Lingling Wu

6.7k total citations · 1 hit paper
131 papers, 5.2k citations indexed

About

Lingling Wu is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Lingling Wu has authored 131 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 47 papers in Biomedical Engineering and 26 papers in Oncology. Recurrent topics in Lingling Wu's work include Microfluidic and Bio-sensing Technologies (27 papers), Advanced biosensing and bioanalysis techniques (25 papers) and Extracellular vesicles in disease (20 papers). Lingling Wu is often cited by papers focused on Microfluidic and Bio-sensing Technologies (27 papers), Advanced biosensing and bioanalysis techniques (25 papers) and Extracellular vesicles in disease (20 papers). Lingling Wu collaborates with scholars based in China, United States and Taiwan. Lingling Wu's co-authors include Chaoyong Yang, Dai‐Wen Pang, Jiao Hu, Zhiling Zhang, Man Tang, Yanling Song, Cong‐Ying Wen, Bingqian Lin, Jialü Zhang and Jia Song and has published in prestigious journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Lingling Wu

123 papers receiving 5.2k citations

Hit Papers

Aptamer-Based Detection of Circulating Targets for Precis... 2021 2026 2022 2024 2021 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Aptamer-Based Detection of Circulating Targets for Precision Medicine
    2021 519 citations Lingling Wu, Yidi Wang et al. profile →

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 39 3.0k 2.0k 784 779 682 131 5.2k
Jing Gao China 37 2.8k 0.9× 1.2k 0.6× 1.1k 1.3× 538 0.7× 838 1.2× 176 5.3k
Youli Zu United States 37 3.1k 1.0× 1.2k 0.6× 838 1.1× 387 0.5× 1.3k 1.8× 141 5.2k
Wei Ge China 40 4.5k 1.5× 690 0.3× 1.0k 1.3× 1.6k 2.1× 627 0.9× 169 7.5k
Qin Zhang China 36 3.9k 1.3× 1.2k 0.6× 559 0.7× 1.6k 2.0× 246 0.4× 157 6.5k
Michael Donovan United States 31 3.0k 1.0× 942 0.5× 319 0.4× 945 1.2× 415 0.6× 137 4.9k
Weian Zhao United States 47 6.2k 2.1× 3.9k 1.9× 420 0.5× 818 1.1× 638 0.9× 111 9.2k
Tao Yang China 43 3.1k 1.0× 2.4k 1.2× 1.5k 1.9× 525 0.7× 852 1.2× 161 7.4k
Feng Li China 45 3.1k 1.0× 2.3k 1.1× 1.3k 1.7× 1.2k 1.6× 1.2k 1.7× 167 6.8k
Liang Zhang China 44 4.4k 1.5× 511 0.3× 814 1.0× 1.1k 1.5× 786 1.2× 218 7.2k
Tian Tian China 47 6.7k 2.2× 1.8k 0.9× 312 0.4× 1.4k 1.9× 243 0.4× 249 8.5k

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.
Chen, Zhuo, et al.. (2025). Research on Defect Detection in Lightweight Photovoltaic Cells Using YOLOv8-FSD. Sensors. 25(3). 843–843. 2 indexed citations
2.
Wu, Shizhe, Rongjiang Zhang, Zhiqiang Wu, et al.. (2025). 3D‐Printed Bioinspired Meta‐Structural Perovskite Catalysts for Dry Reforming of CH 4 and CO 2. Advanced Materials. 37(44). e2508078–e2508078. 1 indexed citations
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Wu, Lingling, Yanan Gao, Zhiyuan Lu, et al.. (2025). Mitochondrial Electron Flow Dynamics Imaging for Assessing Mitochondrial Quality and Drug Screening. Advanced Science. 12(9). e2410561–e2410561. 3 indexed citations
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Shi, Weixiong, Jing Zhang, Shanqing Huang, et al.. (2024). Next-Generation Sequencing-Based Spatial Transcriptomics: A Perspective from Barcoding Chemistry. SHILAP Revista de lepidopterología. 4(5). 1723–1743. 7 indexed citations
7.
Xie, Qihui, Jianzhou Feng, Qian Fan, et al.. (2024). Tumor Exosomal ENPP1 Hydrolyzes cGAMP to Inhibit cGAS‐STING Signaling. Advanced Science. 11(20). e2308131–e2308131. 31 indexed citations
8.
Yang, Xue, et al.. (2024). Drought stress tolerance and metabolomics of Medicago sativa induced by Bacillus amyloliquefaciens DGL1. Frontiers in Plant Science. 15. 1378707–1378707. 7 indexed citations
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Ye, Mingli, Qi Niu, Yan Lu, et al.. (2023). Paper-based lipid bilayer magnetic interface for ultrasensitive assay of tumor-derived extracellular vesicles PD-L1. Sensors and Actuators B Chemical. 399. 134819–134819. 8 indexed citations
12.
Qu, Junwen, Dawei Li, Nan Sun, et al.. (2023). Hypoxia-Inducible Factor 2α Attenuates Renal Ischemia-Reperfusion Injury by Suppressing CD36-Mediated Lipid Accumulation in Dendritic Cells in a Mouse Model. Journal of the American Society of Nephrology. 34(1). 73–87. 19 indexed citations
13.
Huang, Shanqing, Qian Fan, Yidi Wang, et al.. (2023). Recent progress in co-detection of single-cell transcripts and proteins. Nano Research. 17(1). 132–150. 1 indexed citations
14.
Niu, Qi, Xin Qu, Shiyu Li, et al.. (2023). Hierarchical Fluid Interface Enables Spatiotemporal Regulation of Ligand Distribution to Increase Kinetics and Thermodynamics of Interfacial Binding Reaction. Angewandte Chemie International Edition. 62(49). e202312581–e202312581. 2 indexed citations
15.
Huang, Jianfeng, Xiaoyi Li, Qian Chen, et al.. (2023). Heterostructured Cu/CuO Nanoparticles Embedded within N-Doped Carbon Nanosheets for Efficient Oxygen Reduction Reaction. Catalysts. 13(2). 255–255. 8 indexed citations
16.
Tang, Man, Feng Jiao, Lingling Wu, et al.. (2023). Continuous magnetic separation microfluidic chip for tumor cell in vivo detection. Chemical Communications. 59(80). 11955–11958. 2 indexed citations
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Qin, Yuting, Lingling Wu, Ping‐Kun Zhou, et al.. (2017). MiR-125a Is a critical modulator for neutrophil development. PLoS Genetics. 13(10). e1007027–e1007027. 18 indexed citations
19.
Wen, Cong‐Ying, Hai‐Yan Xie, Zhiling Zhang, et al.. (2016). Fluorescent/magnetic micro/nano-spheres based on quantum dots and/or magnetic nanoparticles: preparation, properties, and their applications in cancer studies. Nanoscale. 8(25). 12406–12429. 93 indexed citations
20.
Song, Jianbo, Lingling Wu, Zun Chen, Ronald A. Kohanski, & Leslie Pick. (2003). Axons Guided by Insulin Receptor in Drosophila Visual System. Science. 300(5618). 502–505. 122 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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