Sanzhong Li
- Cancer Research top 10%
- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 5
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Transcranial Magnetic Stimulation Studies 3
- Geriatrics and Gerontology top 10%
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- Neuroinflammation and Neurodegeneration Mechanisms 3
- Transcranial Magnetic Stimulation Studies 3
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- Circular RNAs in diseases 6
- Extracellular vesicles in disease 4
- RNA modifications and cancer 3
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- Functional Brain Connectivity Studies 3
- Co-authors
- Qing-fang JiaoJing ZhaoYongbo ZhaoZhou FeiXiang WangChao YouJianguo XuZhan Liu
- Journals
- Scientific Reports (2 papers)Frontiers in Psychiatry (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Sanzhong Li
36 papers receiving 902 citations
Peers
Comparison fields: 5 of 91
- Cancer Research 259
- Neurology 72
- Geriatrics and Gerontology 34
- Genetics 75
- Neurology 93
Countries citing papers authored by Sanzhong Li
This map shows the geographic impact of Sanzhong Li'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 Sanzhong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanzhong Li more than expected).
Fields of papers citing papers by Sanzhong Li
This network shows the impact of papers produced by Sanzhong Li. 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 Sanzhong Li. The network helps show where Sanzhong Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sanzhong Li, 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 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 25 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2021 | 23 | |
| 12 | 2017 | 83 | |
| 13 | 2015 | 11 | |
| 14 | 2014 | 4 | |
| 15 | 2014 | 19 | |
| 16 | 2014 | 65 | |
| 17 | 2013 | 16 | |
| 18 | 2012 | 23 | |
| 19 | 2012 | 111 | |
| 20 | 2007 | 110 |
About Sanzhong Li
Sanzhong Li is a scholar working on Cancer Research, Neurology and Immunology, having authored 37 papers that have together received 914 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (6 papers), Cancer-related molecular mechanisms research (5 papers), Extracellular vesicles in disease (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Transcranial Magnetic Stimulation Studies (3 papers), RNA modifications and cancer (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Cancer Research (259 citations), Neurology (72 citations) and Geriatrics and Gerontology (34 citations). Sanzhong Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qing-fang Jiao, Jing Zhao, Yongbo Zhao, Zhou Fei, Xiang Wang, Chao You, Jianguo Xu, Zhan Liu, Xiaohong Chen and Yuefan Yang. Their work appears in journals such as Scientific Reports, Frontiers in Psychiatry, Frontiers in Oncology, Molecular Therapy — Oncolytics and Journal of Autoimmunity.
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.