Akash Datwani
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 6
- Axon Guidance and Neuronal Signaling 3
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- Retinal Development and Disorders 2
- Angiogenesis and VEGF in Cancer 1
- Co-authors
- Reha S. Erzurumlu (4 shared papers)Shigeyoshi Itohara (3 shared papers)Takuji Iwasato (3 shared papers)Carla J. Shatz (3 shared papers)Alexander M. Wolf (1 shared paper)Yusuke Taguchi (1 shared paper)Hiroshi Nishiyama (1 shared paper)Michael J. McConnell (2 shared papers)
- Journals
- Alzheimer s & Dementia (2 papers)Molecular and Cellular Neuroscience (2 papers)Nature (2 papers)Proceedings of the National Academy of Sciences (1 paper)European Journal of Neuroscience (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Akash Datwani
10 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Developmental Neuroscience 240
- Neurology 300
- Cellular and Molecular Neuroscience 689
- Biological Psychiatry 82
- Cognitive Neuroscience 196
Countries citing papers authored by Akash Datwani
This map shows the geographic impact of Akash Datwani'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 Akash Datwani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akash Datwani more than expected).
Fields of papers citing papers by Akash Datwani
This network shows the impact of papers produced by Akash Datwani. 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 Akash Datwani. The network helps show where Akash Datwani may publish in the future.
Co-authors
The 25 scholars most cited alongside Akash Datwani, 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 | 2000 | 406 | |
| 2 | 2014 | 177 | |
| 3 | 2009 | 170 | |
| 4 | 2002 | 99 | |
| 5 | 2009 | 96 | |
| 6 | 1999 | 51 | |
| 7 | 2002 | 42 | |
| 8 | 2011 | 19 | |
| 9 | 2017 | 10 | |
| 10 | 2017 | 2 |
About Akash Datwani
Akash Datwani is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Cognitive Neuroscience and Physiology, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Axon Guidance and Neuronal Signaling (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Alzheimer's disease research and treatments (2 papers), Retinal Development and Disorders (2 papers), Neural dynamics and brain function (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Developmental Neuroscience (240 citations), Neurology (300 citations), Cellular and Molecular Neuroscience (689 citations), Biological Psychiatry (82 citations) and Cognitive Neuroscience (196 citations). Akash Datwani has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Reha S. Erzurumlu, Shigeyoshi Itohara, Takuji Iwasato, Carla J. Shatz, Alexander M. Wolf, Yusuke Taguchi, Hiroshi Nishiyama, Michael J. McConnell, Susumu Tonegawa and Thomas Knöpfel. Their work appears in journals such as Alzheimer s & Dementia, Molecular and Cellular Neuroscience, Nature, Proceedings of the National Academy of Sciences and European 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.