Saurav Brahmachari
- Molecular Biology
- Neurology top 2%
- Cellular and Molecular Neuroscience top 5%
- Neurology top 2%
- Physiology top 10%
- Co-authors
- Kalipada PahanYiu K. FungValina L. DawsonTed M. DawsonSenthilkumar S. KaruppagounderArundhati JanaHan Seok KoYunjong Lee
- Topics
- Parkinson's Disease Mechanisms and Treatments (9 papers)Nuclear Receptors and Signaling (6 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)
- Cited by
- NeurologyBiological Psychiatry
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Investigation
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Saurav Brahmachari
23 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 669
- Neurology 628
- Cellular and Molecular Neuroscience 463
- Neurology 402
- Physiology 349
Countries citing papers authored by Saurav Brahmachari
This map shows the geographic impact of Saurav Brahmachari'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 Saurav Brahmachari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurav Brahmachari more than expected).
Fields of papers citing papers by Saurav Brahmachari
This network shows the impact of papers produced by Saurav Brahmachari. 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 Saurav Brahmachari. The network helps show where Saurav Brahmachari may publish in the future.
Co-authorship network of co-authors of Saurav Brahmachari
This figure shows the co-authorship network connecting the top 25 collaborators of Saurav Brahmachari. A scholar is included among the top collaborators of Saurav Brahmachari 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 Saurav Brahmachari. Saurav Brahmachari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 18 | |
| 3 | Neuronal NLRP3 is a parkin substrate that drives neurodegeneration in Parkinson’s diseasebreakdown → | 139 |
| 4 | 138 | |
| 5 | 25 | |
| 6 | 56 | |
| 7 | 70 | |
| 8 | 137 | |
| 9 | 35 | |
| 10 | 187 | |
| 11 | 113 | |
| 12 | 19 | |
| 13 | 42 | |
| 14 | 134 | |
| 15 | 144 | |
| 16 | 18 | |
| 17 | 50 | |
| 18 | Role of cytokine p40 family in multiple sclerosis. | 23 |
| 19 | 302 | |
| 20 | 1 |
About Saurav Brahmachari
Saurav Brahmachari is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), Nuclear Receptors and Signaling (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Neurology (402 citations), Neurology (628 citations) and Biological Psychiatry (79 citations). Saurav Brahmachari has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Kalipada Pahan, Yiu K. Fung, Valina L. Dawson, Ted M. Dawson, Senthilkumar S. Karuppagounder, Arundhati Jana, Han Seok Ko, Yunjong Lee, Howard E. Gendelman and Avik Roy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.
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.