Zhaohui Chen
- Biomedical Engineering top 10%
- Molecular Biology
- Neurology top 5%
- Cellular and Molecular Neuroscience
- Electrical and Electronic Engineering
- Co-authors
- Samuel SancesMichael J. WorkmanCarolina LucchesiNorman WenMagdalena KasendraRiccardo BarrileJennifer E. Van EykGad D. Vatine
- Topics
- Composite Structure Analysis and Optimization (3 papers)GaN-based semiconductor devices and materials (3 papers)Innovative concrete reinforcement materials (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Zhaohui Chen
19 papers receiving 676 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Biomedical Engineering 361
- Molecular Biology 154
- Neurology 153
- Cellular and Molecular Neuroscience 114
- Electrical and Electronic Engineering 93
Countries citing papers authored by Zhaohui Chen
This map shows the geographic impact of Zhaohui Chen'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 Zhaohui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaohui Chen more than expected).
Fields of papers citing papers by Zhaohui Chen
This network shows the impact of papers produced by Zhaohui Chen. 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 Zhaohui Chen. The network helps show where Zhaohui Chen may publish in the future.
Co-authorship network of co-authors of Zhaohui Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaohui Chen. A scholar is included among the top collaborators of Zhaohui Chen 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 Zhaohui Chen. Zhaohui Chen 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 44 | |
| 9 | Human iPSC-Derived Blood-Brain Barrier Chips Enable Disease Modeling and Personalized Medicine Applicationsbreakdown → | 438 |
| 10 | 9 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 54 | |
| 16 | 21 | |
| 17 | 0 | |
| 18 | 42 | |
| 19 | 2 | |
| 20 | 3 |
About Zhaohui Chen
Zhaohui Chen is a scholar working on Civil and Structural Engineering, Condensed Matter Physics and Mechanics of Materials, having authored 23 papers that have together received 691 indexed citations. Recurring topics across this work include Composite Structure Analysis and Optimization (3 papers), GaN-based semiconductor devices and materials (3 papers) and Innovative concrete reinforcement materials (3 papers). The work is most often cited by research in Neurology (153 citations), Developmental Neuroscience (34 citations) and Biomedical Engineering (361 citations). Zhaohui Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Samuel Sances, Michael J. Workman, Carolina Lucchesi, Norman Wen, Magdalena Kasendra, Riccardo Barrile, Jennifer E. Van Eyk, Gad D. Vatine, Clive N. Svendsen and Weston Spivia. Their work appears in journals such as Cell stem cell, Construction and Building Materials and Energy Conversion and Management.
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.