Si Yu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- Extracellular vesicles in disease
- Metabolomics and Mass Spectrometry Studies
Papers in
-
- Extracellular vesicles in disease 3
- Natural product bioactivities and synthesis 2
- RNA modifications and cancer 2
- Surgery 6
- Co-authors
- Yongchang Zheng (8 shared papers)Yang Chen (3 shared papers)Haifeng Xu (3 shared papers)Yue Shi (2 shared papers)Junhua Zhang (1 shared paper)Jianhui Chen (1 shared paper)Huaxia Yang (1 shared paper)Zhixing Cao (6 shared papers)
- Journals
- Aging (2 papers)Analytical Cellular Pathology (2 papers)Nature Methods (1 paper)Natural Product Communications (1 paper)Biomedical Optics Express (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Si Yu
31 papers receiving 702 citations
Peers
Comparison fields: 5 of 96
- Cancer Research 258
- Molecular Biology 465
- Genetics 43
- Health Informatics 4
- Oral Surgery 21
Countries citing papers authored by Si Yu
This map shows the geographic impact of Si Yu'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 Si Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Yu more than expected).
Fields of papers citing papers by Si Yu
This network shows the impact of papers produced by Si Yu. 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 Si Yu. The network helps show where Si Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Si Yu, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 119 | |
| 2 | 2021 | 98 | |
| 3 | 2020 | 60 | |
| 4 | 2019 | 46 | |
| 5 | 2020 | 44 | |
| 6 | 2021 | 43 | |
| 7 | 2016 | 42 | |
| 8 | 2017 | 32 | |
| 9 | 2019 | 30 | |
| 10 | 2020 | 24 | |
| 11 | 2019 | 20 | |
| 12 | 2017 | 17 | |
| 13 | 2021 | 17 | |
| 14 | 2023 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2009 | 14 | |
| 17 | 2023 | 11 | |
| 18 | 2022 | 9 | |
| 19 | Tolerogenic semimature dendritic cells induce effector T-cell hyporesponsiveness by the activation of antigen-specific CD4+ CD25+ T-regulatory cells. | 2009 | 9 |
| 20 | 2021 | 7 |
About Si Yu
Si Yu is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 31 papers that have together received 707 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Ferroptosis and cancer prognosis (3 papers), Extracellular vesicles in disease (3 papers), Natural product bioactivities and synthesis (2 papers), T-cell and B-cell Immunology (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (258 citations), Molecular Biology (465 citations), Genetics (43 citations), Health Informatics (4 citations) and Oral Surgery (21 citations). Si Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yongchang Zheng, Yang Chen, Haifeng Xu, Yue Shi, Junhua Zhang, Jianhui Chen, Huaxia Yang, Zhixing Cao, P Liu and Zhaohui Lu. Their work appears in journals such as Aging, Analytical Cellular Pathology, Nature Methods, Natural Product Communications and Biomedical Optics Express.
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.