Lingling Wu

1.1k total citations
31 papers, 845 citations indexed

About

Lingling Wu is a scholar working on Biomedical Engineering, Molecular Biology and Oncology. According to data from OpenAlex, Lingling Wu has authored 31 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Lingling Wu's work include Nanoplatforms for cancer theranostics (9 papers), Bioactive Compounds and Antitumor Agents (2 papers) and Antimicrobial Peptides and Activities (2 papers). Lingling Wu is often cited by papers focused on Nanoplatforms for cancer theranostics (9 papers), Bioactive Compounds and Antitumor Agents (2 papers) and Antimicrobial Peptides and Activities (2 papers). Lingling Wu collaborates with scholars based in China, United States and Italy. Lingling Wu's co-authors include Daniel DiMaio, Edward C. Goodwin, Rosa Anna DeFilippis, Jun‐Ying Miao, Bao‐Xiang Zhao, Wen‐Liang Dong, Liang‐Wen Zheng, Hai‐Yu Hu, Qinghua Wang and Zhen Wang and has published in prestigious journals such as Journal of the American Chemical Society, Molecular and Cellular Biology and Journal of Virology.

In The Last Decade

Lingling Wu

29 papers receiving 830 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingling Wu China 15 338 199 176 151 131 31 845
Margot G. Paulick United States 12 784 2.3× 106 0.5× 275 1.6× 122 0.8× 118 0.9× 14 1.1k
Jinzi J. Wu United States 16 777 2.3× 78 0.4× 156 0.9× 175 1.2× 96 0.7× 41 1.2k
Caiqin Zhang China 20 346 1.0× 117 0.6× 66 0.4× 131 0.9× 159 1.2× 48 1.2k
Annamaria Sandomenico Italy 19 814 2.4× 62 0.3× 117 0.7× 241 1.6× 114 0.9× 82 1.3k
Vaibhav Jain India 23 763 2.3× 140 0.7× 178 1.0× 366 2.4× 48 0.4× 61 1.6k
Emmanuelle Merquiol Israel 16 456 1.3× 106 0.5× 45 0.3× 171 1.1× 141 1.1× 28 1.1k
Christophe Antczak United States 21 592 1.8× 59 0.3× 178 1.0× 305 2.0× 292 2.2× 44 1.3k
Aiqin Jiang China 17 311 0.9× 127 0.6× 217 1.2× 123 0.8× 41 0.3× 39 884
Mark E. Johnson United States 20 693 2.1× 156 0.8× 161 0.9× 256 1.7× 80 0.6× 32 1.8k
Janis de la Iglesia-Vicente Spain 15 592 1.8× 102 0.5× 181 1.0× 214 1.4× 24 0.2× 19 1.0k

Countries citing papers authored by Lingling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingling Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Lingling Wu. A scholar is included among the top collaborators of Lingling Wu 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 Wu. Lingling Wu 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.
Wu, Lingling, Yan‐an Yao, Xiaoying Jiang, et al.. (2025). Rapid Detection of <em>Helicobacter pylori</em> Virulence and Typing Using Quantum Dot Labeling Technology. Journal of Visualized Experiments.
2.
Liu, Yang, Leilei Zhang, Kaixuan Liu, Lingling Wu, & Hai‐Yu Hu. (2024). Penicillin G acylase-responsive near-infrared fluorescent probe: Unravelling biofilm regulation and combating bacterial infections. Chinese Chemical Letters. 35(11). 109759–109759. 7 indexed citations
4.
Zhou, Li, et al.. (2024). Understanding precipitation concentration changes, driving factors, and responses to global warming across mainland China. Journal of Hydrology. 645. 132164–132164. 12 indexed citations
5.
Chen, Yongyi, Lingling Wu, Qingyang Zhang, et al.. (2024). A self-immobilizing near-infrared fluorogenic probe for in vivo imaging of fibroblast activation protein-α. Talanta. 278. 126475–126475. 5 indexed citations
7.
Li, Qin, Lingling Wu, Yimin Yang, et al.. (2023). Functional targeted therapy for glioma based on platelet membrane-coated nanogels. Cancer Nanotechnology. 14(1). 13 indexed citations
8.
Xu, Shengnan, Lingling Wu, Xiang Wang, & Hai‐Yu Hu. (2023). Progress and challenges: Responsive long-lived organic luminescent probes for biosensing and bioimaging. TrAC Trends in Analytical Chemistry. 169. 117356–117356. 12 indexed citations
9.
Wu, Lingling, Qingyang Zhang, Feiya Yang, et al.. (2023). Heavy-atom engineered hypoxia-responsive probes for precisive photoacoustic imaging and cancer therapy. Chinese Chemical Letters. 35(4). 108663–108663. 8 indexed citations
10.
Wu, Lingling, et al.. (2023). Polymyxin-based fluorescent probes to combat Gram-negative antimicrobial resistance. Talanta. 260. 124576–124576. 3 indexed citations
11.
Chen, Huijuan, Lingling Wu, Hong Wang, et al.. (2022). Accuracy of Ultrasound Diagnosis of Thyroid Nodules Based on Artificial Intelligence-Assisted Diagnostic Technology: A Systematic Review and Meta-Analysis. International Journal of Endocrinology. 2022. 1–13. 17 indexed citations
12.
Wu, Lingling, Qin Li, Junjie Deng, et al.. (2021). Platelet-Tumor Cell Hybrid Membrane-Camouflaged Nanoparticles for Enhancing Therapy Efficacy in Glioma. International Journal of Nanomedicine. Volume 16. 8433–8446. 47 indexed citations
13.
Li, Kaiqiang, Lingling Wu, Yili Chen, et al.. (2020). <p>Cytotoxic and Antiproliferative Effects of β-Mangostin on Rat C6 Glioma Cells Depend on Oxidative Stress Induction via PI3K/AKT/mTOR Pathway Inhibition</p>. Drug Design Development and Therapy. Volume 14. 5315–5324. 20 indexed citations
14.
Wu, Yue, Ziwei Dai, Haili Wang, et al.. (2020). Serum 14-3-3η is a Marker that Complements Current Biomarkers for the Diagnosis of RA: Evidence from a Meta-analysis. Immunological Investigations. 51(1). 182–198. 7 indexed citations
15.
Shen, Hao, Haiyan Shi, Lingling Wu, et al.. (2020). MiR-221/222 promote migration and invasion, and inhibit autophagy and apoptosis by modulating ATG10 in aggressive papillary thyroid carcinoma. 3 Biotech. 10(8). 339–339. 16 indexed citations
16.
Wu, Lingling, et al.. (2019). [Refractory/relapsed hemophagocytic lymphohistiocytosis treated with ruxolitinib: three cases report and literatures review].. PubMed Central. 40(1). 73–75. 5 indexed citations
17.
Chen, Jian, Jingpei Li, Lingling Wu, et al.. (2018). Syntheses and anti-pancreatic cancer activities of rakicidin A analogues. European Journal of Medicinal Chemistry. 151. 601–627. 14 indexed citations
18.
Sang, Feng, Dongmei Li, Liang Wang, et al.. (2014). Total Synthesis and Determination of the Absolute Configuration of Rakicidin A. Journal of the American Chemical Society. 136(44). 15787–15791. 36 indexed citations
19.
Ninɡ, Menɡ, Lingling Wu, Jiangang Gao, et al.. (2010). Lipopolysaccharide induces autophagy through BIRC2 in human umbilical vein endothelial cells. Journal of Cellular Physiology. 225(1). 174–179. 30 indexed citations
20.
Zheng, Liang‐Wen, Lingling Wu, Bao‐Xiang Zhao, Wen‐Liang Dong, & Jun‐Ying Miao. (2009). Synthesis of novel substituted pyrazole-5-carbohydrazide hydrazone derivatives and discovery of a potent apoptosis inducer in A549 lung cancer cells. Bioorganic & Medicinal Chemistry. 17(5). 1957–1962. 137 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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