Yu Lu

2.8k total citations
71 papers, 2.1k citations indexed

About

Yu Lu is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Yu Lu has authored 71 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 18 papers in Immunology and 13 papers in Cancer Research. Recurrent topics in Yu Lu's work include MicroRNA in disease regulation (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers) and Extracellular vesicles in disease (9 papers). Yu Lu is often cited by papers focused on MicroRNA in disease regulation (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers) and Extracellular vesicles in disease (9 papers). Yu Lu collaborates with scholars based in China, United States and Norway. Yu Lu's co-authors include Yi‐Bing Ouyang, Rona G. Giffard, Sibiao Yue, Miya Kang, Chun-Chieh Huang, Sajjad Shirazi, Sriram Ravindran, Praveen Gajendrareddy, Lyndon F. Cooper and Xiaoyun Sun and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry B and Biochemistry.

In The Last Decade

Yu Lu

67 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Lu China 23 1.2k 726 388 326 184 71 2.1k
Can Liu China 26 1.3k 1.1× 640 0.9× 289 0.7× 309 0.9× 229 1.2× 65 2.7k
Anjing Chen China 31 1.3k 1.1× 687 0.9× 409 1.1× 370 1.1× 291 1.6× 89 2.6k
Chan Woo Kim South Korea 31 1.5k 1.2× 692 1.0× 505 1.3× 372 1.1× 265 1.4× 77 3.1k
Junyong Wu China 27 1.4k 1.1× 598 0.8× 228 0.6× 510 1.6× 131 0.7× 59 2.1k
Xiaoyue Tan China 29 1.4k 1.2× 482 0.7× 421 1.1× 337 1.0× 403 2.2× 82 3.0k
Guangfan Chi China 23 980 0.8× 458 0.6× 136 0.4× 370 1.1× 196 1.1× 49 1.9k
Yu Guo China 28 1.1k 0.9× 636 0.9× 335 0.9× 427 1.3× 423 2.3× 91 2.3k
Yu Zhu China 26 1.5k 1.2× 683 0.9× 171 0.4× 210 0.6× 222 1.2× 91 2.3k
Xiaofeng Wang China 27 2.0k 1.6× 1.3k 1.8× 472 1.2× 179 0.5× 368 2.0× 90 2.9k
Dongmei Sun United States 11 2.8k 2.3× 1.6k 2.1× 342 0.9× 345 1.1× 99 0.5× 26 3.4k

Countries citing papers authored by Yu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Lu. A scholar is included among the top collaborators of Yu Lu 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 Yu Lu. Yu Lu 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.
Li, Huailong, Fujin Deng, Jie Tian, et al.. (2025). Voltage Prediction Based Capacitor Voltage Balancing Control for MMCs With Lower Switching Frequency. IEEE Transactions on Industrial Electronics. 73(1). 718–729.
2.
Lu, Yu, Yijiang Jia, Shuai Zhang, et al.. (2025). PAD4 Inhibitor-Loaded Magnetic Fe3O4 Nanoparticles for Magnetic Targeted Chemotherapy and Magnetic Resonance Imaging of Lung Cancer. International Journal of Nanomedicine. Volume 20. 3031–3044. 3 indexed citations
3.
Song, Yifan, et al.. (2024). Predicting bridge condition index using an improved back-propagation neural network. Alexandria Engineering Journal. 106. 328–336. 1 indexed citations
4.
Zhu, Di, Yu Lu, Qian Deng, et al.. (2024). A β-Carboline Derivate PAD4 Inhibitor Reshapes Neutrophil Phenotype and Improves the Tumor Immune Microenvironment against Triple-Negative Breast Cancer. Journal of Medicinal Chemistry. 67(10). 7973–7994. 12 indexed citations
5.
Zhang, Yan, Yu Lu, David Jesse Sanchez, et al.. (2024). Region‐Specific CD16+ Neutrophils Promote Colorectal Cancer Progression by Inhibiting Natural Killer Cells. Advanced Science. 11(29). e2403414–e2403414. 10 indexed citations
6.
Huang, Chun-Chieh, Miya Kang, Yu Lu, et al.. (2023). Micro RNA based MSC EV engineering: Targeting the BMP2 cascade for bone repair. Frontiers in Cell and Developmental Biology. 11. 1127594–1127594. 12 indexed citations
7.
Lu, Yu, et al.. (2023). The Promoting Role of HK II in Tumor Development and the Research Progress of Its Inhibitors. Molecules. 29(1). 75–75. 11 indexed citations
8.
Zhu, Di, Yu Lu, Yanming Wang, & Yuji Wang. (2022). PAD4 and Its Inhibitors in Cancer Progression and Prognosis. Pharmaceutics. 14(11). 2414–2414. 46 indexed citations
9.
Lu, Yu, et al.. (2022). Prognostic Significance of Lineage Diversity in Bladder Cancer Revealed by Single-Cell Sequencing. Frontiers in Genetics. 13. 862634–862634. 3 indexed citations
11.
Ma, Fang, Guangyu Wang, Jinqiu Zhang, et al.. (2022). Effect of multiplicity of infection on the evasion of neutrophil killing by Streptococcus agalactiae isolated from clinical mastitis bovine. Veterinary Microbiology. 270. 109450–109450. 4 indexed citations
12.
Zhu, Di, Yu Lu, Lin Gui, et al.. (2021). Self-assembling, pH-responsive nanoflowers for inhibiting PAD4 and neutrophil extracellular trap formation and improving the tumor immune microenvironment. Acta Pharmaceutica Sinica B. 12(5). 2592–2608. 24 indexed citations
13.
Zhang, Shuo, Jingtao Gao, Shibo Liu, et al.. (2021). Transcription Coactivator BCL3 Acts as a Potential Regulator of Lipid Metabolism Through the Effects on Inflammation. Journal of Inflammation Research. Volume 14. 4915–4926. 12 indexed citations
14.
Lu, Yu, Di Zhu, Yijiang Jia, et al.. (2021). RGD Peptide and PAD4 Inhibitor-Loaded Gold Nanorods for Chemo-Photothermal Combined Therapy to Inhibit Tumor Growth, Prevent Lung Metastasis and Improve Biosafety. International Journal of Nanomedicine. Volume 16. 5565–5580. 17 indexed citations
15.
Lu, Yu, Di Zhu, Lin Gui, et al.. (2021). A dual-targeting ruthenium nanodrug that inhibits primary tumor growth and lung metastasis via the PARP/ATM pathway. Journal of Nanobiotechnology. 19(1). 115–115. 11 indexed citations
16.
Kang, Miya, Ghadeer Thalji, Chun-Chieh Huang, et al.. (2021). Macrophage Control of Incipient Bone Formation in Diabetic Mice. Frontiers in Cell and Developmental Biology. 8. 596622–596622. 15 indexed citations
17.
Han, Shulan, Shengfang Wang, Tingyuan Yang, et al.. (2021). Tumor microenvironment remodeling and tumor therapy based on M2-like tumor associated macrophage-targeting nano-complexes. Theranostics. 11(6). 2892–2916. 192 indexed citations
18.
Schwartz, Robert, Yu Lu, Dana Villines, & Hervé Sroussi. (2010). Effect of human immunodeficiency virus infection on S100A8/A9 inhibition of peripheral neutrophils oxidative metabolism. Biomedicine & Pharmacotherapy. 64(8). 572–575. 15 indexed citations
19.
Yang, Wei, Xilai Ding, Jingjing Deng, et al.. (2010). Interferon-gamma negatively regulates Th17-mediated immunopathology during mouse hepatitis virus infection. Journal of Molecular Medicine. 89(4). 399–409. 21 indexed citations
20.
Gan, Jianhua, Yu Lu, Jian Wu, et al.. (2004). The Three-Dimensional Structure and X-Ray Sequence Reveal that Trichomaglin Is a Novel S-like Ribonuclease. Structure. 12(6). 1015–1025. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026