Madhavan Nair
- Virology top 0.2%
- HIV Research and Treatment 79
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders 19
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 21
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery 16
- Behavioral Neuroscience top 5%
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- Immune Cell Function and Interaction 33
- Immunotherapy and Immune Responses 14
- T-cell and B-cell Immunology 12
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- RNA Interference and Gene Delivery 16
- Co-authors
- Stanley A. SchwartzAjeet KaushikVenkata AtluriVidya SagarSupriya D. MahajanThangavel SamikkannuRahul Dev JayantMarisela Agudelo
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Madhavan Nair
188 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Virology 1.6k
- Biological Psychiatry 481
- Neurology 704
- Biomaterials 701
- Behavioral Neuroscience 176
Countries citing papers authored by Madhavan Nair
This map shows the geographic impact of Madhavan 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 Madhavan Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhavan Nair more than expected).
Fields of papers citing papers by Madhavan Nair
This network shows the impact of papers produced by Madhavan 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 Madhavan Nair. The network helps show where Madhavan Nair may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Madhavan 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 | 2023 | 6 | |
| 2 | 2023 | 21 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 29 | |
| 5 | 2021 | 35 | |
| 6 | 2019 | 35 | |
| 7 | 2019 | 50 | |
| 8 | 2018 | 21 | |
| 9 | 2018 | 165 | |
| 10 | 2017 | 16 | |
| 11 | 2016 | 3 | |
| 12 | 2016 | 28 | |
| 13 | 2014 | 6 | |
| 14 | 2012 | 25 | |
| 15 | 2009 | 11 | |
| 16 | 2009 | 74 | |
| 17 | 2006 | 20 | |
| 18 | 2002 | 87 | |
| 19 | 2002 | 143 | |
| 20 | 1997 | 28 |
About Madhavan Nair
Madhavan Nair is a scholar working on Virology, Biological Psychiatry, Neurology, Immunology and Infectious Diseases, having authored 190 papers that have together received 7.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (79 papers), Immune Cell Function and Interaction (33 papers), Neuroinflammation and Neurodegeneration Mechanisms (21 papers), Tryptophan and brain disorders (19 papers), RNA Interference and Gene Delivery (16 papers), Nanoparticle-Based Drug Delivery (16 papers), Immunotherapy and Immune Responses (14 papers) and T-cell and B-cell Immunology (12 papers). The work is most often cited by research in Virology (1.6k citations), Biological Psychiatry (481 citations), Neurology (704 citations), Biomaterials (701 citations) and Behavioral Neuroscience (176 citations). Madhavan Nair has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Stanley A. Schwartz, Ajeet Kaushik, Venkata Atluri, Vidya Sagar, Supriya D. Mahajan, Thangavel Samikkannu, Rahul Dev Jayant, Marisela Agudelo, Shekhar Bhansali and Sudheesh Pilakka‐Kanthikeel. Their work appears in journals such as Scientific Reports, PLoS ONE, Frontiers in Microbiology, Journal of NeuroVirology and The Journal of Immunology.
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.