Yan Sai
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in ⓘ
-
- Mitochondrial Function and Pathology 5
- Heme Oxygenase-1 and Carbon Monoxide 3
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- Parkinson's Disease Mechanisms and Treatments 5
- Co-authors
- Zhongmin Zou (18 shared papers)Kaige Peng (7 shared papers)Guorong Dan (19 shared papers)Jia Cao (8 shared papers)Yuanpeng Zhao (16 shared papers)Feng Ye (17 shared papers)Zhaojun Dong (5 shared papers)Ye Feng (4 shared papers)
- Journals
- Molecular Neurobiology (2 papers)Toxicology Letters (2 papers)Gene (1 paper)Neuroscience & Biobehavioral Reviews (1 paper)Cellular and Molecular Neurobiology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yan Sai
26 papers receiving 639 citations
Peers
Comparison fields: 5 of 93
- Geriatrics and Gerontology 70
- Biological Psychiatry 20
- Neurology 112
- Aging 11
- Neurology 46
Countries citing papers authored by Yan Sai
This map shows the geographic impact of Yan Sai'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 Yan Sai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Sai more than expected).
Fields of papers citing papers by Yan Sai
This network shows the impact of papers produced by Yan Sai. 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 Yan Sai. The network helps show where Yan Sai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Sai, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 143 | |
| 2 | 2015 | 94 | |
| 3 | 2008 | 60 | |
| 4 | 2012 | 48 | |
| 5 | 2021 | 39 | |
| 6 | 2018 | 38 | |
| 7 | 2018 | 37 | |
| 8 | 2021 | 33 | |
| 9 | 2021 | 24 | |
| 10 | 2021 | 16 | |
| 11 | 2008 | 14 | |
| 12 | 2021 | 14 | |
| 13 | 2013 | 13 | |
| 14 | 2023 | 12 | |
| 15 | 2019 | 12 | |
| 16 | 2013 | 11 | |
| 17 | 2013 | 7 | |
| 18 | 2016 | 6 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 3 |
About Yan Sai
Yan Sai is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Epidemiology and Plant Science, having authored 29 papers that have together received 641 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Autophagy in Disease and Therapy (4 papers), Pesticide Exposure and Toxicity (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Pesticide and Herbicide Environmental Studies (2 papers). The work is most often cited by research in Geriatrics and Gerontology (70 citations), Biological Psychiatry (20 citations), Neurology (112 citations), Aging (11 citations) and Neurology (46 citations). Yan Sai has collaborated with scholars based in China and United States. Frequent co-authors include Zhongmin Zou, Kaige Peng, Guorong Dan, Jia Cao, Yuanpeng Zhao, Feng Ye, Zhaojun Dong, Ye Feng, Likui Yang and Qiang Wu. Their work appears in journals such as Molecular Neurobiology, Toxicology Letters, Gene, Neuroscience & Biobehavioral Reviews and Cellular and Molecular Neurobiology.
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.