Jing Xie
- Biomedical Engineering top 5%
- Molecular Biology
- Biomaterials top 2%
- Cell Biology top 5%
- Surgery
- Co-authors
- Min BaoWilhelm T. S. HuckAigars PiruskaBela Anand‐ApteMasahiko SugimotoYanzhong ZhangHuihua YuanXiangxin Lou
- Topics
- 3D Printing in Biomedical Research (9 papers)Cellular Mechanics and Interactions (8 papers)Mesenchymal stem cell research (7 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Jing Xie
94 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 146
- Biomedical Engineering 689
- Molecular Biology 668
- Biomaterials 474
- Cell Biology 422
- Surgery 261
Countries citing papers authored by Jing Xie
This map shows the geographic impact of Jing Xie'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 Jing Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Xie more than expected).
Fields of papers citing papers by Jing Xie
This network shows the impact of papers produced by Jing Xie. 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 Jing Xie. The network helps show where Jing Xie may publish in the future.
Co-authorship network of co-authors of Jing Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Xie. A scholar is included among the top collaborators of Jing Xie 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 Jing Xie. Jing Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 33 | |
| 9 | 21 | |
| 10 | 12 | |
| 11 | 15 | |
| 12 | 42 | |
| 13 | 21 | |
| 14 | Polypeptide from Chlamys farreri restores endoplasmic reticulum (ER) redox homeostasis, suppresses ER stress, and inhibits ER stress-induced apoptosis in ultraviolet B-irradiated HaCaT cells. | 3 |
| 15 | 27 | |
| 16 | Fabrication of Dex-Loaded Shape Memory Polymer Based Composite Nanofibers ：for Potential Bone Tissue Engineering | 3 |
| 17 | 5 | |
| 18 | 7 | |
| 19 | 12 | |
| 20 | VARIANTS IN THE APOE GENE ARE ASSOCIATED WITH IMPROVED TREATMENT OUTCOME FOLLOWING ANTI-VEGF THERAPY FOR NEOVASCULAR AMD | 3 |
About Jing Xie
Jing Xie is a scholar working on Biomaterials, Sensory Systems and Cell Biology, having authored 99 papers that have together received 2.2k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (9 papers), Cellular Mechanics and Interactions (8 papers) and Mesenchymal stem cell research (7 papers). The work is most often cited by research in Biomaterials (474 citations), Cell Biology (422 citations) and Biomedical Engineering (689 citations). Jing Xie has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Min Bao, Wilhelm T. S. Huck, Aigars Piruska, Bela Anand‐Apte, Masahiko Sugimoto, Yanzhong Zhang, Huihua Yuan, Xiangxin Lou, Dehong Yu and Chao Fang. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and PLoS ONE.
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.