Deyu Chen

1.9k citations
54 papers · 1.5k · h-index 24

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
    • Immune cells in cancer
  • Physiology top 5%

Papers in

Deyu Chen

53 papers receiving 1.5k citations

Peers

Deyu Chen
Comparison fields: 5 of 113
  • Immunology 293
  • Physiology 58
  • Surgery 486
  • Pathology and Forensic Medicine 192
  • Process Chemistry and Technology 26
Replace Yi‐Fang Zhao with:
Yi‐Fang Zhao China
Brian Scharf United States
Shigeo Matsui Japan
Huajian Teng China
Dai Yamanouchi United States
Yong Hou China
Bingyan Wang China
Zhaoyuan Liu China
Francesco Grassi Italy
Deyu Chen relative to Yi‐Fang Zhao China Yi‐Fang Zhao's profile →
Citations per field
00.5×8.3×
Yi‐Fang Zhao · 1×
Citations per year

Countries citing papers authored by Deyu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Deyu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008127
2 2014110
3 2019101
4 201892
5 202191
6 201762
7 201555
8 202255
9 200751
10 200751
11 201242
12 202238
13 201537
14 201834
15 200233
16 201631
17 201428
18 201126
19 201826
20 201824

About Deyu Chen

Deyu Chen is a scholar working on Surgery, Molecular Biology, Immunology, Biomaterials and Pathology and Forensic Medicine, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cervical and Thoracic Myelopathy (10 papers), Immune Cell Function and Interaction (6 papers), Calcium Carbonate Crystallization and Inhibition (4 papers), Ubiquitin and proteasome pathways (3 papers), Underwater Vehicles and Communication Systems (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Optical Wireless Communication Technologies (3 papers). The work is most often cited by research in Immunology (293 citations), Physiology (58 citations), Surgery (486 citations), Pathology and Forensic Medicine (192 citations) and Process Chemistry and Technology (26 citations). Deyu Chen has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include Xu Wang, Wen Yuan, Xuhua Lu, Yu Chen, Xinwei Wang, Yuepeng Zhou, Haisong Yang, Yongfei Guo, Shuzhou Wang and Lili Yang. Their work appears in journals such as European Spine Journal, Frontiers in Immunology, Journal of Cellular and Molecular Medicine, Journal of Spinal Disorders & Techniques and Spine.

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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