Shujia Chen

29 papers receiving 346 citations

Peers

Shujia Chen
Comparison fields: 5 of 86
  • Cancer Research 69
  • Molecular Medicine 13
  • Safety, Risk, Reliability and Quality 22
  • Statistics, Probability and Uncertainty 13
  • Aerospace Engineering 44
Replace Ling Liao with:
Ling Liao China
Hassan A. Khalil United States
Zehao Liu China
Chunhao Lin China
Liangliang Pan China
Lu Deng China
Cheng Xiao China
Seong‐Jung Kim South Korea
Guanqing Wang China
Shujia Chen relative to Ling Liao China Ling Liao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shujia Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shujia Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202267
2 202334
3 202230
4 202327
5 201427
6 202225
7 202121
8 202413
9 202111
10 202311
11 202210
12 202110
13 20219
14 20228
15
Characterization of the m6A-related lncRNA signature in predicting prognosis and immune response in patients with colon cancer.
20227
16 20256
17 20216
18 20214
19 20184
20 20243

About Shujia Chen

Shujia Chen is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Aerospace Engineering and Biomedical Engineering, having authored 31 papers that have together received 348 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (6 papers), Ferroptosis and cancer prognosis (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Composite Structure Analysis and Optimization (2 papers), Gut microbiota and health (2 papers), Nonlocal and gradient elasticity in micro/nano structures (2 papers) and Fire dynamics and safety research (2 papers). The work is most often cited by research in Cancer Research (69 citations), Molecular Medicine (13 citations), Safety, Risk, Reliability and Quality (22 citations), Statistics, Probability and Uncertainty (13 citations) and Aerospace Engineering (44 citations). Shujia Chen has collaborated with scholars based in China and Singapore. Frequent co-authors include Lianyi Guo, Xiaofei Li, Ying‐Hui Zhu, Hu Liu, Ping Han, Peiyan Liu, Jia Li, Yuqiao Li, Haiyang Liao and Haiyan Zhang. Their work appears in journals such as Frontiers in Immunology, IEEE Robotics and Automation Letters, Engineering With Computers, Environmental Toxicology 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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