Manoj S. Nair
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research 19
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 detection and testing 6
- Viral gastroenteritis research and epidemiology 4
- Animal Science and Zoology top 5%
- Modeling and Simulation top 5%
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis 8
- Biotechnology top 5%
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- Synthetic Organic Chemistry Methods 6
- Chemical synthesis and alkaloids 5
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- Phytochemistry and Biological Activities 4
Manoj S. Nair
76 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Infectious Diseases 1.2k
- Animal Science and Zoology 170
- Modeling and Simulation 70
- Pharmacology 241
- Biotechnology 122
Countries citing papers authored by Manoj S. Nair
This map shows the geographic impact of Manoj S. Nair'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 Manoj S. Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manoj S. Nair more than expected).
Fields of papers citing papers by Manoj S. Nair
This network shows the impact of papers produced by Manoj S. Nair. 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 Manoj S. Nair. The network helps show where Manoj S. Nair may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manoj S. Nair, 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 | 2025 | 2 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 20 | |
| 4 | 2023 | 11 | |
| 5 | Antigenicity and receptor affinity of SARS-CoV-2 BA.2.86 spikebreakdown → | 2023 | 100 |
| 6 | 2023 | 12 | |
| 7 | Antibody evasion by SARS-CoV-2 Omicron subvariants BA.2.12.1, BA.4 and BA.5breakdown → | 2022 | 433 |
| 8 | 2021 | 8 | |
| 9 | 2021 | 41 | |
| 10 | 2021 | 42 | |
| 11 | 2021 | 80 | |
| 12 | 2021 | 79 | |
| 13 | Increased resistance of SARS-CoV-2 variant P.1 to antibody neutralizationbreakdown → | 2021 | 390 |
| 14 | COMPARATIVE EVALUATION OF COLOUR AND ELEMENTAL COMPOSITION OF ENAMEL BLEACHED WITH H2O2 AND H2O2 ASSISTED BY PLASMA MICROJET:– AN IN–VITRO STUDY | 2016 | 1 |
| 15 | 2011 | 5 | |
| 16 | 2008 | 26 | |
| 17 | Constituents of the brown alga Padina tetrastromatica (Hauck)-II | 1996 | 11 |
| 18 | 1993 | 50 | |
| 19 | Metabolites from Pyrenomycetes VIII. Identification of three metabolites from Nectria lucida as antibiotic triprenyl phenols. | 1977 | 6 |
| 20 | 1976 | 12 |
About Manoj S. Nair
Manoj S. Nair is a scholar working on Toxicology, Infectious Diseases and Pharmacology, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (19 papers), Microbial Natural Products and Biosynthesis (8 papers), COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 detection and testing (6 papers), Synthetic Organic Chemistry Methods (6 papers), Chemical synthesis and alkaloids (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and Phytochemistry and Biological Activities (4 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Animal Science and Zoology (170 citations) and Modeling and Simulation (70 citations). Manoj S. Nair has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Yaoxing Huang, David D. Ho, Lihong Liu, Marjorie Anchel, Jian Yu, Maple Wang, Pengfei Wang, Lawrence Shapiro, Gabriele Cerutti and Peter D. Kwong. Their work appears in journals such as Nature, Journal of the American Chemical Society 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.