Shengfeng Chen

2.1k citations
51 papers · 1.5k · h-index 22

Impact in

Papers in

Shengfeng Chen

49 papers receiving 1.5k citations

Peers

Shengfeng Chen
Comparison fields: 5 of 132
  • Molecular Medicine 150
  • Biomaterials 263
  • Cellular and Molecular Neuroscience 257
  • Rehabilitation 83
  • Developmental Neuroscience 41
Replace Qiuxia Lin with:
Qiuxia Lin China
Xiaohong Wang China
Sun‐Jin Kim South Korea
Tao Chen China
Assaf Shapira Israel
Chun‐Ho Kim South Korea
Masahiro Kino‐oka Japan
Xiaozhao Wang China
Young Hyun Jung South Korea
Zhiwei Fang China
Shengfeng Chen relative to Qiuxia Lin China Qiuxia Lin's profile →
Citations per field
00.5×3.1×
Qiuxia Lin · 1×
Citations per year

Countries citing papers authored by Shengfeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shengfeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shengfeng 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 Shengfeng Chen Line = papers co-authored together Shengfeng Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019302
2 202276
3 201870
4 201965
5 202063
6 200159
7 202158
8 201856
9 202156
10 200451
11 201048
12 202247
13 200147
14 201946
15 200342
16 202239
17 200937
18 201836
19 202236
20 201431

About Shengfeng Chen

Shengfeng Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Genetics and Mechanical Engineering, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Enzyme Structure and Function (5 papers), Industrial Vision Systems and Defect Detection (5 papers), Bacterial Genetics and Biotechnology (5 papers), RNA Interference and Gene Delivery (4 papers), Neuroscience and Neural Engineering (4 papers), Nerve injury and regeneration (4 papers) and Welding Techniques and Residual Stresses (3 papers). The work is most often cited by research in Molecular Medicine (150 citations), Biomaterials (263 citations), Cellular and Molecular Neuroscience (257 citations), Rehabilitation (83 citations) and Developmental Neuroscience (41 citations). Shengfeng Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Liumin He, Seeram Ramakrishna, Haiqian Liu, Rong Zhu, Nuan Chen, Qiao Xiao, Jianghui Liu, Jian Liu, Helen M. Berman and Richard H. Ebright. Their work appears in journals such as BMC Veterinary Research, Robotics and Computer-Integrated Manufacturing, Journal of Molecular Biology, Proteins Structure Function and Bioinformatics and ACS Applied Materials & Interfaces.

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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