Ashwinikumar Kulkarni
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Single-cell and spatial transcriptomics 6
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- Sleep and Wakefulness Research 3
- Neural dynamics and brain function 3
- Co-authors
- Geneviève Konopka (17 shared papers)Ashley G. Anderson (6 shared papers)Devin P. Merullo (1 shared paper)Matthew J. Harper (6 shared papers)Stefano Berto (3 shared papers)Fatma Ayhan (2 shared papers)Connor Douglas (2 shared papers)Bradley Lega (2 shared papers)
- Journals
- eLife (3 papers)Cell Reports (2 papers)Journal of Neuroscience (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Neuroscience (2 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Ashwinikumar Kulkarni
20 papers receiving 856 citations
Peers
Comparison fields: 5 of 95
- Developmental Neuroscience 72
- Endocrine and Autonomic Systems 65
- Neurology 73
- Biological Psychiatry 18
- Neurology 101
Countries citing papers authored by Ashwinikumar Kulkarni
This map shows the geographic impact of Ashwinikumar Kulkarni'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 Ashwinikumar Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwinikumar Kulkarni more than expected).
Fields of papers citing papers by Ashwinikumar Kulkarni
This network shows the impact of papers produced by Ashwinikumar Kulkarni. 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 Ashwinikumar Kulkarni. The network helps show where Ashwinikumar Kulkarni may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashwinikumar Kulkarni, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 226 | |
| 2 | 2014 | 100 | |
| 3 | 2021 | 98 | |
| 4 | 2013 | 75 | |
| 5 | 2021 | 63 | |
| 6 | 2017 | 54 | |
| 7 | 2017 | 46 | |
| 8 | 2020 | 35 | |
| 9 | 2020 | 34 | |
| 10 | 2011 | 30 | |
| 11 | 2019 | 27 | |
| 12 | 2010 | 27 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 2 |
About Ashwinikumar Kulkarni
Ashwinikumar Kulkarni is a scholar working on Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Genetics and Endocrine and Autonomic Systems, having authored 22 papers that have together received 861 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Single-cell and spatial transcriptomics (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Sleep and Wakefulness Research (3 papers), Circadian rhythm and melatonin (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Developmental Neuroscience (72 citations), Endocrine and Autonomic Systems (65 citations), Neurology (73 citations), Biological Psychiatry (18 citations) and Neurology (101 citations). Ashwinikumar Kulkarni has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Geneviève Konopka, Ashley G. Anderson, Devin P. Merullo, Matthew J. Harper, Stefano Berto, Fatma Ayhan, Connor Douglas, Bradley Lega, Karthigayini Sivaprakasam and Michael Q. Zhang. Their work appears in journals such as eLife, Cell Reports, Journal of Neuroscience, Proceedings of the National Academy of Sciences and Nature 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.