Anoop Narayanan
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
-
- Computational Drug Discovery Methods
Papers in
-
- RNA and protein synthesis mechanisms 5
- Epigenetics and DNA Methylation 2
- Protein Structure and Dynamics 2
- Genetics 5
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Dinesh Yernool (9 shared papers)Joyce Jose (8 shared papers)Sydney A. Majowicz (4 shared papers)Katsuhiko Murakami (2 shared papers)Andrea Brancale (1 shared paper)M. Narwal (1 shared paper)Carlo Ballatore (1 shared paper)Carmine Varricchio (1 shared paper)
- Journals
- Nature Communications (3 papers)Biochemical Journal (1 paper)Archives of Biochemistry and Biophysics (1 paper)Protein Science (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Anoop Narayanan
18 papers receiving 490 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Infectious Diseases 148
- Computational Theory and Mathematics 91
- Structural Biology 8
- Molecular Medicine 26
- Genetics 110
Countries citing papers authored by Anoop Narayanan
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Identification of SARS-CoV-2 inhibitors targeting Mpro and PLpro using in-cell-protease assay Hit paper breakdown → | 2022 | 151 |
| 2 | SCREENING SELECTION IDENTIFICATION PRODUCTION AND OPTIMIZATION OF BACTERIAL LIPASE FROM OIL SPILLED SOIL. | 2013 | 65 |
| 3 | 2018 | 54 | |
| 4 | 2014 | 52 | |
| 5 | 2020 | 33 | |
| 6 | 2010 | 30 | |
| 7 | 2016 | 21 | |
| 8 | 2012 | 20 | |
| 9 | 2021 | 17 | |
| 10 | 2010 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2025 | 4 | |
| 16 | 2012 | 3 | |
| 17 | 2024 | 2 | |
| 18 | Optogenetic regulation of site-specific subtelomeric DNA methylation | 2016 | 1 |
About Anoop Narayanan
Anoop Narayanan is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Infectious Diseases and Organic Chemistry, having authored 18 papers that have together received 495 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Bacterial Genetics and Biotechnology (4 papers), Mosquito-borne diseases and control (4 papers), Computational Drug Discovery Methods (2 papers), Insect symbiosis and bacterial influences (2 papers), Epigenetics and DNA Methylation (2 papers), Protein Structure and Dynamics (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Infectious Diseases (148 citations), Computational Theory and Mathematics (91 citations), Structural Biology (8 citations), Molecular Medicine (26 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, Andrea Brancale, M. Narwal, Carlo Ballatore, Carmine Varricchio, Ponmurugan Karuppiah and Lake N. Paul. Their work appears in journals such as Nature Communications, Biochemical Journal, Archives of Biochemistry and Biophysics, Protein Science and Journal of Biological Chemistry.
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.