Sridhara Chakravarthy
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms 3
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- Neuroscience and Neuropharmacology Research 3
- Photoreceptor and optogenetics research 1
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- Neural dynamics and brain function 2
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- Zebrafish Biomedical Research Applications 3
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- Retinal Development and Disorders 2
- CRISPR and Genetic Engineering 1
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- Virus-based gene therapy research 1
- Co-authors
- Christiaan N. LeveltM. Hadi SaiepourSunil K. SukumaranRobin HartmanSathish SadagopanHuibert D. MansvelderJonathan J. CoueySimone P. Niclou
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Neuron (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- NetherlandsIndiaUnited Kingdom
In The Last Decade
Sridhara Chakravarthy
10 papers receiving 324 citations
Peers
Comparison fields: 5 of 77
- Developmental Neuroscience 54
- Cellular and Molecular Neuroscience 161
- Aging 12
- Endocrine and Autonomic Systems 34
- Cognitive Neuroscience 76
Countries citing papers authored by Sridhara Chakravarthy
This map shows the geographic impact of Sridhara Chakravarthy'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 Sridhara Chakravarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sridhara Chakravarthy more than expected).
Fields of papers citing papers by Sridhara Chakravarthy
This network shows the impact of papers produced by Sridhara Chakravarthy. 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 Sridhara Chakravarthy. The network helps show where Sridhara Chakravarthy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sridhara Chakravarthy, 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 | 2016 | 62 | |
| 2 | 2016 | 9 | |
| 3 | 2014 | 34 | |
| 4 | 2014 | 6 | |
| 5 | 2010 | 32 | |
| 6 | 2009 | 17 | |
| 7 | 2009 | 19 | |
| 8 | 2008 | 10 | |
| 9 | 2006 | 62 | |
| 10 | 2004 | 82 |
About Sridhara Chakravarthy
Sridhara Chakravarthy is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 10 papers that have together received 333 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Zebrafish Biomedical Research Applications (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neural dynamics and brain function (2 papers), Retinal Development and Disorders (2 papers), Virus-based gene therapy research (1 paper), CRISPR and Genetic Engineering (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Developmental Neuroscience (54 citations), Cellular and Molecular Neuroscience (161 citations) and Aging (12 citations). Sridhara Chakravarthy has collaborated with scholars based in Netherlands, India and United Kingdom. Frequent co-authors include Christiaan N. Levelt, M. Hadi Saiepour, Sunil K. Sukumaran, Robin Hartman, Sathish Sadagopan, Huibert D. Mansvelder, Jonathan J. Couey, Simone P. Niclou, Fred Sablitzky and Patrick N. Anderson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron 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.