Nayana Prabhu
- Language and Linguistics top 0.5%
- Literature and Literary Theory top 0.2%
- Linguistics and Language top 2%
- Immunology top 10%
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 4
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- Influenza Virus Research Studies 9
- Respiratory viral infections research 5
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- Computational Drug Discovery Methods 5
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- Advanced Proteomics Techniques and Applications 4
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- Biochemical and Molecular Research 3
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- Microtubule and mitosis dynamics 3
- Co-authors
- James P. AllenLingyun DaiP. NordlundRadoslaw M. SobotaJimmy KwangMookkan PrabakaranYan Ting LimD.M. Kemeny
- Partner nations
- SingaporeSwedenUnited States
In The Last Decade
Nayana Prabhu
43 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Language and Linguistics 961
- Literature and Literary Theory 805
- Linguistics and Language 203
- Developmental and Educational Psychology 438
- Immunology 414
Countries citing papers authored by Nayana Prabhu
This map shows the geographic impact of Nayana Prabhu'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 Nayana Prabhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nayana Prabhu more than expected).
Fields of papers citing papers by Nayana Prabhu
This network shows the impact of papers produced by Nayana Prabhu. 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 Nayana Prabhu. The network helps show where Nayana Prabhu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nayana Prabhu, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 14 | |
| 6 | 2021 | 22 | |
| 7 | 2020 | 77 | |
| 8 | 2019 | 35 | |
| 9 | 2019 | 92 | |
| 10 | 2019 | 44 | |
| 11 | 2018 | 152 | |
| 12 | 2018 | 41 | |
| 13 | 2018 | 6 | |
| 14 | 2018 | 114 | |
| 15 | 2017 | 46 | |
| 16 | 2011 | 137 | |
| 17 | 2010 | 31 | |
| 18 | 2009 | 48 | |
| 19 | 2009 | 61 | |
| 20 | Ensinar é, no máximo, esperar que o melhor aconteça. | 2003 | 1 |
About Nayana Prabhu
Nayana Prabhu is a scholar working on Linguistics and Language, Virology and Biophysics, having authored 45 papers that have together received 2.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Respiratory viral infections research (5 papers), Computational Drug Discovery Methods (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers), Biochemical and Molecular Research (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Language and Linguistics (961 citations), Literature and Literary Theory (805 citations) and Linguistics and Language (203 citations). Nayana Prabhu has collaborated with scholars based in Singapore, Sweden and United States. Frequent co-authors include James P. Allen, Lingyun Dai, P. Nordlund, Radoslaw M. Sobota, Jimmy Kwang, Mookkan Prabakaran, Yan Ting Lim, D.M. Kemeny, Qiang Jia and Hui-Ting Ho. Their work appears in journals such as TESOL Quarterly, Journal of Virology, PLoS ONE, Nature Communications and Antiviral Research.
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.