Junxuan Ma
Impact in
- Pathology and Forensic Medicine top 10%
- Spine and Intervertebral Disc Pathology
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- Electrospun Nanofibers in Biomedical Applications
- biodegradable polymer synthesis and properties
Papers in
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- 3D Printing in Biomedical Research 3
- Bone Tissue Engineering Materials 3
- Microfluidic and Bio-sensing Technologies 1
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- Spine and Intervertebral Disc Pathology 5
- Co-authors
- Mauro Alini (10 shared papers)Sibylle Grad (9 shared papers)Marianna Peroglio (7 shared papers)Jianzhong Bei (1 shared paper)Yazhong Bu (1 shared paper)Shenguo Wang (1 shared paper)Zhen Li (3 shared papers)Ke Chen (2 shared papers)
- Journals
- Advanced Science (2 papers)Biochemical Engineering Journal (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Materials Today Bio (1 paper)Biofabrication (1 paper)
- Partner nations
- ChinaSwitzerlandNetherlands
In The Last Decade
Junxuan Ma
23 papers receiving 385 citations
Peers
Comparison fields: 5 of 83
- Pathology and Forensic Medicine 111
- Biomaterials 74
- Pharmacology 63
- Molecular Medicine 14
- Biomedical Engineering 98
Countries citing papers authored by Junxuan Ma
This map shows the geographic impact of Junxuan 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 Junxuan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxuan Ma more than expected).
Fields of papers citing papers by Junxuan Ma
This network shows the impact of papers produced by Junxuan 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 Junxuan Ma. The network helps show where Junxuan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Junxuan Ma, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 61 | |
| 2 | 2019 | 47 | |
| 3 | 2019 | 42 | |
| 4 | 2017 | 40 | |
| 5 | 2019 | 35 | |
| 6 | 2019 | 25 | |
| 7 | 2020 | 18 | |
| 8 | 2018 | 17 | |
| 9 | 2009 | 16 | |
| 10 | 2017 | 14 | |
| 11 | 2001 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2023 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2016 | 6 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 2 |
About Junxuan Ma
Junxuan Ma is a scholar working on Biomedical Engineering, Pathology and Forensic Medicine, Surgery, Biomaterials and Pharmacology, having authored 23 papers that have together received 393 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (5 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), 3D Printing in Biomedical Research (3 papers), Bone Tissue Engineering Materials (3 papers), Pain Mechanisms and Treatments (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Pain Management and Treatment (1 paper) and Microfluidic and Bio-sensing Technologies (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (111 citations), Biomaterials (74 citations), Pharmacology (63 citations), Molecular Medicine (14 citations) and Biomedical Engineering (98 citations). Junxuan Ma has collaborated with scholars based in China, Switzerland and Netherlands. Frequent co-authors include Mauro Alini, Sibylle Grad, Marianna Peroglio, Jianzhong Bei, Yazhong Bu, Shenguo Wang, Zhen Li, Ke Chen, Wenhua Ling and Jianjing Lin. Their work appears in journals such as Advanced Science, Biochemical Engineering Journal, Frontiers in Bioengineering and Biotechnology, Materials Today Bio and Biofabrication.
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.