Yongyu Shi
- Immunology top 5%
- Phagocytosis and Immune Regulation 8
- Immune Cell Function and Interaction 7
- Immune cells in cancer 7
- interferon and immune responses 6
- Immunotherapy and Immune Responses 6
- Cancer Research top 5%
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions 7
- Molecular Biology top 5%
- Cell death mechanisms and regulation 10
- Hepatology top 10%
-
- Autophagy in Disease and Therapy 8
- Co-authors
- Lining ZhangKatherine GalvinFaliang ZhuJianing WangChun GuoHuaiyu ZhouXiaoyan WangChristopher T. Walsh
- Cited by
- ImmunologyCancer ResearchOncology
- Journals
- Proceedings of the National Academy of Sciences (3 papers)SHILAP Revista de lepidopterología (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yongyu Shi
65 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 99
- Immunology 868
- Cancer Research 379
- Oncology 624
- Molecular Biology 1.3k
- Hepatology 93
Countries citing papers authored by Yongyu Shi
This map shows the geographic impact of Yongyu Shi'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 Yongyu Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongyu Shi more than expected).
Fields of papers citing papers by Yongyu Shi
This network shows the impact of papers produced by Yongyu Shi. 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 Yongyu Shi. The network helps show where Yongyu Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yongyu Shi, 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 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 10 | |
| 4 | 2021 | 22 | |
| 5 | 2021 | 26 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 18 | |
| 8 | 2018 | 46 | |
| 9 | 2017 | 32 | |
| 10 | 2017 | 66 | |
| 11 | 2016 | 51 | |
| 12 | Anthocyanins inhibit high-glucose-induced cholesterol accumulation and inflammation by activating LXRα pathway in HK-2 cells | 2015 | 7 |
| 13 | 2014 | 12 | |
| 14 | 2013 | 91 | |
| 15 | 2013 | 41 | |
| 16 | 2011 | 75 | |
| 17 | 2011 | 91 | |
| 18 | 2010 | 32 | |
| 19 | 2009 | 90 | |
| 20 | 2008 | 23 |
About Yongyu Shi
Yongyu Shi is a scholar working on Immunology, Oncology and Cancer Research, having authored 65 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (10 papers), Autophagy in Disease and Therapy (8 papers), Phagocytosis and Immune Regulation (8 papers), Immune Cell Function and Interaction (7 papers), Immune cells in cancer (7 papers), Cytokine Signaling Pathways and Interactions (7 papers), interferon and immune responses (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Immunology (868 citations), Cancer Research (379 citations) and Oncology (624 citations). Yongyu Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lining Zhang, Katherine Galvin, Faliang Zhu, Jianing Wang, Chun Guo, Huaiyu Zhou, Xiaoyan Wang, Chun Guo, Christopher T. Walsh and Yu‐Chen Fan. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.
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.