Sabyasachi Maity
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience top 10%
- Molecular Biology
- Physiology
- Neurology
- Co-authors
- Timothy J. JaromePeter NguyenKayla FarrellSareesh Naduvil NarayananShaghayegh NavabpourChristos G. GkogkasNahum SonenbergSteven A. Connor
- Topics
- Neuroscience and Neuropharmacology Research (6 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)Genetics and Neurodevelopmental Disorders (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaNature NeuroscienceThe Journal of Physiology
- Partner nations
- GrenadaCayman IslandsUnited States
In The Last Decade
Sabyasachi Maity
20 papers receiving 352 citations
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 123
- Cognitive Neuroscience 109
- Molecular Biology 107
- Physiology 47
- Neurology 45
Countries citing papers authored by Sabyasachi Maity
This map shows the geographic impact of Sabyasachi Maity'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 Sabyasachi Maity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabyasachi Maity more than expected).
Fields of papers citing papers by Sabyasachi Maity
This network shows the impact of papers produced by Sabyasachi Maity. 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 Sabyasachi Maity. The network helps show where Sabyasachi Maity may publish in the future.
Co-authorship network of co-authors of Sabyasachi Maity
This figure shows the co-authorship network connecting the top 25 collaborators of Sabyasachi Maity. A scholar is included among the top collaborators of Sabyasachi Maity 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 Sabyasachi Maity. Sabyasachi Maity is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 19 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 29 | |
| 11 | 2 | |
| 12 | Long-Term Potentiation (LTP): A Simple yet Powerful Cellular Process in Learning and Memory | 1 |
| 13 | 4 | |
| 14 | 71 | |
| 15 | 15 | |
| 16 | 12 | |
| 17 | 73 | |
| 18 | 44 | |
| 19 | 1 | |
| 20 | 18 |
About Sabyasachi Maity
Sabyasachi Maity is a scholar working on Neurology, Developmental Biology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 362 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Biological Psychiatry (19 citations), Cellular and Molecular Neuroscience (123 citations) and Cognitive Neuroscience (109 citations). Sabyasachi Maity has collaborated with scholars based in Grenada, Cayman Islands and United States. Frequent co-authors include Timothy J. Jarome, Peter Nguyen, Kayla Farrell, Sareesh Naduvil Narayanan, Shaghayegh Navabpour, Christos G. Gkogkas, Nahum Sonenberg, Steven A. Connor, Samal Nauhria and Massimiliano Aceti. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and The Journal of Physiology.
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.