine D. Palmer United States
Omid Gholizadeh Iran
Iram Khan United States
Weimin Nie China
Wasim Abbas France
Jacque Mitchen United States
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Citations per field
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Citations per year

Countries citing papers authored by Devi Rajan

Since Specialization
Citations

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

Fields of papers citing papers by Devi Rajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018139
2 200795
3 202182
4 201068
5 201866
6 201966
7 201752
8 201847
9 200738
10 202034
11 200732
12 200631
13 201426
14 202019
15 201318
16 202217
17 201814
18 200513
19 201913
20 201012

About Devi Rajan

Devi Rajan is a scholar working on Molecular Biology, Epidemiology, Genetics, Immunology and Virology, having authored 32 papers that have together received 938 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (8 papers), HIV Research and Treatment (7 papers), Enzyme Catalysis and Immobilization (6 papers), Respiratory viral infections research (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Immune Cell Function and Interaction (4 papers), Biofuel production and bioconversion (4 papers) and HIV/AIDS drug development and treatment (4 papers). The work is most often cited by research in Virology (268 citations), Genetics (201 citations), Infectious Diseases (171 citations), Immunology (194 citations) and Biomaterials (104 citations). Devi Rajan has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Frank Kirchhoff, K. Madhavan Nampoothiri, Raghavan Chinnadurai, Michael Schindler, Jacques Galipeau, Larry J. Anderson, Dalia Arafat, Greg Gibson, Anke Specht and Jan Münch. Their work appears in journals such as Stem Cells, Journal of Virology, Retrovirology, Bioresource Technology 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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