Cen Cao
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- Biomedical Engineering top 10%
- Bone Tissue Engineering Materials
- Advanced Sensor and Energy Harvesting Materials
- 3D Printing in Biomedical Research
- Graphene and Nanomaterials Applications
Papers in
-
- Planarian Biology and Electrostimulation 3
- Angiogenesis and VEGF in Cancer 2
-
- Bone Tissue Engineering Materials 4
- Graphene and Nanomaterials Applications 1
- Co-authors
- Lili Chen (6 shared papers)Xuliang Deng (5 shared papers)Xuehui Zhang (4 shared papers)Yang Shen (2 shared papers)Xiaohan Dai (1 shared paper)Yuanhua Lin (1 shared paper)Yun Liu (1 shared paper)Xing Liu (1 shared paper)
- Journals
- Advanced Science (1 paper)ACS Nano (1 paper)Advanced Functional Materials (1 paper)Advanced Materials (1 paper)Advanced Materials Interfaces (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Cen Cao
10 papers receiving 673 citations
Peers
Comparison fields: 5 of 75
- Biomaterials 157
- Biomedical Engineering 459
- Oral Surgery 26
- Cellular and Molecular Neuroscience 67
- Polymers and Plastics 48
Countries citing papers authored by Cen Cao
This map shows the geographic impact of Cen Cao'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 Cen Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cen Cao more than expected).
Fields of papers citing papers by Cen Cao
This network shows the impact of papers produced by Cen Cao. 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 Cen Cao. The network helps show where Cen Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Cen Cao, 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 | 2016 | 287 | |
| 2 | 2017 | 104 | |
| 3 | 2018 | 98 | |
| 4 | 2019 | 91 | |
| 5 | 2017 | 35 | |
| 6 | 2019 | 28 | |
| 7 | 2018 | 20 | |
| 8 | 2019 | 8 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 3 |
About Cen Cao
Cen Cao is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Cell Biology and Cancer Research, having authored 10 papers that have together received 677 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (4 papers), Planarian Biology and Electrostimulation (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Neuroscience and Neural Engineering (1 paper), Drilling and Well Engineering (1 paper), Graphene and Nanomaterials Applications (1 paper) and Digestive system and related health (1 paper). The work is most often cited by research in Biomaterials (157 citations), Biomedical Engineering (459 citations), Oral Surgery (26 citations), Cellular and Molecular Neuroscience (67 citations) and Polymers and Plastics (48 citations). Cen Cao has collaborated with scholars based in China and United States. Frequent co-authors include Lili Chen, Xuliang Deng, Xuehui Zhang, Yang Shen, Xiaohan Dai, Yuanhua Lin, Yun Liu, Xing Liu, Chenguang Zhang and Ke Wang. Their work appears in journals such as Advanced Science, ACS Nano, Advanced Functional Materials, Advanced Materials and Advanced Materials Interfaces.
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.