Lingling Ou

1.8k total citations · 1 hit paper
32 papers, 1.3k citations indexed

About

Lingling Ou is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Lingling Ou has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Biomedical Engineering and 10 papers in Materials Chemistry. Recurrent topics in Lingling Ou's work include Graphene and Nanomaterials Applications (8 papers), Nanoparticles: synthesis and applications (5 papers) and Immunotherapy and Immune Responses (4 papers). Lingling Ou is often cited by papers focused on Graphene and Nanomaterials Applications (8 papers), Nanoparticles: synthesis and applications (5 papers) and Immunotherapy and Immune Responses (4 papers). Lingling Ou collaborates with scholars based in China, United States and Hong Kong. Lingling Ou's co-authors include Longquan Shao, Bin Song, Ting Sun, Jia Liu, Huimin Liang, Bin Deng, Xiaoli Feng, Renfa Lai, Shaoqiang Lin and Jia Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Chemical Engineering Journal.

In The Last Decade

Lingling Ou

29 papers receiving 1.2k citations

Hit Papers

Toxicity of graphene-family nanoparticles: a general revi... 2016 2026 2019 2022 2016 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
Lingling Ou China 15 696 550 304 175 134 32 1.3k
Luyao Sun China 24 491 0.7× 379 0.7× 350 1.2× 309 1.8× 111 0.8× 59 1.4k
Feiyang Jin China 19 496 0.7× 290 0.5× 404 1.3× 262 1.5× 160 1.2× 32 1.3k
Xinyu Gao China 22 330 0.5× 401 0.7× 357 1.2× 81 0.5× 70 0.5× 63 1.5k
Chanjuan Liu China 22 563 0.8× 286 0.5× 412 1.4× 191 1.1× 121 0.9× 64 1.7k
Massimiliano G. Bianchi Italy 23 386 0.6× 404 0.7× 583 1.9× 125 0.7× 101 0.8× 81 1.8k
Kazuma Higashisaka Japan 22 267 0.4× 439 0.8× 350 1.2× 228 1.3× 169 1.3× 84 1.3k
Qiqi Liu China 22 511 0.7× 567 1.0× 561 1.8× 210 1.2× 55 0.4× 53 1.5k
Bin Song China 17 771 1.1× 911 1.7× 402 1.3× 204 1.2× 71 0.5× 23 1.8k

Countries citing papers authored by Lingling Ou

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingling Ou

This figure shows the co-authorship network connecting the top 25 collaborators of Lingling Ou. A scholar is included among the top collaborators of Lingling 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 Lingling Ou. Lingling 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.
2.
Song, Jiankang, et al.. (2025). Effect of pre-strain on microstructure, mechanical properties and damping capacity of Al-Mg-Si delayed-aging alloy. Materials Science and Engineering A. 942. 148700–148700. 1 indexed citations
5.
Chen, Cai, et al.. (2025). The role of fibroblast-neutrophil crosstalk in the pathogenesis of inflammatory diseases: a multi-tissue perspective. Frontiers in Immunology. 16. 1588667–1588667. 2 indexed citations
6.
Wang, Leilei, Ting Zhang, Yanning Qian, et al.. (2025). Hypoxia-Induced VGF Promotes Cell Migration and Invasion in Prostate Cancer via the PI3K/Akt Axis. Frontiers in Bioscience-Landmark. 30(2). 25522–25522. 1 indexed citations
7.
Wu, Ying‐Ying, Ting Zhang, Leilei Wang, et al.. (2025). A novel lncRNA FLJ promotes castration resistance in prostate cancer through AR mediated autophagy. Journal of Translational Medicine. 23(1). 255–255.
8.
Gonçalves, Beatriz, et al.. (2024). Unveiling Therapeutic Opportunities with Melanoma Patient-derived Organoid Models. Journal of Visualized Experiments. 1 indexed citations
9.
Chen, Yi‐Chen, Xi Wang, Huanzi Lu, et al.. (2024). TCL1A-expressing B cells are critical for tertiary lymphoid structure formation and the prognosis of oral squamous cell carcinoma. Journal of Translational Medicine. 22(1). 477–477. 4 indexed citations
10.
Zhu, Jinjin, Huaishan Wang, Liyun Dong, et al.. (2024). Programmed Death Ligand-1 in Melanoma and Extracellular Vesicles Promotes Local and Regional Immune Suppression through M2-like Macrophage Polarization. American Journal Of Pathology. 195(2). 306–320. 2 indexed citations
11.
Wang, Zilin, Chengcheng Yin, Wenhuan Bu, et al.. (2024). Novel Carbon Quantum Dots Precisely Trigger Ferroptosis in Cancer Cells through Antioxidant Inhibition Synergistic Nanocatalytic Activity. ACS Applied Materials & Interfaces. 16(29). 37456–37467. 3 indexed citations
12.
Ou, Lingling, et al.. (2023). The construction and analysis of tricarboxylic acid cycle related prognostic model for cervical cancer. Frontiers in Genetics. 14. 1092276–1092276. 5 indexed citations
13.
Huang, Lili, Shujing Liu, Huaishan Wang, et al.. (2021). Targeting regulatory T cells for immunotherapy in melanoma. Molecular Biomedicine. 2(1). 11–11. 40 indexed citations
14.
Sun, Ting, et al.. (2020). Hepatic distribution and toxicity of zirconia nanoparticles in vivo and in vitro. Process Safety and Environmental Protection. 147. 134–145. 11 indexed citations
15.
Ou, Lingling, Yong Lan, Zhiqiang Feng, et al.. (2019). Functionalization of SF/HAP Scaffold with GO-PEI-miRNA inhibitor Complexes to Enhance Bone Regeneration through Activating Transcription Factor 4. Theranostics. 9(15). 4525–4541. 52 indexed citations
16.
Yang, Jing, Yun-Cheng Lv, Zhibo Zhao, et al.. (2019). A microRNA‑24‑to‑secretagogin regulatory pathway mediates cholesterol‑induced inhibition of insulin secretion. International Journal of Molecular Medicine. 44(2). 608–616. 5 indexed citations
17.
Ou, Lingling, Shaoqiang Lin, Bin Song, et al.. (2017). The mechanisms of graphene-based materials-induced programmed cell death: a review of apoptosis, autophagy, and programmed necrosis. International Journal of Nanomedicine. Volume 12. 6633–6646. 162 indexed citations
18.
Kang, Yiyuan, Jia Liu, Bin Song, et al.. (2016). Potential Links between Cytoskeletal Disturbances and Electroneurophysiological Dysfunctions Induced in the Central Nervous System by Inorganic Nanoparticles. Cellular Physiology and Biochemistry. 40(6). 1487–1505. 14 indexed citations
19.
Ou, Lingling, Bin Song, Huimin Liang, et al.. (2016). Toxicity of graphene-family nanoparticles: a general review of the origins and mechanisms. Particle and Fibre Toxicology. 13(1). 57–57. 614 indexed citations breakdown →
20.
Ou, Lingling, Ying Shi, Wenqi Dong, et al.. (2015). Kruppel-Like Factor KLF4 Facilitates Cutaneous Wound Healing by Promoting Fibrocyte Generation from Myeloid-Derived Suppressor Cells. Journal of Investigative Dermatology. 135(5). 1425–1434. 42 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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