Changfeng Fu
Impact in
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- Spinal Cord Injury Research
- Spine and Intervertebral Disc Pathology
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Spine and Intervertebral Disc Pathology 17
- Spinal Cord Injury Research 7
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- Graphene and Nanomaterials Applications 4
- Co-authors
- Yuanliang Xia (12 shared papers)Hengyi Wang (12 shared papers)Jianxun Ding (11 shared papers)Yuehong Li (10 shared papers)Xuesi Chen (6 shared papers)Bo Shi (5 shared papers)Ruohan Yang (6 shared papers)Lesan Yan (2 shared papers)
- Journals
- Frontiers in Bioengineering and Biotechnology (7 papers)Medicine (5 papers)PLoS ONE (3 papers)Frontiers in Immunology (3 papers)Journal of Controlled Release (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Changfeng Fu
50 papers receiving 950 citations
Peers
Comparison fields: 5 of 87
- Pathology and Forensic Medicine 305
- Biomaterials 166
- Developmental Neuroscience 45
- Cellular and Molecular Neuroscience 201
- Genetics 71
Countries citing papers authored by Changfeng Fu
This map shows the geographic impact of Changfeng Fu'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 Changfeng Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changfeng Fu more than expected).
Fields of papers citing papers by Changfeng Fu
This network shows the impact of papers produced by Changfeng Fu. 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 Changfeng Fu. The network helps show where Changfeng Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Changfeng Fu, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 132 | |
| 2 | 2023 | 55 | |
| 3 | 2012 | 50 | |
| 4 | 2020 | 47 | |
| 5 | 2015 | 46 | |
| 6 | 2022 | 42 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 39 | |
| 9 | 2022 | 32 | |
| 10 | 2022 | 29 | |
| 11 | 2014 | 26 | |
| 12 | 2015 | 24 | |
| 13 | 2014 | 22 | |
| 14 | 2018 | 20 | |
| 15 | 2024 | 20 | |
| 16 | 2023 | 19 | |
| 17 | 2018 | 19 | |
| 18 | 2023 | 18 | |
| 19 | 2024 | 18 | |
| 20 | 2015 | 18 |
About Changfeng Fu
Changfeng Fu is a scholar working on Pathology and Forensic Medicine, Biomedical Engineering, Surgery, Cellular and Molecular Neuroscience and Biomaterials, having authored 51 papers that have together received 959 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (17 papers), Nerve injury and regeneration (9 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Spinal Cord Injury Research (7 papers), Musculoskeletal pain and rehabilitation (7 papers), Graphene and Nanomaterials Applications (4 papers), Pain Mechanisms and Treatments (3 papers) and Tendon Structure and Treatment (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (305 citations), Biomaterials (166 citations), Developmental Neuroscience (45 citations), Cellular and Molecular Neuroscience (201 citations) and Genetics (71 citations). Changfeng Fu has collaborated with scholars based in China and United States. Frequent co-authors include Yuanliang Xia, Hengyi Wang, Jianxun Ding, Yuehong Li, Xuesi Chen, Bo Shi, Ruohan Yang, Lesan Yan, Jayesh P. Thawani and Yang Luo. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Medicine, PLoS ONE, Frontiers in Immunology and Journal of Controlled Release.
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.