Ruyi Shi
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Cellular Mechanics and Interactions
Papers in
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- Melanoma and MAPK Pathways 3
- Circular RNAs in diseases 2
- FOXO transcription factor regulation 2
- Oncology 6
- Cancer Cells and Metastasis 2
- Co-authors
- Chao Fu (2 shared papers)Bin Song (5 shared papers)Pengzhou Kong (5 shared papers)Yanghui Bi (6 shared papers)Xiaolong Cheng (4 shared papers)Xiaodong Liu (1 shared paper)Miao Wang (1 shared paper)Caixia Cheng (5 shared papers)
- Journals
- International Journal of Medical Sciences (2 papers)Oncology Reports (2 papers)International Journal of Biological Macromolecules (1 paper)Cancer Cell International (1 paper)Gene (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ruyi Shi
19 papers receiving 252 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 76
- Cell Biology 39
- Molecular Biology 160
- Immunology and Allergy 12
- Oncology 47
Countries citing papers authored by Ruyi Shi
This map shows the geographic impact of Ruyi 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 Ruyi Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruyi Shi more than expected).
Fields of papers citing papers by Ruyi Shi
This network shows the impact of papers produced by Ruyi 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 Ruyi Shi. The network helps show where Ruyi Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruyi 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 | 2013 | 37 | |
| 2 | 2020 | 31 | |
| 3 | 2020 | 27 | |
| 4 | 2016 | 26 | |
| 5 | 2018 | 23 | |
| 6 | 2015 | 20 | |
| 7 | 2016 | 18 | |
| 8 | 2020 | 17 | |
| 9 | 2013 | 14 | |
| 10 | 2012 | 10 | |
| 11 | 2024 | 8 | |
| 12 | 2018 | 6 | |
| 13 | 2018 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 |
About Ruyi Shi
Ruyi Shi is a scholar working on Molecular Biology, Oncology, Cell Biology, Rheumatology and Cancer Research, having authored 19 papers that have together received 256 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Melanoma and MAPK Pathways (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Cancer Cells and Metastasis (2 papers), Cancer-related molecular mechanisms research (2 papers), Circular RNAs in diseases (2 papers), FOXO transcription factor regulation (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Cancer Research (76 citations), Cell Biology (39 citations), Molecular Biology (160 citations), Immunology and Allergy (12 citations) and Oncology (47 citations). Ruyi Shi has collaborated with scholars based in China and United States. Frequent co-authors include Chao Fu, Bin Song, Pengzhou Kong, Yanghui Bi, Xiaolong Cheng, Xiaodong Liu, Miao Wang, Caixia Cheng, Yang Liu and Hongqin Wang. Their work appears in journals such as International Journal of Medical Sciences, Oncology Reports, International Journal of Biological Macromolecules, Cancer Cell International and Gene.
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.