Yang Chen

5.8k total citations · 2 hit papers
149 papers, 3.5k citations indexed

About

Yang Chen is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Yang Chen has authored 149 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Molecular Biology, 14 papers in Cancer Research and 12 papers in Immunology. Recurrent topics in Yang Chen's work include Genomics and Chromatin Dynamics (22 papers), Bioinformatics and Genomic Networks (16 papers) and RNA Research and Splicing (13 papers). Yang Chen is often cited by papers focused on Genomics and Chromatin Dynamics (22 papers), Bioinformatics and Genomic Networks (16 papers) and RNA Research and Splicing (13 papers). Yang Chen collaborates with scholars based in China, United States and Japan. Yang Chen's co-authors include Qiang Hua, Kazuyuki Shimizu, Michael Q. Zhang, Jeffrey W. Smith, Andrei L. Osterman, Rong Xu, Adam Richardson, Shao Li, Minglei Shi and Taku Oshima and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yang Chen

139 papers receiving 3.4k citations

Hit Papers

Hyperspectral Imaging and Deep Learning for Quality and S... 2025 2026 2025 2025 5 10 15 20 25
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hyperspectral Imaging and Deep Learning for Quality and Safety Inspection of Fruits and Vegetables: A Review
    2025 26 citations Yang Chen et al. profile →
  2. Microneedle-Based Approaches for Skin Disease Treatment
    2025 18 citations Xiaoyu Qin, Chen Wang et al. Nano-Micro Letters profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Chen China 31 2.2k 426 301 283 252 149 3.5k
Lili Xu China 34 2.2k 1.0× 548 1.3× 455 1.5× 272 1.0× 155 0.6× 148 3.9k
Tae‐Hoon Lee South Korea 35 2.5k 1.2× 327 0.8× 490 1.6× 444 1.6× 329 1.3× 192 4.5k
Arnaud Droit Canada 36 2.1k 1.0× 468 1.1× 428 1.4× 523 1.8× 253 1.0× 183 3.8k
Yunping Zhu China 28 2.5k 1.2× 464 1.1× 402 1.3× 451 1.6× 147 0.6× 112 4.1k
Pedro Navarro Spain 17 3.0k 1.4× 227 0.5× 258 0.9× 204 0.7× 227 0.9× 26 4.3k
Yue Li China 31 1.4k 0.6× 538 1.3× 488 1.6× 295 1.0× 206 0.8× 199 3.3k
Young Sup Lee South Korea 34 1.9k 0.9× 425 1.0× 291 1.0× 317 1.1× 550 2.2× 108 4.5k
Matthew Chambers United States 22 4.3k 2.0× 264 0.6× 302 1.0× 326 1.2× 295 1.2× 46 5.9k
Gang� Li China 33 1.5k 0.7× 501 1.2× 533 1.8× 378 1.3× 203 0.8× 226 3.8k

Countries citing papers authored by Yang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Chen. A scholar is included among the top collaborators of Yang 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 Yang Chen. Yang 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.
Qin, Xiaoyu, Chen Wang, Xianyong Yin, et al.. (2025). Microneedle-Based Approaches for Skin Disease Treatment. Nano-Micro Letters. 17(1). 132–132. 18 indexed citations breakdown →
2.
Zhou, Xiaoli, Xiang Sun, Guangdong Chen, et al.. (2025). Physicochemical Properties and Biocompatibility of Injectable Hydroxyapatite Cement and Its Application in Compressive Tibial Plateau Fractures. Journal of Biomedical Materials Research Part B Applied Biomaterials. 113(4). e35565–e35565.
3.
Yuan, Hongyong, et al.. (2025). Shear-induced acoustic emission and energy evolution in granular-filled active waveguide. Results in Engineering. 26. 105079–105079. 2 indexed citations
4.
Saito, Keisuke, et al.. (2024). D1-Tyr246 and D2-Tyr244 in photosystem II: Insights into bicarbonate binding and electron transfer from QA•− to QB. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1866(1). 149507–149507.
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Liu, Zhicheng, Ying Cao, Xiaofang Zhang, et al.. (2023). Single-cell landscape of peripheral immune response in patients with anti-melanoma differentiation–associated gene 5 dermatomyositis. Lara D. Veeken. 63(8). 2284–2294. 12 indexed citations
8.
Guo, Li, et al.. (2023). The local density of H3K9me3 dictates the stability of HP1α condensates-mediated genomic interactions. Journal of genetics and genomics. 50(10). 776–785. 1 indexed citations
9.
Chen, Yang, Chiyuan Ma, Jing Liang, et al.. (2023). Simulated microgravity reduces quality of ovarian follicles and oocytes by disrupting communications of follicle cells. npj Microgravity. 9(1). 7–7. 15 indexed citations
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Zhu, Li, Shiyu Ma, Jingya Liu, et al.. (2022). Berberine alleviates NLRP3 inflammasome induced endothelial junction dysfunction through Ca2+ signalling in inflammatory vascular injury. Phytomedicine. 101. 154131–154131. 23 indexed citations
12.
Xu, Hui-Ling, et al.. (2022). Regulatory Part Engineering for High-Yield Protein Synthesis in an All-Streptomyces-Based Cell-Free Expression System. ACS Synthetic Biology. 11(2). 570–578. 22 indexed citations
13.
Yuan, Zhiyuan, Qiming Zhou, Lesi Cai, et al.. (2021). SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironment. Nature Methods. 18(10). 1223–1232. 98 indexed citations
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Yang, Lu, Fengling Chen, Haichuan Zhu, et al.. (2021). 3D genome alterations associated with dysregulated HOXA13 expression in high-risk T-lineage acute lymphoblastic leukemia. Nature Communications. 12(1). 3708–3708. 36 indexed citations
16.
Yu, Chunyu, Boyan Shen, Kaiqiang You, et al.. (2020). Proteome-scale analysis of phase-separated proteins in immunofluorescence images. Briefings in Bioinformatics. 22(3). 15 indexed citations
17.
Yu, Si, Guanqun Wang, Yue Shi, et al.. (2020). MCMs in Cancer: Prognostic Potential and Mechanisms. Analytical Cellular Pathology. 2020. 1–11. 60 indexed citations
18.
You, Kaiqiang, Qi Huang, Chunyu Yu, et al.. (2019). PhaSepDB: a database of liquid–liquid phase separation related proteins. Nucleic Acids Research. 48(D1). D354–D359. 148 indexed citations
19.
Zhang, Jianbin, Qiangqiang Nie, Chaozeng Si, et al.. (2019). Weighted Gene Co-expression Network Analysis for RNA-Sequencing Data of the Varicose Veins Transcriptome. PMC. 1 indexed citations
20.
Zheng, Yongchang, Yue Shi, Si Yu, et al.. (2019). GTSE1, CDC20, PCNA, and MCM6 Synergistically Affect Regulations in Cell Cycle and Indicate Poor Prognosis in Liver Cancer. Analytical Cellular Pathology. 2019. 1–13. 30 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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