Ravi Chopra
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- Genetic Neurodegenerative Diseases 9
- Neuroscience and Neuropharmacology Research 3
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research 11
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- Glycosylation and Glycoproteins Research 5
- Mitochondrial Function and Pathology 5
- Ion channel regulation and function 5
- Neurology top 10%
- Physiology top 10%
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- Osteoarthritis Treatment and Mechanisms 4
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- Cell Adhesion Molecules Research 3
- Co-authors
- Vikram G. ShakkottaiTassos AnastassiadesMichael T. RyanPaul G. ScottC.H. PearsonGordon A. PringleAndrew DayHeike Wulff
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Ravi Chopra
32 papers receiving 800 citations
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 308
- Cell Biology 199
- Molecular Biology 478
- Neurology 98
- Physiology 28
Countries citing papers authored by Ravi Chopra
This map shows the geographic impact of Ravi Chopra'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 Ravi Chopra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Chopra more than expected).
Fields of papers citing papers by Ravi Chopra
This network shows the impact of papers produced by Ravi Chopra. 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 Ravi Chopra. The network helps show where Ravi Chopra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ravi Chopra, 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 | 20 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 14 | |
| 4 | Design of Lean Manufacturing with the use of Discrete Event Simulation | 2020 | 1 |
| 5 | 2018 | 20 | |
| 6 | 2018 | 91 | |
| 7 | 2018 | 46 | |
| 8 | 2018 | 99 | |
| 9 | 2015 | 5 | |
| 10 | 2015 | 80 | |
| 11 | 2014 | 18 | |
| 12 | 2000 | 50 | |
| 13 | 1996 | 5 | |
| 14 | 1993 | 51 | |
| 15 | 1993 | 3 | |
| 16 | 1992 | 12 | |
| 17 | 1991 | 2 | |
| 18 | 1991 | 3 | |
| 19 | 1991 | 4 | |
| 20 | 1990 | 4 |
About Ravi Chopra
Ravi Chopra is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Immunology and Allergy, having authored 32 papers that have together received 820 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (11 papers), Genetic Neurodegenerative Diseases (9 papers), Glycosylation and Glycoproteins Research (5 papers), Mitochondrial Function and Pathology (5 papers), Ion channel regulation and function (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (308 citations), Cell Biology (199 citations) and Molecular Biology (478 citations). Ravi Chopra has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Vikram G. Shakkottai, Tassos Anastassiades, Michael T. Ryan, Paul G. Scott, C.H. Pearson, Gordon A. Pringle, Andrew Day, Heike Wulff, Vikrant Singh and Philip Mayne. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.