Bei Chang
Impact in
- Urology top 5%
- Periodontal Regeneration and Treatments
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Bone Tissue Engineering Materials 7
- 3D Printing in Biomedical Research 5
-
- Cellular Mechanics and Interactions 4
- Hippo pathway signaling and YAP/TAZ 3
- Co-authors
- Xiaohua Liu (10 shared papers)Chi Ma (7 shared papers)Neelam Ahuja (1 shared paper)Xiaohua Liu (1 shared paper)Dong He (1 shared paper)Qian Li (1 shared paper)Kathy K.H. Svoboda (2 shared papers)Yan Jing (3 shared papers)
- Journals
- Advanced Healthcare Materials (3 papers)Tissue Engineering Part B Reviews (2 papers)ACS Applied Materials & Interfaces (2 papers)Materials Science and Engineering R Reports (1 paper)Journal of Natural Gas Science and Engineering (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Bei Chang
21 papers receiving 602 citations
Peers
Comparison fields: 5 of 89
- Urology 99
- Biomaterials 199
- Molecular Medicine 52
- Oral Surgery 66
- Biomedical Engineering 297
Countries citing papers authored by Bei Chang
This map shows the geographic impact of Bei Chang'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 Bei Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Chang more than expected).
Fields of papers citing papers by Bei Chang
This network shows the impact of papers produced by Bei Chang. 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 Bei Chang. The network helps show where Bei Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 197 | |
| 2 | 2022 | 80 | |
| 3 | 2021 | 69 | |
| 4 | 2018 | 47 | |
| 5 | 2018 | 34 | |
| 6 | 2022 | 26 | |
| 7 | 2017 | 21 | |
| 8 | 2018 | 21 | |
| 9 | 2021 | 20 | |
| 10 | 2016 | 19 | |
| 11 | 2023 | 12 | |
| 12 | 2019 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2025 | 7 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2018 | 2 | |
| 20 | 2025 | 1 |
About Bei Chang
Bei Chang is a scholar working on Biomedical Engineering, Cell Biology, Molecular Biology, Biomaterials and Ocean Engineering, having authored 24 papers that have together received 604 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (7 papers), 3D Printing in Biomedical Research (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Cellular Mechanics and Interactions (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Drilling and Well Engineering (3 papers), Hydraulic Fracturing and Reservoir Analysis (3 papers) and Periodontal Regeneration and Treatments (3 papers). The work is most often cited by research in Urology (99 citations), Biomaterials (199 citations), Molecular Medicine (52 citations), Oral Surgery (66 citations) and Biomedical Engineering (297 citations). Bei Chang has collaborated with scholars based in China and United States. Frequent co-authors include Xiaohua Liu, Chi Ma, Neelam Ahuja, Xiaohua Liu, Dong He, Qian Li, Kathy K.H. Svoboda, Yan Jing, Yanmin Zhou and Yanlin Zhu. Their work appears in journals such as Advanced Healthcare Materials, Tissue Engineering Part B Reviews, ACS Applied Materials & Interfaces, Materials Science and Engineering R Reports and Journal of Natural Gas Science and Engineering.
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.