Suya Sun
Impact in
- Sensory Systems top 2%
- Ion Channels and Receptors
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 9
- Axon Guidance and Neuronal Signaling 9
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- Alzheimer's disease research and treatments 7
- Biochemical effects in animals 3
- Co-authors
- Ilya Bezprozvanny (5 shared papers)Nan‐Jie Xu (14 shared papers)Елена Попугаева (4 shared papers)Hua Zhang (2 shared papers)Charles L. White (1 shared paper)Jie Liu (1 shared paper)Stefan Feske (1 shared paper)Qiongqiong Li (4 shared papers)
- Journals
- Translational Neurodegeneration (3 papers)Nature Communications (1 paper)Journal of Alzheimer s Disease (1 paper)Journal of Neuroscience (1 paper)Channels (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Suya Sun
23 papers receiving 924 citations
Peers
Comparison fields: 5 of 73
- Sensory Systems 136
- Developmental Neuroscience 104
- Cellular and Molecular Neuroscience 420
- Biological Psychiatry 44
- Physiology 307
Countries citing papers authored by Suya Sun
This map shows the geographic impact of Suya Sun'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 Suya Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suya Sun more than expected).
Fields of papers citing papers by Suya Sun
This network shows the impact of papers produced by Suya Sun. 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 Suya Sun. The network helps show where Suya Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Suya Sun, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 239 | |
| 2 | 2016 | 121 | |
| 3 | 2016 | 65 | |
| 4 | 2014 | 64 | |
| 5 | 2011 | 63 | |
| 6 | 2015 | 59 | |
| 7 | 2019 | 46 | |
| 8 | 2020 | 46 | |
| 9 | 2016 | 41 | |
| 10 | 2013 | 39 | |
| 11 | 2020 | 28 | |
| 12 | 2016 | 26 | |
| 13 | 2020 | 23 | |
| 14 | 2022 | 16 | |
| 15 | 2019 | 14 | |
| 16 | 2020 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2019 | 5 |
About Suya Sun
Suya Sun is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Developmental Neuroscience and Neurology, having authored 23 papers that have together received 932 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Axon Guidance and Neuronal Signaling (9 papers), Alzheimer's disease research and treatments (7 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Medicinal Plants and Bioactive Compounds (3 papers), Biochemical effects in animals (3 papers), Memory and Neural Mechanisms (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Sensory Systems (136 citations), Developmental Neuroscience (104 citations), Cellular and Molecular Neuroscience (420 citations), Biological Psychiatry (44 citations) and Physiology (307 citations). Suya Sun has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Ilya Bezprozvanny, Nan‐Jie Xu, Елена Попугаева, Hua Zhang, Charles L. White, Jie Liu, Stefan Feske, Qiongqiong Li, Ekaterina Pchitskaya and Mark Henkemeyer. Their work appears in journals such as Translational Neurodegeneration, Nature Communications, Journal of Alzheimer s Disease, Journal of Neuroscience and Channels.
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.