Vijayaraghavan Rangachari
- Physiology top 10%
- Alzheimer's disease research and treatments 22
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- Amyotrophic Lateral Sclerosis Research 6
- Parkinson's Disease Mechanisms and Treatments 4
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- Supramolecular Self-Assembly in Materials 8
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- Protein Structure and Dynamics 9
- Prion Diseases and Protein Misfolding 8
- RNA Research and Splicing 6
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- Amyotrophic Lateral Sclerosis Research 6
- Parkinson's Disease Mechanisms and Treatments 4
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- Computational Drug Discovery Methods 4
- Co-authors
- Amit KumarSarah E. MorganPreetam GhoshVladimir N. UverskyDexter N. DeanAshwin VaidyaMelissa A. MossPradipta Das
- Cited by
- PhysiologyNeurologyBiomaterials
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Vijayaraghavan Rangachari
33 papers receiving 564 citations
Peers
Comparison fields: 5 of 95
- Physiology 279
- Neurology 93
- Biomaterials 79
- Molecular Biology 383
- Neurology 42
Countries citing papers authored by Vijayaraghavan Rangachari
This map shows the geographic impact of Vijayaraghavan Rangachari'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 Vijayaraghavan Rangachari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijayaraghavan Rangachari more than expected).
Fields of papers citing papers by Vijayaraghavan Rangachari
This network shows the impact of papers produced by Vijayaraghavan Rangachari. 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 Vijayaraghavan Rangachari. The network helps show where Vijayaraghavan Rangachari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vijayaraghavan Rangachari, 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 | 2023 | 4 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 13 | |
| 6 | 2020 | 30 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 7 | |
| 9 | 2019 | 8 | |
| 10 | 2018 | 7 | |
| 11 | 2017 | 33 | |
| 12 | 2017 | 10 | |
| 13 | 2017 | 23 | |
| 14 | 2016 | 30 | |
| 15 | 2015 | 1 | |
| 16 | 2014 | 26 | |
| 17 | 2012 | 35 | |
| 18 | 2011 | 41 | |
| 19 | 2011 | 18 | |
| 20 | 2010 | 49 |
About Vijayaraghavan Rangachari
Vijayaraghavan Rangachari is a scholar working on Physiology, Biomaterials and Neurology, having authored 34 papers that have together received 567 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (22 papers), Protein Structure and Dynamics (9 papers), Prion Diseases and Protein Misfolding (8 papers), Supramolecular Self-Assembly in Materials (8 papers), Amyotrophic Lateral Sclerosis Research (6 papers), RNA Research and Splicing (6 papers), Computational Drug Discovery Methods (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Physiology (279 citations), Neurology (93 citations) and Biomaterials (79 citations). Vijayaraghavan Rangachari has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Amit Kumar, Sarah E. Morgan, Preetam Ghosh, Vladimir N. Uversky, Dexter N. Dean, Ashwin Vaidya, Melissa A. Moss, Pradipta Das, Pratip Rana and John J. Correia. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.