Suyog Pol
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neurogenesis and neuroplasticity mechanisms 10
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- MicroRNA in disease regulation 6
- Co-authors
- Fraser J. SimMelanie A. O’BaraJing WangKaren C. DietzChunming WangRobert ZivadinovFerdinand SchweserHani Shayya
- Journals
- Experimental Neurology (4 papers)Journal of Neuroimaging (2 papers)Journal of Neuroscience (1 paper)Neurosurgery (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Suyog Pol
19 papers receiving 410 citations
Peers
Comparison fields: 5 of 60
- Developmental Neuroscience 223
- Neurology 84
- Cancer Research 86
- Pathology and Forensic Medicine 85
- Cellular and Molecular Neuroscience 71
Countries citing papers authored by Suyog Pol
This map shows the geographic impact of Suyog Pol'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 Suyog Pol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suyog Pol more than expected).
Fields of papers citing papers by Suyog Pol
This network shows the impact of papers produced by Suyog Pol. 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 Suyog Pol. The network helps show where Suyog Pol may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suyog Pol, 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 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 20 | |
| 5 | 2020 | 7 | |
| 6 | 2020 | 6 | |
| 7 | 2019 | 23 | |
| 8 | 2018 | 23 | |
| 9 | 2018 | 16 | |
| 10 | 2017 | 20 | |
| 11 | 2017 | 10 | |
| 12 | 2017 | 1 | |
| 13 | 2016 | 41 | |
| 14 | 2015 | 62 | |
| 15 | 2014 | 65 | |
| 16 | 2013 | 29 | |
| 17 | 2013 | 18 | |
| 18 | 2012 | 61 | |
| 19 | 2008 | 4 |
About Suyog Pol
Suyog Pol is a scholar working on Developmental Neuroscience, Cancer Research, Pathology and Forensic Medicine, Neurology and Genetics, having authored 19 papers that have together received 410 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (10 papers), Multiple Sclerosis Research Studies (7 papers), MicroRNA in disease regulation (6 papers), Pluripotent Stem Cells Research (3 papers), Glioma Diagnosis and Treatment (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA Research and Splicing (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Developmental Neuroscience (223 citations), Neurology (84 citations), Cancer Research (86 citations), Pathology and Forensic Medicine (85 citations) and Cellular and Molecular Neuroscience (71 citations). Suyog Pol has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Fraser J. Sim, Melanie A. O’Bara, Jing Wang, Karen C. Dietz, Chunming Wang, Robert Zivadinov, Ferdinand Schweser, Jing Wang, Hani Shayya and Nicola Bertolino. Their work appears in journals such as Experimental Neurology, Journal of Neuroimaging, Journal of Neuroscience, Neurosurgery and Nature Communications.
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.