Kun Xi
Impact in
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
- Rehabilitation top 5%
- Wound Healing and Treatments
Papers in
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- Bone Tissue Engineering Materials 11
- Graphene and Nanomaterials Applications 8
- Nanoplatforms for cancer theranostics 7
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- Spinal Cord Injury Research 9
- Spine and Intervertebral Disc Pathology 8
- Co-authors
- Jincheng Tang (37 shared papers)Yong Gu (39 shared papers)Liang Chen (33 shared papers)Liang Wu (15 shared papers)Wenguo Cui (15 shared papers)Lianfu Deng (7 shared papers)Yichang Xu (22 shared papers)Feng Cai (16 shared papers)
In The Last Decade
Kun Xi
59 papers receiving 1.6k citations
Kun Xi's Hit Papers
Peers
Comparison fields: 5 of 102
- Biomaterials 437
- Rehabilitation 119
- Molecular Medicine 75
- Biomedical Engineering 676
- Pathology and Forensic Medicine 239
Countries citing papers authored by Kun Xi
This map shows the geographic impact of Kun Xi'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 Kun Xi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Xi more than expected).
Fields of papers citing papers by Kun Xi
This network shows the impact of papers produced by Kun Xi. 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 Kun Xi. The network helps show where Kun Xi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Xi, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 251 | |
| 2 | 2020 | 193 | |
| 3 | Modulation of Local Overactive Inflammation via Injectable Hydrogel Microspheres Hit paper breakdown → | 2021 | 192 |
| 4 | 2020 | 119 | |
| 5 | 2020 | 70 | |
| 6 | 2021 | 65 | |
| 7 | 2018 | 62 | |
| 8 | 2018 | 59 | |
| 9 | 2022 | 46 | |
| 10 | 2017 | 43 | |
| 11 | 2022 | 40 | |
| 12 | 2019 | 39 | |
| 13 | 2023 | 37 | |
| 14 | 2022 | 34 | |
| 15 | 2022 | 31 | |
| 16 | 2024 | 27 | |
| 17 | 2024 | 27 | |
| 18 | 2024 | 27 | |
| 19 | 2023 | 26 | |
| 20 | 2023 | 21 |
About Kun Xi
Kun Xi is a scholar working on Biomedical Engineering, Pathology and Forensic Medicine, Surgery, Molecular Biology and Cellular and Molecular Neuroscience, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (11 papers), Nerve injury and regeneration (10 papers), Spinal Cord Injury Research (9 papers), Spine and Intervertebral Disc Pathology (8 papers), Graphene and Nanomaterials Applications (8 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Mesenchymal stem cell research (7 papers) and Nanoplatforms for cancer theranostics (7 papers). The work is most often cited by research in Biomaterials (437 citations), Rehabilitation (119 citations), Molecular Medicine (75 citations), Biomedical Engineering (676 citations) and Pathology and Forensic Medicine (239 citations). Kun Xi has collaborated with scholars based in China, Portugal and Singapore. Frequent co-authors include Jincheng Tang, Yong Gu, Liang Chen, Liang Wu, Wenguo Cui, Lianfu Deng, Yichang Xu, Feng Cai, Hao Chen and Zhi-Jie Tan. Their work appears in journals such as Advanced Healthcare Materials, Chemical Engineering Journal, Advanced Functional Materials, Biophysical Journal and ACS Nano.
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.