Zhou Yu

5.3k total citations · 1 hit paper
163 papers, 1.8k citations indexed

About

Zhou Yu is a scholar working on Surgery, Molecular Biology and Rehabilitation. According to data from OpenAlex, Zhou Yu has authored 163 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Surgery, 32 papers in Molecular Biology and 29 papers in Rehabilitation. Recurrent topics in Zhou Yu's work include Wound Healing and Treatments (27 papers), Dermatologic Treatments and Research (20 papers) and Mesenchymal stem cell research (13 papers). Zhou Yu is often cited by papers focused on Wound Healing and Treatments (27 papers), Dermatologic Treatments and Research (20 papers) and Mesenchymal stem cell research (13 papers). Zhou Yu collaborates with scholars based in China, United States and United Kingdom. Zhou Yu's co-authors include Zhen Yu, Xianjie Ma, Yajuan Song, Yingjun Su, Kai Wang, Zhaoxiang Zhang, Baoqiang Song, Huichen Li, Chenggang Yi and Chenggang Yi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Journal of Hazardous Materials.

In The Last Decade

Zhou Yu

138 papers receiving 1.8k citations

Hit Papers

Exosomes laden self-healing injectable hydrogel enhances ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhou Yu China 23 455 325 319 296 213 163 1.8k
Jürgen Brinckmann Germany 27 922 2.0× 366 1.1× 335 1.1× 246 0.8× 356 1.7× 65 2.8k
Yuval Rinkevich United States 21 1.2k 2.7× 491 1.5× 444 1.4× 225 0.8× 167 0.8× 43 2.5k
Sashank Reddy United States 19 747 1.6× 170 0.5× 442 1.4× 207 0.7× 102 0.5× 56 1.8k
Cinzia Marchese Italy 30 1.3k 2.9× 235 0.7× 370 1.2× 322 1.1× 334 1.6× 100 2.7k
Osvaldo Golisano Italy 10 818 1.8× 192 0.6× 178 0.6× 318 1.1× 188 0.9× 11 2.5k
Pamela D. Arora Canada 27 923 2.0× 196 0.6× 263 0.8× 227 0.8× 59 0.3× 33 2.5k
Noriko Koizumi Japan 56 1.5k 3.3× 213 0.7× 764 2.4× 226 0.8× 191 0.9× 174 9.0k
Raimund Wagener Germany 34 1.3k 2.9× 160 0.5× 368 1.2× 185 0.6× 73 0.3× 90 3.6k
Ernst Reichenberger United States 26 1.0k 2.3× 154 0.5× 227 0.7× 482 1.6× 363 1.7× 63 2.4k
Charles Lambert Belgium 28 814 1.8× 102 0.3× 304 1.0× 269 0.9× 213 1.0× 58 2.2k

Countries citing papers authored by Zhou Yu

Since Specialization
Citations

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

Fields of papers citing papers by Zhou Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhou Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhou Yu. A scholar is included among the top collaborators of Zhou 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 Zhou Yu. Zhou 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.
Zhao, Ying‐Yong, et al.. (2025). The mechanobiology of extracellular matrix: a focus on thrombospondins. Cell Communication and Signaling. 23(1). 354–354.
2.
Liu, Xiaowen, Zhou Yu, Wei Xue, et al.. (2025). A case-control study on the link between trace element exposure in follicular fluid and premature ovarian insufficiency. Reproductive Toxicology. 135. 108947–108947.
3.
Huang, Jinlan, Lijin Lin, Zhou Yu, et al.. (2025). Development and validation of a machine learning model based on laboratory parameters for preoperative prediction of Ki-67 expression in gliomas. Journal of neurosurgery. 143(2). 352–364.
4.
Wang, Jianzhang, Yuanyong Wang, Yajuan Song, et al.. (2024). CILP2 promotes hypertrophic scar through Snail acetylation by interaction with ACLY. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(5). 167202–167202. 3 indexed citations
5.
Wei, Zhao, et al.. (2024). Undifferentiated pleomorphic sarcoma of the adrenal gland: a case report and literature review. Frontiers in Oncology. 14. 1439357–1439357. 1 indexed citations
6.
Tan, Eunice X., Daniel Q. Huang, Z. H. Wan, et al.. (2024). Upper limit of normal ALT levels in health and metabolic diseases: Pooled analysis of 423,355 individuals with bootstrap modelling. Alimentary Pharmacology & Therapeutics. 59(8). 984–992. 4 indexed citations
7.
Hu, Yingkun, et al.. (2024). In-Depth Structural Simplification of Celangulin V: Design, Synthesis, and Biological Activity. Journal of Agricultural and Food Chemistry. 72(27). 15142–15150. 1 indexed citations
8.
Dong, Chen, et al.. (2024). Prediction model for haematoma after tissue expander placement: A retrospective cohort study of 7080 cases over 20 years. Journal of Plastic Reconstructive & Aesthetic Surgery. 91. 119–127. 1 indexed citations
9.
Liu, Wei, Yajuan Song, Yu Zhang, et al.. (2024). Activating autophagy promotes skin regeneration induced by mechanical stretch during tissue expansion. Burns & Trauma. 12. tkad057–tkad057. 5 indexed citations
10.
Zhang, Runtong, et al.. (2023). Impact of social media news on COVID-19 vaccine hesitancy and vaccination behavior. Telematics and Informatics. 80. 101983–101983. 17 indexed citations
11.
Song, Yajuan, et al.. (2023). Transcription factor c‐Maf drives macrophages to promote hypertrophic scar formation. Journal of Cosmetic Dermatology. 23(2). 639–647. 1 indexed citations
12.
Zhang, Yu, Yajuan Song, Wei Liu, et al.. (2023). S100 calcium-binding protein A9 promotes skin regeneration through toll-like receptor 4 during tissue expansion. Burns & Trauma. 11. tkad030–tkad030. 10 indexed citations
13.
Song, Yajuan, Junzheng Wu, Zhe Zhang, et al.. (2023). EGCG inhibits hypertrophic scar formation in a rabbit ear model. Journal of Cosmetic Dermatology. 22(4). 1382–1391. 6 indexed citations
14.
Zhang, Jing, Zhou Yu, & Jun Hu. (2022). A study of bionics micro-textures on the surface of HA bio-coatings prepared by nanosecond laser. Ceramics International. 49(8). 11999–12011. 9 indexed citations
15.
Chi, Hao, Gaoge Peng, Guo Chen, et al.. (2022). Characterization of coagulation-related gene signature to predict prognosis and tumor immune microenvironment in skin cutaneous melanoma. Frontiers in Oncology. 12. 975255–975255. 31 indexed citations
16.
Liang, Zhen, Jianzhang Wang, Yu Zheng, et al.. (2022). A Novel Necroptosis-Related Gene Signature in Skin Cutaneous Melanoma Prognosis and Tumor Microenvironment. Frontiers in Genetics. 13. 917007–917007. 36 indexed citations
17.
Yu, Zhou, et al.. (2020). Targeted Treatment of Colon Cancer with Aptamer-Guided Albumin Nanoparticles Loaded with Docetaxel. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Yu, Zhou, et al.. (2019). Healing physiology following delayed surgery for femoral midshaft fracture caused by high-energy injury: an in vivo study in dogs. Journal of International Medical Research. 47(10). 5155–5173. 2 indexed citations
19.
Yu, Zhou. (2009). On the ceremony in the courtyard regulation of Confucian's ethics mind. Shanxi Architecture. 2 indexed citations
20.
Yu, Zhou & Zhen Yu. (2000). CARBON STORAGE AND BUDGET OF MAJOR CHINESE FOREST TYPES. 155 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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