Shiyu Chen

5.6k total citations · 1 hit paper
169 papers, 4.0k citations indexed

About

Shiyu Chen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shiyu Chen has authored 169 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 23 papers in Cancer Research and 22 papers in Oncology. Recurrent topics in Shiyu Chen's work include Chemical Synthesis and Analysis (19 papers), Cancer-related molecular mechanisms research (13 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). Shiyu Chen is often cited by papers focused on Chemical Synthesis and Analysis (19 papers), Cancer-related molecular mechanisms research (13 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). Shiyu Chen collaborates with scholars based in China, United States and Switzerland. Shiyu Chen's co-authors include Christian Heinis, Huiya Zhang, Alessandro Angelini, Changhao Zhu, Zhiwei He, Florence Pojer, Julia Morales‐Sanfrutos, Jingjing Ji, Songqin Liu and Yanfei Shen and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Shiyu Chen

159 papers receiving 4.0k citations

Hit Papers

Cyclic peptide drugs approved in the last two decades (20... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shiyu Chen China 36 2.2k 580 550 506 390 169 4.0k
Min You United States 39 2.6k 1.2× 675 1.2× 336 0.6× 556 1.1× 144 0.4× 98 5.0k
Xiaohong Qian China 41 3.8k 1.8× 452 0.8× 386 0.7× 423 0.8× 356 0.9× 223 5.5k
Yun Chen China 33 2.3k 1.1× 692 1.2× 203 0.4× 672 1.3× 135 0.3× 164 3.9k
Xuan Huang China 40 2.3k 1.1× 743 1.3× 743 1.4× 887 1.8× 100 0.3× 119 4.4k
Johnny Tang Hong Kong 35 2.0k 0.9× 521 0.9× 543 1.0× 461 0.9× 530 1.4× 128 4.4k
Lesheng Teng China 43 2.6k 1.2× 417 0.7× 247 0.4× 448 0.9× 240 0.6× 166 5.4k
Aiping Tong China 38 2.3k 1.1× 1.5k 2.6× 231 0.4× 440 0.9× 211 0.5× 174 5.1k
Gu He China 44 3.0k 1.4× 551 0.9× 1.7k 3.1× 513 1.0× 116 0.3× 243 6.8k
Lihe Zhang China 45 4.2k 2.0× 391 0.7× 2.1k 3.7× 305 0.6× 265 0.7× 295 7.2k
Ziwei Huang United States 38 5.6k 2.6× 1.0k 1.8× 980 1.8× 441 0.9× 323 0.8× 146 7.6k

Countries citing papers authored by Shiyu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shiyu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shiyu Chen. A scholar is included among the top collaborators of Shiyu Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shiyu Chen. Shiyu Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Yanhua, et al.. (2025). Unraveling the impact of COVID‑19 on Beijing’s subway system using a causal machine learning analysis. Sustainable Cities and Society. 131. 106709–106709.
2.
Linciano, Sara, E.J. Will, Shiyu Chen, et al.. (2025). Screening macrocyclic peptide libraries by yeast display allows control of selection process and affinity ranking. Nature Communications. 16(1). 5367–5367. 2 indexed citations
3.
Dong, Hao, Shiyu Chen, Jing Han, et al.. (2024). Early prediction of long-term survival of patients with nasopharyngeal carcinoma by multi-parameter MRI radiomics. European Journal of Radiology Open. 12. 100543–100543. 6 indexed citations
4.
Chen, Shiyu, et al.. (2024). Skin microbiome and causal relationships in three dermatological diseases: Evidence from Mendelian randomization and Bayesian weighting. Skin Research and Technology. 30(9). e70035–e70035. 5 indexed citations
5.
Luo, Zhuanbo, Shiyu Chen, Ning Zhu, et al.. (2024). Relationship between systemic immune-inflammation index and long-term all-cause and cause-specific mortality among adult asthma patients: a population—based study. BMC Pulmonary Medicine. 24(1). 629–629. 2 indexed citations
6.
Wu, Zengnan, Yajing Zheng, Ling Lin, et al.. (2024). Open aerosol microfluidics enable orthogonal compartmentalized functionalization of hydrogel particles. Matter. 7(10). 3645–3657. 8 indexed citations
7.
Lan, Tong, Cheng Peng, Xiyuan Yao, et al.. (2024). Discovery of Thioether-Cyclized Macrocyclic Covalent Inhibitors by mRNA Display. Journal of the American Chemical Society. 146(34). 24053–24060. 11 indexed citations
8.
Zhang, Huiya, et al.. (2024). DNA encoded peptide library for SARS-CoV-2 3CL protease covalent inhibitor discovery and profiling. RSC Chemical Biology. 5(7). 691–702. 6 indexed citations
9.
Li, Jian, et al.. (2024). Bicyclic peptide-enhanced covalent inhibitor of SARS-CoV-2 3CL protease. SHILAP Revista de lepidopterología. 2(6). 719–733. 1 indexed citations
10.
Zheng, Yingxia, et al.. (2023). Prmt5 deficiency inhibits CD4+ T-cell Klf2/S1pr1 expression and ameliorates EAE disease. Journal of Neuroinflammation. 20(1). 183–183. 8 indexed citations
11.
Zhou, Bingqian, Zheyi Chen, Shiyu Chen, et al.. (2023). Prmt5 deficient mouse B cells display RNA processing complexity and slower colorectal tumor progression. European Journal of Immunology. 53(10). e2250226–e2250226. 6 indexed citations
14.
Hu, Rui, Bingqian Zhou, Zheyi Chen, et al.. (2022). PRMT5 Inhibition Promotes PD-L1 Expression and Immuno-Resistance in Lung Cancer. Frontiers in Immunology. 12. 722188–722188. 35 indexed citations
15.
Zheng, Yingxia, Han Li, Zheyi Chen, et al.. (2022). PD-L1+CD8+ T cells enrichment in lung cancer exerted regulatory function and tumor-promoting tolerance. iScience. 25(2). 103785–103785. 27 indexed citations
16.
Hulse‐Kemp, Amanda M., Hamed Bostan, Shiyu Chen, et al.. (2021). An anchored chromosome‐scale genome assembly of spinach improves annotation and reveals extensive gene rearrangements in euasterids. The Plant Genome. 14(2). e20101–e20101. 19 indexed citations
17.
Zhang, Huiya & Shiyu Chen. (2021). Cyclic peptide drugs approved in the last two decades (2001–2021). RSC Chemical Biology. 3(1). 18–31. 209 indexed citations breakdown →
18.
Chen, Shiyu, Wei Wang, & Enrico Zio. (2021). A Simulation-Based Multi-Objective Optimization Framework for the Production Planning in Energy Supply Chains. Energies. 14(9). 2684–2684. 4 indexed citations
19.
Li, Guicai, Qi Han, Liling Zhang, et al.. (2020). Construction of Dual-Biofunctionalized Chitosan/Collagen Scaffolds for Simultaneous Neovascularization and Nerve Regeneration. Research. 2020. 2603048–2603048. 51 indexed citations
20.
Chen, Shiyu, R. Gopalakrishnan, Fabrice Marger, et al.. (2014). Dithiol amino acids can structurally shape and enhance the ligand-binding properties of polypeptides. Nature Chemistry. 6(11). 1009–1016. 75 indexed citations

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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