Vijayaraghavan Rangachari
- Physiology top 2%
- Molecular Biology top 10%
- Neurology top 2%
- Cellular and Molecular Neuroscience top 10%
- Pharmacology top 5%
- Co-authors
- Terrone L. RosenberryDennis W. DicksonBrenda D. MooreDana Kim ReedTodd E. GoldeFrancisco E. BaralleJennifer GassLeonard Petrucelli
- Topics
- Alzheimer's disease research and treatments (17 papers)Chemical Synthesis and Analysis (7 papers)Prion Diseases and Protein Misfolding (5 papers)
- Cited by
- NeurologyPhysiology
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Vijayaraghavan Rangachari
34 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Physiology 860
- Molecular Biology 770
- Neurology 519
- Cellular and Molecular Neuroscience 256
- Pharmacology 204
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 of co-authors of Vijayaraghavan Rangachari
This figure shows the co-authorship network connecting the top 25 collaborators of Vijayaraghavan Rangachari. A scholar is included among the top collaborators of Vijayaraghavan Rangachari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vijayaraghavan Rangachari. Vijayaraghavan Rangachari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 40 | |
| 5 | 1 | |
| 6 | 31 | |
| 7 | 29 | |
| 8 | 58 | |
| 9 | 22 | |
| 10 | 94 | |
| 11 | 387 | |
| 12 | 133 | |
| 13 | 4 | |
| 14 | 18 | |
| 15 | 30 | |
| 16 | 7 | |
| 17 | 10 | |
| 18 | 8 | |
| 19 | 10 | |
| 20 | 14 |
About Vijayaraghavan Rangachari
Vijayaraghavan Rangachari is a scholar working on Physiology, Pharmaceutical Science and Biomaterials, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (17 papers), Chemical Synthesis and Analysis (7 papers) and Prion Diseases and Protein Misfolding (5 papers). The work is most often cited by research in Neurology (519 citations), Physiology (860 citations) and Neurology (188 citations). Vijayaraghavan Rangachari has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Terrone L. Rosenberry, Dennis W. Dickson, Brenda D. Moore, Dana Kim Reed, Todd E. Golde, Francisco E. Baralle, Jennifer Gass, Leonard Petrucelli, Ya-Fei Xu and Yong‐Jie Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Biochemistry.
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.