Xuanyi Ma
- Biomedical Engineering top 0.5%
- Automotive Engineering top 0.5%
- Surgery top 5%
- Biomaterials top 2%
- Molecular Biology
- Co-authors
- Shaochen ChenWei ZhuMaling GouPengrui WangJustin LiuClaire YuCheuk Sun Edwin LaiKang Zhang
- Topics
- 3D Printing in Biomedical Research (13 papers)Additive Manufacturing and 3D Printing Technologies (9 papers)Innovative Microfluidic and Catalytic Techniques Innovation (5 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Xuanyi Ma
16 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Biomedical Engineering 2.9k
- Automotive Engineering 1.5k
- Surgery 595
- Biomaterials 519
- Molecular Biology 476
Countries citing papers authored by Xuanyi Ma
This map shows the geographic impact of Xuanyi Ma'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 Xuanyi Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuanyi Ma more than expected).
Fields of papers citing papers by Xuanyi Ma
This network shows the impact of papers produced by Xuanyi Ma. 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 Xuanyi Ma. The network helps show where Xuanyi Ma may publish in the future.
Co-authorship network of co-authors of Xuanyi Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Xuanyi Ma. A scholar is included among the top collaborators of Xuanyi Ma 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 Xuanyi Ma. Xuanyi Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Photopolymerizable Biomaterials and Light-Based 3D Printing Strategies for Biomedical Applicationsbreakdown → | 426 |
| 3 | 52 | |
| 4 | 105 | |
| 5 | 39 | |
| 6 | 60 | |
| 7 | 56 | |
| 8 | 51 | |
| 9 | 220 | |
| 10 | 226 | |
| 11 | 312 | |
| 12 | Direct 3D bioprinting of prevascularized tissue constructs with complex microarchitecturebreakdown → | 434 |
| 13 | 29 | |
| 14 | 3D printing of functional biomaterials for tissue engineeringbreakdown → | 648 |
| 15 | Deterministically patterned biomimetic human iPSC-derived hepatic model via rapid 3D bioprintingbreakdown → | 701 |
| 16 | 54 |
About Xuanyi Ma
Xuanyi Ma is a scholar working on Automotive Engineering, Biomedical Engineering and Obstetrics and Gynecology, having authored 16 papers that have together received 3.4k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (13 papers), Additive Manufacturing and 3D Printing Technologies (9 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (5 papers). The work is most often cited by research in Automotive Engineering (1.5k citations), Biomedical Engineering (2.9k citations) and Biomaterials (519 citations). Xuanyi Ma has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Shaochen Chen, Wei Zhu, Maling Gou, Pengrui Wang, Justin Liu, Claire Yu, Cheuk Sun Edwin Lai, Kang Zhang, Deqing Mei and Kathleen L. Miller. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Biomaterials.
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.