Dipankar J. Dutta
- Neurology top 2%
- Molecular Biology
- Developmental Neuroscience top 2%
- Cellular and Molecular Neuroscience top 10%
- Neurology top 10%
- Co-authors
- Gareth JohnAzeb Tadesse ArgawSean S. MahaseJohn N. MarianiLinnéa AspElisabeth G. KramerJeremy SetoTrinh Pham
- Topics
- Neurogenesis and neuroplasticity mechanisms (4 papers)Neuroscience and Neuropharmacology Research (3 papers)Multiple Sclerosis Research Studies (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Immunology
- Partner nations
- United StatesJapanFrance
In The Last Decade
Dipankar J. Dutta
15 papers receiving 952 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Neurology 414
- Molecular Biology 362
- Developmental Neuroscience 203
- Cellular and Molecular Neuroscience 176
- Neurology 107
Countries citing papers authored by Dipankar J. Dutta
This map shows the geographic impact of Dipankar J. Dutta'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 Dipankar J. Dutta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipankar J. Dutta more than expected).
Fields of papers citing papers by Dipankar J. Dutta
This network shows the impact of papers produced by Dipankar J. Dutta. 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 Dipankar J. Dutta. The network helps show where Dipankar J. Dutta may publish in the future.
Co-authorship network of co-authors of Dipankar J. Dutta
This figure shows the co-authorship network connecting the top 25 collaborators of Dipankar J. Dutta. A scholar is included among the top collaborators of Dipankar J. Dutta 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 Dipankar J. Dutta. Dipankar J. Dutta 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 | 2 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 16 | |
| 6 | 19 | |
| 7 | 137 | |
| 8 | 50 | |
| 9 | 82 | |
| 10 | 1 | |
| 11 | 28 | |
| 12 | Astrocyte-derived VEGF-A drives blood-brain barrier disruption in CNS inflammatory diseasebreakdown → | 552 |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 17 | |
| 16 | 29 |
About Dipankar J. Dutta
Dipankar J. Dutta is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 16 papers that have together received 959 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Multiple Sclerosis Research Studies (3 papers). The work is most often cited by research in Neurology (414 citations), Developmental Neuroscience (203 citations) and Biological Psychiatry (47 citations). Dipankar J. Dutta has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Gareth John, Azeb Tadesse Argaw, Sean S. Mahase, John N. Mariani, Linnéa Asp, Elisabeth G. Kramer, Jeremy Seto, Trinh Pham, Kristina Navrazhina and Jingya Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.
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.