Shuying Shen
- Molecular Biology top 5%
- Cancer Research top 1%
- Rheumatology top 2%
- Cell Biology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Topics
- Circular RNAs in diseases (31 papers)MicroRNA in disease regulation (22 papers)Cancer-related molecular mechanisms research (15 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shuying Shen
70 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 2.3k
- Cancer Research 1.4k
- Rheumatology 469
- Cell Biology 418
- Pulmonary and Respiratory Medicine 334
Countries citing papers authored by Shuying Shen
This map shows the geographic impact of Shuying Shen'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 Shuying Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuying Shen more than expected).
Fields of papers citing papers by Shuying Shen
This network shows the impact of papers produced by Shuying Shen. 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 Shuying Shen. The network helps show where Shuying Shen may publish in the future.
Co-authorship network of co-authors of Shuying Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Shuying Shen. A scholar is included among the top collaborators of Shuying Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuying Shen. Shuying Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 15 | |
| 10 | Stem cell–homing hydrogel-based miR-29b-5p delivery promotes cartilage regeneration by suppressing senescence in an osteoarthritis rat modelbreakdown → | 163 |
| 11 | 76 | |
| 12 | Circular RNA circTUBGCP3 Is Up-Regulated and Promotes Cell Proliferation, Migration and Survivability via Sponge mir-30b in Osteosarcoma | 2 |
| 13 | 64 | |
| 14 | Auranofin mitigates systemic iron overload and induces ferroptosis via distinct mechanismsbreakdown → | 216 |
| 15 | 26 | |
| 16 | 110 | |
| 17 | 42 | |
| 18 | 86 | |
| 19 | 92 | |
| 20 | 74 |
About Shuying Shen
Shuying Shen is a scholar working on Cancer Research, Rheumatology and Molecular Biology, having authored 72 papers that have together received 3.4k indexed citations. Recurring topics across this work include Circular RNAs in diseases (31 papers), MicroRNA in disease regulation (22 papers) and Cancer-related molecular mechanisms research (15 papers). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (2.3k citations) and Rheumatology (469 citations). Shuying Shen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yizheng Wu, Kangmao Huang, Yan Ma, Xiangqian Fang, Junxin Chen, Xingguo Gong, Ziang Xie, Shunwu Fan, Jianjun Ma and Yute Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.