Lailiang Ou

2.7k total citations
63 papers, 2.2k citations indexed

About

Lailiang Ou is a scholar working on Molecular Biology, Surgery and Biomaterials. According to data from OpenAlex, Lailiang Ou has authored 63 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Surgery and 14 papers in Biomaterials. Recurrent topics in Lailiang Ou's work include Tissue Engineering and Regenerative Medicine (10 papers), Mesenchymal stem cell research (9 papers) and Electrospun Nanofibers in Biomedical Applications (9 papers). Lailiang Ou is often cited by papers focused on Tissue Engineering and Regenerative Medicine (10 papers), Mesenchymal stem cell research (9 papers) and Electrospun Nanofibers in Biomedical Applications (9 papers). Lailiang Ou collaborates with scholars based in China, Germany and Canada. Lailiang Ou's co-authors include Deling Kong, Jixiang Zhang, Zhaokang Cheng, Xiaohua Jia, Yongzhe Che, Yamin Chai, Lina Mao, Wenyan Han, Xin Zhou and Yaoting Yu and has published in prestigious journals such as Advanced Materials, PLoS ONE and Biomaterials.

In The Last Decade

Lailiang Ou

60 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lailiang Ou China 25 673 655 555 483 454 63 2.2k
Debashish Roy United States 19 534 0.8× 1.1k 1.7× 283 0.5× 467 1.0× 520 1.1× 44 2.8k
Jie Tian China 30 923 1.4× 487 0.7× 226 0.4× 103 0.2× 467 1.0× 102 3.0k
Jialiang Wang China 27 1.1k 1.7× 274 0.4× 118 0.2× 253 0.5× 523 1.2× 81 2.8k
Loredana De Bartolo Italy 28 433 0.6× 647 1.0× 893 1.6× 88 0.2× 1.2k 2.6× 111 2.5k
Lin Xiang China 26 633 0.9× 176 0.3× 294 0.5× 105 0.2× 454 1.0× 88 2.1k
Kunal Patel United States 25 247 0.4× 252 0.4× 480 0.9× 264 0.5× 179 0.4× 97 1.8k
Paul Thevenot United States 22 559 0.8× 795 1.2× 488 0.9× 129 0.3× 1.1k 2.4× 57 3.5k
Teng Su China 28 1.3k 2.0× 822 1.3× 568 1.0× 127 0.3× 826 1.8× 57 3.1k
Chunxue Zhang China 22 440 0.7× 703 1.1× 135 0.2× 44 0.1× 467 1.0× 113 2.1k
Yuhua Gao China 25 404 0.6× 135 0.2× 245 0.4× 161 0.3× 197 0.4× 127 1.8k

Countries citing papers authored by Lailiang Ou

Since Specialization
Citations

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

Fields of papers citing papers by Lailiang Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lailiang Ou

This figure shows the co-authorship network connecting the top 25 collaborators of Lailiang Ou. A scholar is included among the top collaborators of Lailiang Ou 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 Lailiang Ou. Lailiang Ou 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.
Liu, Zhuang, Zibo Yang, Guixian Zhang, et al.. (2025). Computer-aided design of short peptide ligands targeting N-formyl peptide MT-ND6: potential application in treating severe inflammatory diseases. Journal of Materials Chemistry B. 13(18). 5380–5388. 1 indexed citations
2.
Guo, Xiaofang, Guo Chen, Jingxuan Yang, et al.. (2025). Pollen-inspired magnetic nanoparticles with dual-recognition sensing interfaces for intelligent-response modulation of circulating tumor cells capture and release. Biosensors and Bioelectronics. 290. 117932–117932.
5.
Chai, Yamin, Yanjia Zhang, Biao Wang, et al.. (2024). Cellulose acetate/metal–organic framework composite beads with macroporous adsorption channels as a novel hemoadsorbent for effective virus capture. Biomaterials Science. 12(19). 5091–5104. 1 indexed citations
6.
Zhang, Xiangyun, et al.. (2023). Antifouling modification for high-performance isolation of circulating tumor cells. Talanta. 266(Pt 2). 125048–125048.
7.
Ou, Lailiang, et al.. (2023). The development of immunosorbents for the treatment of systemic lupus erythematosus via hemoperfusion. Frontiers in Medicine. 9. 1035150–1035150. 2 indexed citations
8.
Zhang, Xiangyun, Guo Chen, Zhuang Liu, et al.. (2023). Genetically Engineered Cell Membrane‐Coated Magnetic Nanoparticles for High‐Performance Isolation of Circulating Tumor Cells. Advanced Functional Materials. 34(7). 27 indexed citations
9.
Chen, Jie, Leixiao Yu, Yan Li, et al.. (2019). Biospecific Monolayer Coating for Multivalent Capture of Circulating Tumor Cells with High Sensitivity. Advanced Functional Materials. 29(33). 40 indexed citations
10.
Han, Wenyan, Xiao Han, Yang Li, et al.. (2019). Facile modification of protein-imprinted polydopamine coatings over nanoparticles with enhanced binding selectivity. Chemical Engineering Journal. 385. 123463–123463. 53 indexed citations
11.
Chen, Jie, Jixue Sun, Wenyan Han, et al.. (2018). Computer-aided design of short peptide ligands targeting tumor necrosis factor-alpha for adsorbent applications. Journal of Materials Chemistry B. 6(26). 4368–4379. 8 indexed citations
12.
Chen, Jian, Wenyan Han, Jie Chen, et al.. (2016). High performance of a unique mesoporous polystyrene-based adsorbent for blood purification. Regenerative Biomaterials. 4(1). 31–37. 34 indexed citations
13.
Wang, Kai, Yong Guan, Yi Liu, et al.. (2012). Fibrin Glue with Autogenic Bone Marrow Mesenchymal Stem Cells for Urethral Injury Repair in Rabbit Model. Tissue Engineering Part A. 18(23-24). 2507–2517. 21 indexed citations
14.
Zhang, Jin, Xiaohua Jia, Xin Zhou, et al.. (2012). Improved mesenchymal stem cell survival in ischemic heart through electroacupuncture. Chinese Journal of Integrative Medicine. 19(8). 573–581. 9 indexed citations
15.
Liu, Xiaolei, Biyan Duan, Zhaokang Cheng, et al.. (2011). SDF-1/CXCR4 axis modulates bone marrow mesenchymal stem cell apoptosis, migration and cytokine secretion. Protein & Cell. 2(10). 845–854. 201 indexed citations
16.
Mao, Lina, et al.. (2011). Conjugation of two complementary anti-cancer drugs confers molecular hydrogels as a co-delivery system. Chemical Communications. 48(3). 395–397. 107 indexed citations
17.
Wang, Weiwei, Wenzhong Li, Lailiang Ou, et al.. (2010). Polyethylenimine-mediated gene delivery into human bone marrow mesenchymal stem cells from patients. Journal of Cellular and Molecular Medicine. 15(9). 1989–1998. 58 indexed citations
18.
Zhang, Yue, et al.. (2009). [Genetic modification of bone marrow mesenchymal stem cells with human CXCR4 gene and migration in vitro].. PubMed. 26(3). 595–600. 5 indexed citations
19.
Cheng, Zhaokang, Lailiang Ou, Xin Zhou, et al.. (2008). Targeted Migration of Mesenchymal Stem Cells Modified With CXCR4 Gene to Infarcted Myocardium Improves Cardiac Performance. Molecular Therapy. 16(3). 571–579. 355 indexed citations
20.
Cheng, Zhaokang, Lailiang Ou, Yi Liu, et al.. (2008). Granulocyte colony-stimulating factor exacerbates cardiac fibrosis after myocardial infarction in a rat model of permanent occlusion. Cardiovascular Research. 80(3). 425–434. 23 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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