Sanyong Niu
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms 8
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- Neuroscience and Neuropharmacology Research 5
- Axon Guidance and Neuronal Signaling 4
- Aging top 5%
- Cell Biology top 5%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Amyotrophic Lateral Sclerosis Research 1
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- MicroRNA in disease regulation 2
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- Chemical Synthesis and Analysis 1
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- Gastroesophageal reflux and treatments 1
- Co-authors
- Gabriella D’ArcangeloOdessa YabutCarlo Cosimo QuattrocchiMichael SheldonYoko MachidaMunenori NekookiMotomasa TanakaNobuyuki Nukina
- Partner nations
- United StatesJapanSpain
In The Last Decade
Sanyong Niu
13 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Developmental Neuroscience 492
- Cellular and Molecular Neuroscience 721
- Aging 40
- Cell Biology 268
- Neurology 124
Countries citing papers authored by Sanyong Niu
This map shows the geographic impact of Sanyong Niu'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 Sanyong Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanyong Niu more than expected).
Fields of papers citing papers by Sanyong Niu
This network shows the impact of papers produced by Sanyong Niu. 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 Sanyong Niu. The network helps show where Sanyong Niu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sanyong Niu, 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 | 0 | |
| 2 | 2020 | 22 | |
| 3 | 2014 | 68 | |
| 4 | 2011 | 72 | |
| 5 | 2008 | 215 | |
| 6 | 2006 | 218 | |
| 7 | 2006 | 54 | |
| 8 | 2005 | 3 | |
| 9 | 2004 | 296 | |
| 10 | Trehalose alleviates polyglutamine-mediated pathology in a mouse model of Huntington diseasebreakdown → | 2004 | 631 |
| 11 | 2003 | 171 | |
| 12 | 2000 | 10 | |
| 13 | 2000 | 2 | |
| 14 | 1999 | 15 |
About Sanyong Niu
Sanyong Niu is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology, Gastroenterology and Cancer Research, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (8 papers), Neuroscience and Neuropharmacology Research (5 papers), Axon Guidance and Neuronal Signaling (4 papers), MicroRNA in disease regulation (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper), Chemical Synthesis and Analysis (1 paper) and Gastroesophageal reflux and treatments (1 paper). The work is most often cited by research in Developmental Neuroscience (492 citations), Cellular and Molecular Neuroscience (721 citations), Aging (40 citations), Cell Biology (268 citations) and Neurology (124 citations). Sanyong Niu has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Gabriella D’Arcangelo, Odessa Yabut, Carlo Cosimo Quattrocchi, Michael Sheldon, Yoko Machida, Munenori Nekooki, Motomasa Tanaka, Nobuyuki Nukina, Hiroshi Doi and Tetsurou Ikeda. Their work appears in journals such as Journal of Neuroscience, Nature Genetics, Nature Medicine, Neuroscience and Brain Research.
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.