Lei Yu

4.0k total citations
104 papers, 2.7k citations indexed

About

Lei Yu is a scholar working on Oncology, Molecular Biology and Biomaterials. According to data from OpenAlex, Lei Yu has authored 104 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Oncology, 32 papers in Molecular Biology and 23 papers in Biomaterials. Recurrent topics in Lei Yu's work include CAR-T cell therapy research (45 papers), Nanoparticle-Based Drug Delivery (23 papers) and RNA Interference and Gene Delivery (13 papers). Lei Yu is often cited by papers focused on CAR-T cell therapy research (45 papers), Nanoparticle-Based Drug Delivery (23 papers) and RNA Interference and Gene Delivery (13 papers). Lei Yu collaborates with scholars based in China, United States and Taiwan. Lei Yu's co-authors include Zhiqiang Yan, Yi‐Ting Wang, Liqing Kang, Lipeng Gao, Sang Van, Nan Xu, Jinge Zhou, Ke Ding, Xiaoyun Lu and Depei Wu and has published in prestigious journals such as Blood, ACS Nano and Biomaterials.

In The Last Decade

Lei Yu

97 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Yu China 32 1.1k 982 663 495 460 104 2.7k
Tracy R. Daniels‐Wells United States 26 1.5k 1.3× 553 0.6× 454 0.7× 644 1.3× 494 1.1× 51 3.0k
James O. Park United States 28 909 0.8× 722 0.7× 617 0.9× 422 0.9× 205 0.4× 92 2.6k
Kun Cheng United States 36 2.5k 2.2× 872 0.9× 684 1.0× 698 1.4× 506 1.1× 102 4.4k
Yajun Guo China 32 1.6k 1.5× 586 0.6× 373 0.6× 507 1.0× 709 1.5× 99 3.0k
Xiao Zhao China 21 1.3k 1.1× 471 0.5× 533 0.8× 446 0.9× 413 0.9× 53 2.7k
Lixia Yu China 33 1.7k 1.5× 859 0.9× 688 1.0× 752 1.5× 431 0.9× 145 3.3k
Junhua Mai United States 25 1.1k 1.0× 534 0.5× 595 0.9× 472 1.0× 554 1.2× 58 2.1k
Behzad Baradaran Iran 28 1.4k 1.2× 757 0.8× 773 1.2× 360 0.7× 659 1.4× 113 2.9k
Joseph A. Reddy United States 30 1.5k 1.3× 763 0.8× 472 0.7× 764 1.5× 150 0.3× 49 2.9k

Countries citing papers authored by Lei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Yu. A scholar is included among the top collaborators of Lei Yu 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 Lei Yu. Lei Yu 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.
Hu, Bing, et al.. (2025). Improving domain generalization via enhanced style transfer incorporating PCA. Pattern Recognition. 171. 112171–112171. 1 indexed citations
2.
Yu, Lei, D. Y. Guo, Wei Peng, et al.. (2024). CNN-based track reconstruction study for gamma-ray pair telescope. Astronomy and Computing. 48. 100834–100834.
3.
Xu, Nan, et al.. (2024). BERT-siRNA: siRNA target prediction based on BERT pre-trained interpretable model. Gene. 910. 148330–148330. 3 indexed citations
4.
Yu, Lei, et al.. (2024). A remaining useful life prediction method for rotating machinery based on interactive BiLSTM. Measurement Science and Technology. 36(1). 16128–16128.
5.
Fu, Chengcheng, Lingzhi Yan, Zhi Yan, et al.. (2024). 5-Year Follow-up of Combined Infusion of Anti-CD19 and Anti-BCMA CAR-T after ASCT for High-Risk Newly Diagnosed Multiple Myeloma. Blood. 144(Supplement 1). 4766–4766.
6.
Li, Yangzi, Qingya Cui, Lingling Liu, et al.. (2024). Rituximab potentially improves clinical outcomes of CAR-T therapy for r/r B-ALL via sensitizing leukemia cells to CAR-T-mediated cytotoxicity and reducing CAR-T exhaustion. Cellular Oncology. 47(5). 1649–1661. 4 indexed citations
7.
Wang, Xiangyu, et al.. (2023). Tandem bispecific CD123/CLL‐1 CAR‐T cells exhibit specific cytolytic effector functions against human acute myeloid leukaemia. European Journal Of Haematology. 112(1). 83–93. 15 indexed citations
8.
Xu, Nan, Jingwen Tan, Weixin Xie, et al.. (2022). ILGBMSH: an interpretable classification model for the shRNA target prediction with ensemble learning algorithm. Briefings in Bioinformatics. 23(6). 12 indexed citations
9.
Liu, Rui, Qian Cheng, Liqing Kang, et al.. (2022). CD19 or CD20 CAR T Cell Therapy Demonstrates Durable Antitumor Efficacy in Patients with Central Nervous System Lymphoma. Human Gene Therapy. 33(5-6). 318–329. 17 indexed citations
10.
Wei, Zhenyu, Nan Xu, Liqing Kang, et al.. (2022). Investigation of CRS-associated cytokines in CAR-T therapy with meta-GNN and pathway crosstalk. BMC Bioinformatics. 23(1). 373–373. 10 indexed citations
11.
Liu, Jingjing, Nan Xu, Xinyu Wang, et al.. (2021). Quantitative radio-thin-layer chromatography and positron emission tomography studies for measuring streptavidin transduced chimeric antigen receptor T cells. Journal of Chromatography B. 1182. 122944–122944. 4 indexed citations
12.
Wang, Yeying, Yang Liu, Jinge Zhou, et al.. (2021). Controllable hydrogen release for gas-assisted chemotherapy and ultrasonic imaging of drug-resistant tumors. Chemical Engineering Journal. 421. 129917–129917. 29 indexed citations
13.
Zhang, Ying, Jiaqi Li, Xiaoyan Lou, et al.. (2021). A Prospective Investigation of Bispecific CD19/22 CAR T Cell Therapy in Patients With Relapsed or Refractory B Cell Non-Hodgkin Lymphoma. Frontiers in Oncology. 11. 664421–664421. 35 indexed citations
14.
Kang, Liqing, Xiaowen Tang, Jian Zhang, et al.. (2020). Interleukin-6-knockdown of chimeric antigen receptor-modified T cells significantly reduces IL-6 release from monocytes. Experimental Hematology and Oncology. 9(1). 11–11. 49 indexed citations
15.
Kang, Liqing, Xiaowen Tang, Nan Xu, et al.. (2019). shRNA-Interleukin-6 Modified CD19-Specific Chimeric Antigen Receptor T Cell Significantly Improves the Safety in Acute Lymphoblastic Leukemia. Blood. 134(Supplement_1). 2621–2621. 2 indexed citations
16.
Liu, Yang, Jing Wang, Yi‐Ting Wang, et al.. (2018). Nanocrystal Technology as a Strategy to Improve Drug Bioavailability and Antitumor Efficacy for the Cancer Treatment. Current Pharmaceutical Design. 24(21). 2416–2424. 30 indexed citations
17.
Zhang, Zhang, Jian Zou, Lei Yu, et al.. (2018). YL143, a novel mutant selective irreversible EGFR inhibitor, overcomes EGFRL858R, T790M‐mutant resistance in vitro and in vivo. Cancer Medicine. 7(4). 1430–1439. 3 indexed citations
18.
Zhu, Bing, Lei Yu, Wei Hu, et al.. (2018). Inhibition of Autophagy with Chloroquine Enhanced Sinoporphyrin Sodium Mediated Photodynamic Therapy-induced Apoptosis in Human Colorectal Cancer Cells. International Journal of Biological Sciences. 15(1). 12–23. 32 indexed citations
19.
Luo, Zimiao, Kai Jin, Qiang Pang, et al.. (2017). On-Demand Drug Release from Dual-Targeting Small Nanoparticles Triggered by High-Intensity Focused Ultrasound Enhanced Glioblastoma-Targeting Therapy. ACS Applied Materials & Interfaces. 9(37). 31612–31625. 83 indexed citations
20.
Yang, Fei, Yinxiang Wei, Lei Yu, et al.. (2014). Activated cytotoxic lymphocytes promote tumor progression by increasing the ability of 3LL tumor cells to mediate MDSC chemoattraction via Fas signaling. Cellular and Molecular Immunology. 12(1). 66–76. 20 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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