Zhuang Yu

5.7k total citations · 1 hit paper
144 papers, 2.4k citations indexed

About

Zhuang Yu is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Zhuang Yu has authored 144 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 38 papers in Oncology and 34 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Zhuang Yu's work include Lung Cancer Treatments and Mutations (18 papers), Lung Cancer Research Studies (12 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Zhuang Yu is often cited by papers focused on Lung Cancer Treatments and Mutations (18 papers), Lung Cancer Research Studies (12 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Zhuang Yu collaborates with scholars based in China, United States and Australia. Zhuang Yu's co-authors include Lianhua Cui, Guoliang Hu, Haijiao Lu, Pengfei Ma, Yujie Fu, Guanglei Zhuang, Minjiang Chen, Mei‐Chun Cai, Xiaojing Zhao and Jing Wang and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Zhuang Yu

136 papers receiving 2.3k citations

Hit Papers

iMLGAM: Integrated Machine Learning and Genetic Algorithm... 2025 2026 2025 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhuang Yu China 28 1.3k 543 429 428 344 144 2.4k
Chia‐Yang Li Taiwan 27 1.4k 1.1× 522 1.0× 225 0.5× 377 0.9× 378 1.1× 103 2.4k
Grazia Serino Italy 27 1.1k 0.8× 566 1.0× 201 0.5× 373 0.9× 412 1.2× 72 2.3k
Haiyu Zhang China 30 1.5k 1.2× 506 0.9× 399 0.9× 233 0.5× 212 0.6× 90 2.9k
Ying He China 27 1.6k 1.2× 398 0.7× 449 1.0× 259 0.6× 227 0.7× 129 2.9k
Jiao Liu China 27 1.6k 1.2× 666 1.2× 211 0.5× 644 1.5× 276 0.8× 108 2.8k
Sung‐Kwon Moon South Korea 30 1.5k 1.2× 479 0.9× 314 0.7× 194 0.5× 304 0.9× 98 3.1k
Yueshui Zhao China 33 1.5k 1.2× 618 1.1× 715 1.7× 328 0.8× 502 1.5× 116 3.3k
Ling Jiang China 25 1.4k 1.1× 379 0.7× 426 1.0× 268 0.6× 193 0.6× 76 2.5k
Guifang Yan China 15 1.0k 0.8× 585 1.1× 589 1.4× 392 0.9× 703 2.0× 29 2.5k

Countries citing papers authored by Zhuang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Zhuang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuang Yu. A scholar is included among the top collaborators of Zhuang Yu 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 Zhuang Yu. Zhuang Yu 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.
Yu, Zhuang, Tao Zhang, Gao‐Feng Han, et al.. (2025). Organic photovoltaics: determining the impact of the 1-chloronaphthalene additive in the PM6:Y6 blends from multi-scale simulations. 1(6). 1017–1029. 1 indexed citations
2.
Ye, Bicheng, Jun Fan, Lei Xue, et al.. (2025). iMLGAM: Integrated Machine Learning and Genetic Algorithm‐driven Multiomics analysis for pan‐cancer immunotherapy response prediction. iMeta. 4(2). e70011–e70011. 57 indexed citations breakdown →
3.
Lü, Xin, Zhuang Yu, Tingyu Wu, et al.. (2024). The unexpected PD-L1 suppression function of celery-derived extracellular vesicles improves lung cancer chemotherapy efficacy. PubMed. 5(4). 697–713. 8 indexed citations
4.
Cai, Mei‐Chun, Jin Liu, Pengfei Ma, et al.. (2024). YY1 downregulation underlies therapeutic response to molecular targeted agents. Cell Death and Disease. 15(11). 862–862. 3 indexed citations
5.
Lü, Xin, et al.. (2024). Real‐time monitoring of small extracellular vesicles (sEVs) by in vivo flow cytometry. Journal of Extracellular Vesicles. 13(10). e70003–e70003. 4 indexed citations
6.
Yu, Zhuang, et al.. (2024). Examining the Impact of 3D Multi‐Arm Small Molecules on PM6 : Y6 Blend Reveals the Key Requirements for Their Electronic Properties. Angewandte Chemie International Edition. 64(6). e202418225–e202418225. 4 indexed citations
7.
Tao, Lvyan, Tiesong Zhang, Xiaoning Liu, et al.. (2023). Epstein–Barr virus downregulates the α7 nicotinic acetylcholine receptor of CD8+ T lymphocytes might associate with coronary artery lesions in Kawasaki disease patients. Microbes and Infection. 25(7). 105168–105168. 4 indexed citations
8.
Yu, Zhuang, et al.. (2023). Exploring the potential common denominator pathogenesis of system lupus erythematosus with COVID-19 based on comprehensive bioinformatics analysis. Frontiers in Immunology. 14. 1179664–1179664. 3 indexed citations
9.
Zhou, Changming, Xiaoquan Guo, Cheng Huang, et al.. (2022). Preparation of a JAZF1 protein polyclonal antibody and its potential role in broiler ascites syndrome. International Journal of Biological Macromolecules. 206. 501–510. 5 indexed citations
10.
Wang, Xueting, Rui Li, Jing Wang, et al.. (2022). Hsa_circ_0001666 promotes non-small cell lung cancer migration and invasion through miR-1184/miR-548I/AGO1 axis. Molecular Therapy — Oncolytics. 24. 597–611. 19 indexed citations
11.
Shi, Kaixuan, Haijiao Lu, Zhenfeng Zhang, et al.. (2022). Transient targeting of BIM-dependent adaptive MCL1 preservation enhances tumor response to molecular therapeutics in non-small cell lung cancer. Cell Death and Differentiation. 30(1). 195–207. 7 indexed citations
12.
Guo, Xiaoquan, Pei Liu, Yulan Zhao, et al.. (2021). Correlation between acute brain injury and brain metabonomics in dichlorvos-poisoned broilers. Journal of Hazardous Materials. 422. 126849–126849. 16 indexed citations
13.
Tong, Yao, Zhuang Yu, Zhixia Chen, et al.. (2021). The HIV protease inhibitor Saquinavir attenuates sepsis-induced acute lung injury and promotes M2 macrophage polarization via targeting matrix metalloproteinase-9. Cell Death and Disease. 12(1). 67–67. 33 indexed citations
14.
Zhou, Xihong, Bin Han, Zhuang Yu, et al.. (2020). Regioisomeric and enantiomeric analysis of primary triglycerides in human milk by silver ion and chiral HPLC atmospheric pressure chemical ionization-MS. Journal of Dairy Science. 103(9). 7761–7774. 30 indexed citations
16.
Wang, Meiwei, Huijun Huang, Yiting Liu, et al.. (2020). Effects of dietary supplementation with herbal extract mixture on growth performance, organ weight and intestinal morphology in weaning piglets. Journal of Animal Physiology and Animal Nutrition. 104(5). 1462–1470. 23 indexed citations
17.
Lu, Haijiao, Shengzhe Zhang, Jie Wu, et al.. (2018). Molecular Targeted Therapies Elicit Concurrent Apoptotic and GSDME-Dependent Pyroptotic Tumor Cell Death. Clinical Cancer Research. 24(23). 6066–6077. 204 indexed citations
18.
An, Ning, Zhuang Yu, & Xue Yang. (2018). Expression Differentiation Is Not Helpful in Identifying Prognostic Genes Based on TCGA Datasets. Molecular Therapy — Nucleic Acids. 11. 292–299. 12 indexed citations
19.
20.
Yu, Zhuang, et al.. (2016). Effect of cadmium on the concentration of ceruloplasmin and its mRNA expression in goats under molybdenum stress.. Pakistan Veterinary Journal. 36(2). 209–213. 7 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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