Deliang Shen
- Molecular Biology top 5%
- Surgery top 2%
- Biomaterials top 1%
- Biomedical Engineering top 5%
- Cancer Research top 5%
- Co-authors
- Ke ChengShiqi HuAdam C. VandergriffKe HuangJinying ZhangMichael Taylor HensleyEduardo MarbánZhenhua Li
- Topics
- Tissue Engineering and Regenerative Medicine (24 papers)Electrospun Nanofibers in Biomedical Applications (16 papers)Extracellular vesicles in disease (9 papers)
- Cited by
- BiomaterialsCancer ResearchSurgery
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Deliang Shen
70 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.5k
- Surgery 1.1k
- Biomaterials 851
- Biomedical Engineering 681
- Cancer Research 520
Countries citing papers authored by Deliang Shen
This map shows the geographic impact of Deliang 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 Deliang Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deliang Shen more than expected).
Fields of papers citing papers by Deliang Shen
This network shows the impact of papers produced by Deliang 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 Deliang Shen. The network helps show where Deliang Shen may publish in the future.
Co-authorship network of co-authors of Deliang Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Deliang Shen. A scholar is included among the top collaborators of Deliang 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 Deliang Shen. Deliang 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 | 7 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 15 | |
| 7 | 42 | |
| 8 | 5 | |
| 9 | Exosome-eluting stents for vascular healing after ischaemic injurybreakdown → | 161 |
| 10 | Tumor cell-derived exosomes home to their cells of origin and can be used as Trojan horses to deliver cancer drugsbreakdown → | 325 |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 311 | |
| 14 | 8 | |
| 15 | 26 | |
| 16 | 95 | |
| 17 | 90 | |
| 18 | 27 | |
| 19 | 65 | |
| 20 | Abstract 16688: Human Cardiosphere-Derived Cells Stimulate Cardiomyocyte Proliferation in vivo and in Co-Culture | 3 |
About Deliang Shen
Deliang Shen is a scholar working on Biomaterials, Surgery and Cancer Research, having authored 70 papers that have together received 3.0k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (24 papers), Electrospun Nanofibers in Biomedical Applications (16 papers) and Extracellular vesicles in disease (9 papers). The work is most often cited by research in Biomaterials (851 citations), Cancer Research (520 citations) and Surgery (1.1k citations). Deliang Shen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ke Cheng, Shiqi Hu, Adam C. Vandergriff, Ke Huang, Jinying Zhang, Michael Taylor Hensley, Eduardo Marbán, Zhenhua Li, Teng Su and Ke Cheng. Their work appears in journals such as Circulation, Nature Communications and Nano Letters.
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.