Supriya Swarnkar
- Molecular Biology top 10%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Neurology top 5%
- Pharmacology top 5%
- Co-authors
- Chandishwar NathPradip K. KamatShivika RaiSantoshkumar TotaNeetu TyagiAnuradha KalaniRakesh ShuklaPoonam Goswami
- Topics
- Neuroscience and Neuropharmacology Research (13 papers)Alzheimer's disease research and treatments (8 papers)Neuroinflammation and Neurodegeneration Mechanisms (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryScientific Reports
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Supriya Swarnkar
34 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 705
- Physiology 415
- Cellular and Molecular Neuroscience 407
- Neurology 269
- Pharmacology 198
Countries citing papers authored by Supriya Swarnkar
This map shows the geographic impact of Supriya Swarnkar'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 Supriya Swarnkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriya Swarnkar more than expected).
Fields of papers citing papers by Supriya Swarnkar
This network shows the impact of papers produced by Supriya Swarnkar. 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 Supriya Swarnkar. The network helps show where Supriya Swarnkar may publish in the future.
Co-authorship network of co-authors of Supriya Swarnkar
This figure shows the co-authorship network connecting the top 25 collaborators of Supriya Swarnkar. A scholar is included among the top collaborators of Supriya Swarnkar 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 Supriya Swarnkar. Supriya Swarnkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 22 | |
| 4 | 10 | |
| 5 | 19 | |
| 6 | 40 | |
| 7 | 35 | |
| 8 | 42 | |
| 9 | 56 | |
| 10 | Mechanism of Oxidative Stress and Synapse Dysfunction in the Pathogenesis of Alzheimer’s Disease: Understanding the Therapeutics Strategiesbreakdown → | 390 |
| 11 | 86 | |
| 12 | 70 | |
| 13 | 46 | |
| 14 | 23 | |
| 15 | 46 | |
| 16 | 14 | |
| 17 | 60 | |
| 18 | 41 | |
| 19 | 53 | |
| 20 | 28 |
About Supriya Swarnkar
Supriya Swarnkar is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cell Biology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Alzheimer's disease research and treatments (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). The work is most often cited by research in Biological Psychiatry (105 citations), Neurology (269 citations) and Cellular and Molecular Neuroscience (407 citations). Supriya Swarnkar has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Chandishwar Nath, Pradip K. Kamat, Shivika Rai, Santoshkumar Tota, Neetu Tyagi, Anuradha Kalani, Rakesh Shukla, Poonam Goswami, Ishan Patro and Sarika Singh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Scientific Reports.
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.