Jitendra Narayan
Impact in
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- Poxvirus research and outbreaks
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- Genetic diversity and population structure
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
Papers in
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- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 2
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- SARS-CoV-2 and COVID-19 Research 3
- Antifungal resistance and susceptibility 2
- Co-authors
- Rahul Agarwal (2 shared papers)Mayank Saraswat (1 shared paper)Anil Kumar Tomar (1 shared paper)Amitava Bhattacharyya (1 shared paper)Cai Li (1 shared paper)Marta Farré (1 shared paper)Gancho T. Slavov (1 shared paper)Erich D. Jarvis (1 shared paper)
- Journals
- Extremophiles (1 paper)Briefings in Functional Genomics (1 paper)mBio (1 paper)Biochemical Genetics (1 paper)Virus Evolution (1 paper)
- Partner nations
- IndiaUnited StatesBelgium
In The Last Decade
Jitendra Narayan
16 papers receiving 135 citations
Peers
Comparison fields: 5 of 40
- Virology 7
- Genetics 36
- Plant Science 50
- Molecular Biology 83
- Paleontology 7
Countries citing papers authored by Jitendra Narayan
This map shows the geographic impact of Jitendra Narayan'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 Jitendra Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jitendra Narayan more than expected).
Fields of papers citing papers by Jitendra Narayan
This network shows the impact of papers produced by Jitendra Narayan. 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 Jitendra Narayan. The network helps show where Jitendra Narayan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jitendra Narayan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 54 | |
| 2 | 2017 | 36 | |
| 3 | 2017 | 9 | |
| 4 | 2019 | 9 | |
| 5 | Unraveling the Impact of Bioinformatics and Omics in Agriculture | 2015 | 5 |
| 6 | 2022 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2026 | 0 |
About Jitendra Narayan
Jitendra Narayan is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Plant Science and Epidemiology, having authored 21 papers that have together received 136 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Antifungal resistance and susceptibility (2 papers), Plant Disease Resistance and Genetics (2 papers), RNA and protein synthesis mechanisms (2 papers), Microbial Community Ecology and Physiology (2 papers), Bacteriophages and microbial interactions (2 papers) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Virology (7 citations), Genetics (36 citations), Plant Science (50 citations), Molecular Biology (83 citations) and Paleontology (7 citations). Jitendra Narayan has collaborated with scholars based in India, United States and Belgium. Frequent co-authors include Rahul Agarwal, Mayank Saraswat, Anil Kumar Tomar, Amitava Bhattacharyya, Cai Li, Marta Farré, Gancho T. Slavov, Erich D. Jarvis, Joana Damas and Darren K. Griffin. Their work appears in journals such as Extremophiles, Briefings in Functional Genomics, mBio, Biochemical Genetics and Virus Evolution.
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.