Pengyuan Yang

8.1k total citations · 3 hit papers
113 papers, 5.4k citations indexed

About

Pengyuan Yang is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Pengyuan Yang has authored 113 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 20 papers in Epidemiology and 17 papers in Cancer Research. Recurrent topics in Pengyuan Yang's work include Hepatitis B Virus Studies (14 papers), Advanced Proteomics Techniques and Applications (12 papers) and RNA modifications and cancer (12 papers). Pengyuan Yang is often cited by papers focused on Hepatitis B Virus Studies (14 papers), Advanced Proteomics Techniques and Applications (12 papers) and RNA modifications and cancer (12 papers). Pengyuan Yang collaborates with scholars based in China, United States and Hong Kong. Pengyuan Yang's co-authors include Yao‐Cheng Rui, Yun Zhang, Geoffrey J. Markowitz, Fei Lan, Yang Shi, Yujiang Geno Shi, Dong Xie, Qi-Jing Li, Ruitu Lv and Xiao-Fan Wang and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Pengyuan Yang

111 papers receiving 5.3k citations

Hit Papers

Zc3h13 Regulates Nuclear RNA m6A Methylation and ... 2012 2026 2016 2021 2018 2012 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengyuan Yang China 35 3.4k 1.7k 1.0k 816 525 113 5.4k
Salvatore Papa United States 28 2.7k 0.8× 1.5k 0.9× 1.0k 1.0× 889 1.1× 420 0.8× 51 4.5k
Xiaojie Lu China 34 2.1k 0.6× 1.1k 0.6× 613 0.6× 758 0.9× 518 1.0× 113 3.8k
Shengli Yang China 33 2.0k 0.6× 845 0.5× 480 0.5× 1.0k 1.3× 407 0.8× 167 4.0k
Yanfang Liu China 33 2.5k 0.7× 1.3k 0.8× 904 0.9× 824 1.0× 475 0.9× 206 4.4k
Concetta Bubici United States 21 2.2k 0.6× 1.1k 0.7× 822 0.8× 756 0.9× 341 0.6× 29 3.8k
Junnian Zheng China 38 3.6k 1.0× 1.7k 1.0× 1.2k 1.2× 1.9k 2.3× 255 0.5× 201 5.8k
Qiang Xia China 44 3.5k 1.0× 1.6k 0.9× 734 0.7× 769 0.9× 1.1k 2.0× 264 6.4k
Xiao‐Feng Zhu China 36 3.0k 0.9× 1.2k 0.7× 538 0.5× 1.0k 1.3× 1.1k 2.1× 145 5.1k
Rui Zhang China 49 5.9k 1.7× 4.1k 2.5× 672 0.7× 972 1.2× 514 1.0× 290 7.8k
Dae‐Yeul Yu South Korea 42 3.5k 1.0× 915 0.6× 886 0.9× 624 0.8× 842 1.6× 129 5.6k

Countries citing papers authored by Pengyuan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Pengyuan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengyuan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Pengyuan Yang. A scholar is included among the top collaborators of Pengyuan Yang 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 Pengyuan Yang. Pengyuan Yang 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.
Duan, Junfei, Pengyuan Yang, Huamin Hu, et al.. (2025). Substituent-induced microstructural modulation of epoxy resin-derived hard carbon for high-performance sodium-ion battery anodes. Chemical Engineering Journal. 508. 161184–161184. 9 indexed citations
2.
Gao, Yanan, Xuetao Huang, Yajing Hao, et al.. (2025). HBV-associated hepatocellular carcinomas inhibit antitumor CD8+ T cell via the long noncoding RNA HDAC2-AS2. Nature Communications. 16(1). 2055–2055. 5 indexed citations
3.
Duan, Junfei, Zhou Xu, Meng Li, et al.. (2025). Structure Regulation of Hard Carbon with Enriched Semi‐Closed Ultramicropores for Enhanced Rapid Sodium Storage. Advanced Functional Materials. 35(46). 16 indexed citations
4.
Yang, Wenlan, Kai Xu, Yu Zhou, et al.. (2023). Nsun2 coupling with RoRγt shapes the fate of Th17 cells and promotes colitis. Nature Communications. 14(1). 863–863. 30 indexed citations
5.
Gao, Xia, Ling Lin, Anqi Hu, et al.. (2022). Shotgun lipidomics combined targeted MRM reveals sphingolipid signatures of coronary artery disease. Talanta. 245. 123475–123475. 5 indexed citations
6.
Chen, Liang, Dawei Zhang, Peng Zhao, et al.. (2021). Single-cell epigenomic landscape of peripheral immune cells reveals establishment of trained immunity in individuals convalescing from COVID-19. Nature Cell Biology. 23(6). 620–630. 69 indexed citations
7.
Gao, Yanan, Geoffrey J. Markowitz, Jing Fu, et al.. (2021). Hepatitis B–Induced IL8 Promotes Hepatocellular Carcinoma Venous Metastasis and Intrahepatic Treg Accumulation. Cancer Research. 81(9). 2386–2398. 56 indexed citations
8.
Yang, Lujie, Hao Chen, Quanqing Zhang, et al.. (2021). Computational and Mass Spectrometry-Based Approach Identify Deleterious Non-Synonymous Single Nucleotide Polymorphisms (nsSNPs) in JMJD6. Molecules. 26(15). 4653–4653. 2 indexed citations
9.
Zhang, Cuiping, Zuojian Hu, Ke Wang, et al.. (2020). Lipidomic profiling of virus infection identifies mediators that resolve herpes simplex virus-induced corneal inflammatory lesions. The Analyst. 145(11). 3967–3976. 8 indexed citations
10.
11.
Wang, Dong, Yuhuan Luo, Xiaoxin Wang, et al.. (2018). The Sodium-Glucose Cotransporter 2 Inhibitor Dapagliflozin Prevents Renal and Liver Disease in Western Diet Induced Obesity Mice. International Journal of Molecular Sciences. 19(1). 137–137. 76 indexed citations
12.
Wen, Jing, Ruitu Lv, Honghui Ma, et al.. (2018). Zc3h13 Regulates Nuclear RNA m6A Methylation and Mouse Embryonic Stem Cell Self-Renewal. Molecular Cell. 69(6). 1028–1038.e6. 707 indexed citations breakdown →
13.
Markowitz, Geoffrey J., Pengyuan Yang, Jing Fu, et al.. (2016). Inflammation-Dependent IL18 Signaling Restricts Hepatocellular Carcinoma Growth by Enhancing the Accumulation and Activity of Tumor-Infiltrating Lymphocytes. Cancer Research. 76(8). 2394–2405. 42 indexed citations
14.
Ma, Chun, Violetta Karwacki-Neisius, Haoran Tang, et al.. (2016). Nono, a Bivalent Domain Factor, Regulates Erk Signaling and Mouse Embryonic Stem Cell Pluripotency. Cell Reports. 17(4). 997–1007. 33 indexed citations
15.
Wang, Pei, Tian‐Ying Xu, Yun‐Feng Guan, et al.. (2014). Vascular smooth muscle cell apoptosis is an early trigger for hypothyroid atherosclerosis. Cardiovascular Research. 102(3). 448–459. 60 indexed citations
16.
Zhao, Yanfeng, Su Qu, Xinwen Zhou, et al.. (2010). Proteomic analysis of primary duck hepatocytes infected with duck hepatitis B virus. Proteome Science. 8(1). 28–28. 12 indexed citations
17.
Zhang, Ting, Shuxun Liu, Pengyuan Yang, et al.. (2009). Fibronectin maintains survival of mouse natural killer (NK) cells via CD11b/Src/β-catenin pathway. Blood. 114(19). 4081–4088. 34 indexed citations
19.
Almofti, Mohamad Radwan, et al.. (2004). Comparative analysis of the proteome of left ventricular heart of arteriosclerosis in rat. Life Sciences. 75(26). 3103–3115. 18 indexed citations
20.
Yang, Pengyuan, Yao‐Cheng Rui, Youxin Jin, et al.. (2003). Antisense oligodeoxynucleotide inhibits vascular endothelial growth factor expression in U937 foam cells.. PubMed. 24(6). 610–4. 9 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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