Shreejoy J. Tripathy
- Biological Psychiatry top 2%
- Tryptophan and brain disorders 8
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 11
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- Neuroscience and Neural Engineering 7
- Neuroscience and Neuropharmacology Research 7
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 14
- Behavioral Neuroscience top 5%
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- Single-cell and spatial transcriptomics 12
- Receptor Mechanisms and Signaling 6
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- Cell Image Analysis Techniques 7
- Co-authors
- Paul PavlidisNathaniel N. UrbanRichard C. GerkinMichael WainbergB. Ogan MancarciLilah TokerShawn D. BurtonKrishnan Padmanabhan
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (4 papers)Journal of Neuroscience (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Shreejoy J. Tripathy
52 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 120
- Biological Psychiatry 173
- Neurology 247
- Cellular and Molecular Neuroscience 537
- Cognitive Neuroscience 467
- Behavioral Neuroscience 85
Countries citing papers authored by Shreejoy J. Tripathy
This map shows the geographic impact of Shreejoy J. Tripathy'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 Shreejoy J. Tripathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shreejoy J. Tripathy more than expected).
Fields of papers citing papers by Shreejoy J. Tripathy
This network shows the impact of papers produced by Shreejoy J. Tripathy. 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 Shreejoy J. Tripathy. The network helps show where Shreejoy J. Tripathy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shreejoy J. Tripathy, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 19 | |
| 4 | 2024 | 25 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 36 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 52 | |
| 14 | 2021 | 38 | |
| 15 | 2021 | 5 | |
| 16 | 2018 | 76 | |
| 17 | 2017 | 90 | |
| 18 | 2017 | 35 | |
| 19 | 2015 | 46 | |
| 20 | 2015 | 13 |
About Shreejoy J. Tripathy
Shreejoy J. Tripathy is a scholar working on Biological Psychiatry, Neurology and Biophysics, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Single-cell and spatial transcriptomics (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Tryptophan and brain disorders (8 papers), Neuroscience and Neural Engineering (7 papers), Cell Image Analysis Techniques (7 papers), Neuroscience and Neuropharmacology Research (7 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Biological Psychiatry (173 citations), Neurology (247 citations) and Cellular and Molecular Neuroscience (537 citations). Shreejoy J. Tripathy has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Paul Pavlidis, Nathaniel N. Urban, Richard C. Gerkin, Michael Wainberg, B. Ogan Mancarci, Lilah Toker, Shawn D. Burton, Krishnan Padmanabhan, Jiannis Ragoussis and Jean‐François Théroux. 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.