Feixiang Chen

32 papers receiving 610 citations

Peers

Feixiang Chen
Comparison fields: 5 of 99
  • Biomaterials 236
  • Rehabilitation 111
  • Molecular Medicine 46
  • Cellular and Molecular Neuroscience 158
  • Biomedical Engineering 178
Replace Ofra Ziv‐Polat with:
Ofra Ziv‐Polat Israel
Tingwang Guo China
Qing He China
Yan Zhuang China
Zan Tong China
Juin‐Hong Cherng Taiwan
Byeong‐Ju Kwon South Korea
Zhiping Qi China
Jin Jeon South Korea
Mahboubeh Kabiri Iran
Feixiang Chen relative to Ofra Ziv‐Polat Israel Ofra Ziv‐Polat's profile →
Citations per field
00.5×8.8×
Ofra Ziv‐Polat · 1×
Citations per year

Countries citing papers authored by Feixiang Chen

Since Specialization
Citations

This map shows the geographic impact of Feixiang Chen'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 Feixiang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feixiang Chen more than expected).

Fields of papers citing papers by Feixiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feixiang Chen. 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 Feixiang Chen. The network helps show where Feixiang Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Feixiang Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Feixiang Chen Line = papers co-authored together Feixiang Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202280
2 202173
3 202253
4 202241
5 202140
6 202031
7 202127
8 202025
9 201323
10 202023
11 202122
12 202020
13 202020
14 202220
15 202420
16 202213
17 202113
18 202411
19 201510
20 20149

About Feixiang Chen

Feixiang Chen is a scholar working on Surgery, Rehabilitation, Biomaterials, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 33 papers that have together received 611 indexed citations. Recurring topics across this work include Wound Healing and Treatments (8 papers), Nerve injury and regeneration (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Surgical Sutures and Adhesives (4 papers), Hemostasis and retained surgical items (4 papers), Advanced Nanomaterials in Catalysis (3 papers), Electrochemical sensors and biosensors (2 papers) and Graphene and Nanomaterials Applications (2 papers). The work is most often cited by research in Biomaterials (236 citations), Rehabilitation (111 citations), Molecular Medicine (46 citations), Cellular and Molecular Neuroscience (158 citations) and Biomedical Engineering (178 citations). Feixiang Chen has collaborated with scholars based in China, France and United States. Frequent co-authors include Yun Chen, Pengpeng Deng, Jinping Zhou, Ping Wu, Yanan Zhao, Zan Tong, Haodong Zhang, Céline Huselstein, Xulin Jiang and Yinping Li. Their work appears in journals such as International Journal of Biological Macromolecules, Frontiers in Bioengineering and Biotechnology, Biological Procedures Online, Acta Neuropathologica Communications and ACS Biomaterials Science & Engineering.

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.

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