Ashwin S. Shetty
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Aging top 10%
Papers in
-
- Congenital heart defects research 5
- Developmental Biology and Gene Regulation 3
- RNA Research and Splicing 3
-
- Neurogenesis and neuroplasticity mechanisms 9
- Co-authors
- Shubha Tole (12 shared papers)Paola Arlotta (4 shared papers)Lakshmi Subramanian (4 shared papers)Simona Lodato (3 shared papers)Edwin S. Monuki (4 shared papers)Feng Zhang (2 shared papers)Ben Martynoga (1 shared paper)Karla E. Hirokawa (1 shared paper)
- Journals
- Journal of Neuroscience (4 papers)Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Ashwin S. Shetty
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Developmental Neuroscience 265
- Aging 23
- Cellular and Molecular Neuroscience 204
- Molecular Biology 727
- Genetics 254
Countries citing papers authored by Ashwin S. Shetty
This map shows the geographic impact of Ashwin S. Shetty'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 Ashwin S. Shetty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin S. Shetty more than expected).
Fields of papers citing papers by Ashwin S. Shetty
This network shows the impact of papers produced by Ashwin S. Shetty. 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 Ashwin S. Shetty. The network helps show where Ashwin S. Shetty may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashwin S. Shetty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 245 | |
| 2 | 2020 | 188 | |
| 3 | 2017 | 152 | |
| 4 | 2011 | 74 | |
| 5 | 2017 | 70 | |
| 6 | 2014 | 66 | |
| 7 | 2009 | 63 | |
| 8 | 2016 | 48 | |
| 9 | 2013 | 42 | |
| 10 | 2018 | 28 | |
| 11 | 2022 | 21 | |
| 12 | 2017 | 19 | |
| 13 | 2012 | 17 | |
| 14 | 2019 | 13 | |
| 15 | 2017 | 13 | |
| 16 | 2012 | 6 | |
| 17 | Finite Element Investigations of Temperature Distribution in Fins with Circular Perforations | 2015 | 5 |
| 18 | 2022 | 4 | |
| 19 | 2018 | 3 | |
| 20 | 2024 | 3 |
About Ashwin S. Shetty
Ashwin S. Shetty is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology and Genetics, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (9 papers), Congenital heart defects research (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Aluminum Alloys Composites Properties (3 papers), Developmental Biology and Gene Regulation (3 papers), RNA Research and Splicing (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Developmental Neuroscience (265 citations), Aging (23 citations), Cellular and Molecular Neuroscience (204 citations), Molecular Biology (727 citations) and Genetics (254 citations). Ashwin S. Shetty has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Shubha Tole, Paola Arlotta, Lakshmi Subramanian, Simona Lodato, Edwin S. Monuki, Feng Zhang, Ben Martynoga, Karla E. Hirokawa, Yuqing Li and Mark Mai. Their work appears in journals such as Journal of Neuroscience, Science, Proceedings of the National Academy of Sciences, Nature Communications and Cell Reports.
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.