Souvarish Sarkar
- Molecular Biology top 10%
- Neurology top 1%
- Neurology top 2%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Anumantha G. KanthasamyHuajun JinArthi KanthasamyVellareddy AnantharamDharmin RokadDilshan S. HarischandraNikhil PanickerShivani Ghaisas
- Topics
- Parkinson's Disease Mechanisms and Treatments (16 papers)Neuroinflammation and Neurodegeneration Mechanisms (16 papers)RNA and protein synthesis mechanisms (9 papers)
- Cited by
- NeurologyBiological Psychiatry
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- United StatesFranceTürkiye
In The Last Decade
Souvarish Sarkar
53 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.1k
- Neurology 549
- Neurology 513
- Physiology 355
- Cellular and Molecular Neuroscience 341
Countries citing papers authored by Souvarish Sarkar
This map shows the geographic impact of Souvarish Sarkar'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 Souvarish Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Souvarish Sarkar more than expected).
Fields of papers citing papers by Souvarish Sarkar
This network shows the impact of papers produced by Souvarish Sarkar. 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 Souvarish Sarkar. The network helps show where Souvarish Sarkar may publish in the future.
Co-authorship network of co-authors of Souvarish Sarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Souvarish Sarkar. A scholar is included among the top collaborators of Souvarish Sarkar 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 Souvarish Sarkar. Souvarish Sarkar 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 | 1 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 14 | |
| 8 | 53 | |
| 9 | 17 | |
| 10 | 19 | |
| 11 | 123 | |
| 12 | 133 | |
| 13 | 107 | |
| 14 | 16 | |
| 15 | 56 | |
| 16 | 58 | |
| 17 | 131 | |
| 18 | 23 | |
| 19 | 6 | |
| 20 | 4 |
About Souvarish Sarkar
Souvarish Sarkar is a scholar working on Neurology, Neurology and Physiology, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (16 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Neurology (549 citations), Biological Psychiatry (106 citations) and Neurology (513 citations). Souvarish Sarkar has collaborated with scholars based in United States, France and Türkiye. Frequent co-authors include Anumantha G. Kanthasamy, Huajun Jin, Arthi Kanthasamy, Vellareddy Anantharam, Dharmin Rokad, Dilshan S. Harischandra, Nikhil Panicker, Shivani Ghaisas, Emir Malovic and Robert E. Thach. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.