Yiling Shi
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Osteoarthritis Treatment and Mechanisms 4
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- Extracellular vesicles in disease 2
- Co-authors
- Xianfeng Lin (5 shared papers)Pengfei Chen (5 shared papers)Sheng Mei (4 shared papers)Lin Zheng (4 shared papers)Yiyun Wang (3 shared papers)Chen Xia (3 shared papers)Chenhui Gu (3 shared papers)Min Tao (2 shared papers)
- Journals
- Materials Science and Engineering C (1 paper)Biomaterials (1 paper)Biomaterials Science (1 paper)Free Radical Biology and Medicine (1 paper)Theranostics (1 paper)
- Partner nations
- China
In The Last Decade
Yiling Shi
7 papers receiving 791 citations
Yiling Shi's Hit Papers
Peers
Comparison fields: 5 of 59
- Rheumatology 228
- Cancer Research 183
- Orthopedics and Sports Medicine 89
- Pathology and Forensic Medicine 135
- Urology 45
Countries citing papers authored by Yiling Shi
This map shows the geographic impact of Yiling 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 Yiling Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiling Shi more than expected).
Fields of papers citing papers by Yiling Shi
This network shows the impact of papers produced by Yiling 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 Yiling Shi. The network helps show where Yiling Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiling 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 | Desktop-stereolithography 3D printing of a radially oriented extracellular matrix/mesenchymal stem cell exosome bioink for osteochondral defect regeneration Hit paper breakdown → | 2019 | 389 |
| 2 | Mesenchymal stem cell-derived exosomes ameliorate intervertebral disc degeneration via anti-oxidant and anti-inflammatory effects Hit paper breakdown → | 2019 | 246 |
| 3 | 2019 | 78 | |
| 4 | 2019 | 46 | |
| 5 | 2023 | 14 | |
| 6 | 2019 | 13 | |
| 7 | 2016 | 10 |
About Yiling Shi
Yiling Shi is a scholar working on Rheumatology, Molecular Biology, Surgery, Urology and Biomaterials, having authored 7 papers that have together received 796 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (4 papers), Tissue Engineering and Regenerative Medicine (2 papers), Extracellular vesicles in disease (2 papers), Periodontal Regeneration and Treatments (2 papers), Bone and Joint Diseases (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), Silk-based biomaterials and applications (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Rheumatology (228 citations), Cancer Research (183 citations), Orthopedics and Sports Medicine (89 citations), Pathology and Forensic Medicine (135 citations) and Urology (45 citations). Yiling Shi has collaborated with scholars based in China. Frequent co-authors include Xianfeng Lin, Pengfei Chen, Sheng Mei, Lin Zheng, Yiyun Wang, Chen Xia, Chenhui Gu, Min Tao, Pengcheng Qiu and Shunwu Fan. Their work appears in journals such as Materials Science and Engineering C, Biomaterials, Biomaterials Science, Free Radical Biology and Medicine and Theranostics.
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.