Anoop Narayanan

21 papers receiving 527 citations

Anoop Narayanan's Hit Papers

Identification of SARS-CoV-2 inhibitors targeting Mpro and PLpro using in-cell-protease assay 2022 · 160 citations
1600+1+2Years since publication50100150

Peers

Anoop Narayanan
Comparison fields: 5 of 96
  • Infectious Diseases 145
  • Structural Biology 8
  • Computational Theory and Mathematics 88
  • Molecular Medicine 25
  • Genetics 110
Replace Alvin S. Kalinda with:
Alvin S. Kalinda United States
Sarah C. Atkinson Australia
Rebecca Conners United Kingdom
Qingan Sun United States
Sylvain Biéler Switzerland
William R. Shadrick United States
Subhomoi Borkotoky India
Fei X China
L. Shuvalova United States
Erica J. Zheng United States
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Citations per field
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Citations per year

Countries citing papers authored by Anoop Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Anoop Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification of SARS-CoV-2 inhibitors targeting Mpro and PLpro using in-cell-protease assay
Hit paper breakdown →
2022160
2
SCREENING SELECTION IDENTIFICATION PRODUCTION AND OPTIMIZATION OF BACTERIAL LIPASE FROM OIL SPILLED SOIL.
201364
3 201858
4 201453
5 202035
6 201030
7 201622
8 201220
9 202117
10 201012
11 202310
12 20219
13 20129
14 20218
15 20258
16 20216
17
International Financial Services
20046
18 20123
19 20242
20
Optogenetic regulation of site-specific subtelomeric DNA methylation
20161

About Anoop Narayanan

Anoop Narayanan is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Infectious Diseases and Organic Chemistry, having authored 22 papers that have together received 534 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Mosquito-borne diseases and control (5 papers), Bacterial Genetics and Biotechnology (4 papers), Viral Infections and Vectors (3 papers), Virology and Viral Diseases (2 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Infectious Diseases (145 citations), Structural Biology (8 citations), Computational Theory and Mathematics (88 citations), Molecular Medicine (25 citations) and Genetics (110 citations). Anoop Narayanan has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Dinesh Yernool, Joyce Jose, Sydney A. Majowicz, Katsuhiko Murakami, Carlo Ballatore, Andrea Brancale, Carmine Varricchio, M. Narwal, Ponmurugan Karuppiah and Lake N. Paul. Their work appears in journals such as Nature Communications, Journal of Medicinal Chemistry, Archives of Biochemistry and Biophysics, PeerJ and PLoS neglected tropical diseases.

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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