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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- Spine and Intervertebral Disc Pathology 9
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- 3D Printing in Biomedical Research 3
- Bone Tissue Engineering Materials 3
- 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)R. Geoff Richards (3 shared papers)
- Journals
- Advanced Science (2 papers)Diabetes & Metabolism (1 paper)World Neurosurgery (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Journal of Material Science and Technology (1 paper)
- Partner nations
- ChinaSwitzerlandNetherlands
In The Last Decade
Junxuan Ma
23 papers receiving 370 citations
Peers
Comparison fields: 5 of 85
- Pathology and Forensic Medicine 127
- Biomaterials 70
- Pharmacology 82
- Molecular Medicine 13
- Biomedical Engineering 103
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 | 57 | |
| 2 | 2019 | 47 | |
| 3 | 2017 | 40 | |
| 4 | 2019 | 40 | |
| 5 | 2019 | 34 | |
| 6 | 2019 | 25 | |
| 7 | 2020 | 18 | |
| 8 | 2018 | 15 | |
| 9 | 2009 | 14 | |
| 10 | 2017 | 13 | |
| 11 | 2001 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 2 |
About Junxuan Ma
Junxuan Ma is a scholar working on Pathology and Forensic Medicine, Biomedical Engineering, Surgery, Pharmacology and Physiology, having authored 23 papers that have together received 378 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (9 papers), Musculoskeletal pain and rehabilitation (5 papers), Pain Mechanisms and Treatments (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), 3D Printing in Biomedical Research (3 papers), Bone Tissue Engineering Materials (3 papers), Anesthesia and Pain Management (2 papers) and Cervical and Thoracic Myelopathy (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (127 citations), Biomaterials (70 citations), Pharmacology (82 citations), Molecular Medicine (13 citations) and Biomedical Engineering (103 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, R. Geoff Richards, Fei Yu and Ke Chen. Their work appears in journals such as Advanced Science, Diabetes & Metabolism, World Neurosurgery, Frontiers in Bioengineering and Biotechnology and Journal of Material Science and Technology.
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.