Anoop Narayanan

2.2k total citations · 1 hit paper
18 papers, 495 citations indexed

About

Anoop Narayanan is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Anoop Narayanan has authored 18 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Anoop Narayanan's work include RNA and protein synthesis mechanisms (5 papers), Mosquito-borne diseases and control (4 papers) and Bacterial Genetics and Biotechnology (4 papers). Anoop Narayanan is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Mosquito-borne diseases and control (4 papers) and Bacterial Genetics and Biotechnology (4 papers). Anoop Narayanan collaborates with scholars based in United States, India and Switzerland. Anoop Narayanan's co-authors include Dinesh Yernool, Joyce Jose, Sydney A. Majowicz, Katsuhiko Murakami, Carmine Varricchio, Carlo Ballatore, Andrea Brancale, M. Narwal, Ponmurugan Karuppiah and Lake N. Paul and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Anoop Narayanan

18 papers receiving 490 citations

Hit Papers

Identification of SARS-CoV-2 inhibitors targeting Mpro an... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anoop Narayanan United States 11 256 148 110 91 54 18 495
L. Shuvalova United States 15 377 1.5× 185 1.3× 71 0.6× 73 0.8× 80 1.5× 31 704
Subhomoi Borkotoky India 15 381 1.5× 139 0.9× 40 0.4× 102 1.1× 24 0.4× 28 681
Qingan Sun United States 9 280 1.1× 122 0.8× 54 0.5× 32 0.4× 93 1.7× 10 504
Fei X China 13 493 1.9× 405 2.7× 123 1.1× 248 2.7× 20 0.4× 28 949
Mariana T. Q. de Magalhães Brazil 16 465 1.8× 124 0.8× 36 0.3× 35 0.4× 43 0.8× 46 766
Eric Singleton United States 11 189 0.7× 81 0.5× 37 0.3× 36 0.4× 20 0.4× 13 352
Alvin S. Kalinda United States 8 197 0.8× 97 0.7× 75 0.7× 21 0.2× 57 1.1× 9 546
Gerd Prehna United States 16 507 2.0× 132 0.9× 223 2.0× 23 0.3× 92 1.7× 31 813
Abhimanyu K. Singh India 10 152 0.6× 88 0.6× 65 0.6× 46 0.5× 20 0.4× 35 456
Bishajit Sarkar Bangladesh 15 336 1.3× 161 1.1× 20 0.2× 52 0.6× 25 0.5× 37 565

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-authorship network of co-authors of Anoop Narayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Anoop Narayanan. A scholar is included among the top collaborators of Anoop Narayanan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anoop Narayanan. Anoop Narayanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Michita, Rafael Tomoya, Steven J. Bark, Deepak Kumar, et al.. (2025). Zika virus NS1 drives tunneling nanotube formation for mitochondrial transfer and stealth transmission in trophoblasts. Nature Communications. 16(1). 1803–1803. 4 indexed citations
2.
Narayanan, Anoop, et al.. (2024). Identification of a critical role for ZIKV capsid α3 in virus assembly and its genetic interaction with M protein. PLoS neglected tropical diseases. 18(1). e0011873–e0011873. 2 indexed citations
3.
Majowicz, Sydney A., Anoop Narayanan, Ibrahim M. Moustafa, et al.. (2023). Zika virus M protein latches and locks the E protein from transitioning to an immature state after prM cleavage. PubMed. 1(1). 4–4. 10 indexed citations
4.
Narayanan, Anoop, M. Narwal, Sydney A. Majowicz, et al.. (2022). Identification of SARS-CoV-2 inhibitors targeting Mpro and PLpro using in-cell-protease assay. Communications Biology. 5(1). 169–169. 151 indexed citations breakdown →
5.
Sharma, Monica, Anoop Narayanan, Shailly Tomar, et al.. (2021). Deciphering the enigma of missing DNA binding domain of LacI family transcription factors. Archives of Biochemistry and Biophysics. 713. 109060–109060. 5 indexed citations
6.
Ngo, Kiet, Jamie J. Arnold, Anoop Narayanan, et al.. (2021). A Chemical Strategy for Intracellular Arming of an Endogenous Broad-Spectrum Antiviral Nucleotide. Journal of Medicinal Chemistry. 64(20). 15429–15439. 6 indexed citations
7.
Narayanan, Anoop, et al.. (2021). Structure-based inhibitor design and repurposing clinical drugs to target SARS-CoV-2 proteases. Biochemical Society Transactions. 50(1). 151–165. 9 indexed citations
8.
Yao, Shun, Anoop Narayanan, Sydney A. Majowicz, Joyce Jose, & Marco Archetti. (2021). A synthetic defective interfering SARS-CoV-2. PeerJ. 9. e11686–e11686. 17 indexed citations
9.
Goetschius, Daniel J., Anoop Narayanan, Sydney A. Majowicz, et al.. (2020). Identification of a pocket factor that is critical to Zika virus assembly. Nature Communications. 11(1). 4953–4953. 33 indexed citations
10.
Narayanan, Anoop, Frank S. Vago, Kunpeng Li, et al.. (2018). Cryo-EM structure of Escherichia coli σ70 RNA polymerase and promoter DNA complex revealed a role of σ non-conserved region during the open complex formation. Journal of Biological Chemistry. 293(19). 7367–7375. 54 indexed citations
11.
Choudhury, Samrat Roy, Yi Cui, Anoop Narayanan, et al.. (2016). Optogenetic regulation of site-specific subtelomeric DNA methylation. PMC. 1 indexed citations
12.
Choudhury, Samrat Roy, Yi Cui, Anoop Narayanan, et al.. (2016). Optogenetic regulation of site-specific subtelomeric DNA-methylation. Oncotarget. 7(31). 50380–50391. 21 indexed citations
13.
Narayanan, Anoop, S. Kumar, A. E. Evrard, Lake N. Paul, & Dinesh Yernool. (2014). An asymmetric heterodomain interface stabilizes a response regulator–DNA complex. Nature Communications. 5(1). 3282–3282. 52 indexed citations
14.
Narayanan, Anoop, et al.. (2013). SCREENING SELECTION IDENTIFICATION PRODUCTION AND OPTIMIZATION OF BACTERIAL LIPASE FROM OIL SPILLED SOIL.. Asian Journal of Pharmaceutical and Clinical Research. 6(7). 62–67. 65 indexed citations
15.
Narayanan, Anoop, Lake N. Paul, Sakshi Tomar, et al.. (2012). Structure-Function Studies of DNA Binding Domain of Response Regulator KdpE Reveals Equal Affinity Interactions at DNA Half-Sites. PLoS ONE. 7(1). e30102–e30102. 20 indexed citations
16.
Narayanan, Anoop, et al.. (2012). Identification of the Dimer Interface of a Bacterial Ca2+/H+Antiporter. Biochemistry. 51(48). 9603–9611. 3 indexed citations
17.
Narayanan, Anoop, et al.. (2010). Restrained expression, a method to overproduce toxic membrane proteins by exploiting operator–repressor interactions. Protein Science. 20(1). 51–61. 30 indexed citations
18.

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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