Shovan Naskar
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 5
- Photoreceptor and optogenetics research 4
- Neuroscience and Neural Engineering 3
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- Neural dynamics and brain function 3
- Memory and Neural Mechanisms 2
- Co-authors
- Laura Cancedda (7 shared papers)Gabriele Deidda (3 shared papers)Martina Parrini (3 shared papers)Andrea Contestabile (3 shared papers)Soo‐Hyun Lee (2 shared papers)Jia Qi (2 shared papers)Manuela Allegra (1 shared paper)Chiara Cerri (1 shared paper)
- Journals
- Neuron (1 paper)PLoS Biology (1 paper)Nature Medicine (1 paper)Parkinsonism & Related Disorders (1 paper)Molecular Therapy (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Shovan Naskar
12 papers receiving 467 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 255
- Developmental Neuroscience 49
- Cognitive Neuroscience 145
- Neurology 31
- Biological Psychiatry 9
Countries citing papers authored by Shovan Naskar
This map shows the geographic impact of Shovan Naskar'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 Shovan Naskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shovan Naskar more than expected).
Fields of papers citing papers by Shovan Naskar
This network shows the impact of papers produced by Shovan Naskar. 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 Shovan Naskar. The network helps show where Shovan Naskar may publish in the future.
Co-authors
The 25 scholars most cited alongside Shovan Naskar, 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 | 2015 | 217 | |
| 2 | 2014 | 100 | |
| 3 | 2021 | 49 | |
| 4 | 2019 | 34 | |
| 5 | 2021 | 23 | |
| 6 | 2017 | 15 | |
| 7 | 2025 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 2010 | 8 | |
| 10 | 2015 | 3 | |
| 11 | 2016 | 1 | |
| 12 | 2024 | 1 |
About Shovan Naskar
Shovan Naskar is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Pediatrics, Perinatology and Child Health, Developmental Neuroscience and Biomedical Engineering, having authored 12 papers that have together received 477 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Photoreceptor and optogenetics research (4 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neural Engineering (3 papers), Analog and Mixed-Signal Circuit Design (3 papers), Neonatal and fetal brain pathology (2 papers), Memory and Neural Mechanisms (2 papers) and Down syndrome and intellectual disability research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (255 citations), Developmental Neuroscience (49 citations), Cognitive Neuroscience (145 citations), Neurology (31 citations) and Biological Psychiatry (9 citations). Shovan Naskar has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Laura Cancedda, Gabriele Deidda, Martina Parrini, Andrea Contestabile, Soo‐Hyun Lee, Jia Qi, Manuela Allegra, Chiara Cerri, Giulia Zunino and Guillaume Bony. Their work appears in journals such as Neuron, PLoS Biology, Nature Medicine, Parkinsonism & Related Disorders and Molecular Therapy.
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.