Lei Tao

462 total citations
12 papers, 387 citations indexed

About

Lei Tao is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Lei Tao has authored 12 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Lei Tao's work include Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (3 papers) and T-cell and B-cell Immunology (3 papers). Lei Tao is often cited by papers focused on Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (3 papers) and T-cell and B-cell Immunology (3 papers). Lei Tao collaborates with scholars based in China, Australia and Macao. Lei Tao's co-authors include Xiaojuan Li, Xiangzhou Zeng, Shuwen Liu, Song Wang, Yueyang Zhang, Li Zhang, Ying Zhou, Wenzheng Jiang, Muhammad Asad Farooq and Iqra Ajmal and has published in prestigious journals such as Biochemical Pharmacology, Pharmacological Research and Immunology.

In The Last Decade

Lei Tao

11 papers receiving 379 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 Tao China 10 203 194 118 37 36 12 387
Yi-Ju Lee Taiwan 11 207 1.0× 128 0.7× 87 0.7× 16 0.4× 43 1.2× 13 437
Chang Yang China 14 280 1.4× 120 0.6× 106 0.9× 9 0.2× 67 1.9× 28 478
Xuewu Sun China 12 293 1.4× 84 0.4× 60 0.5× 19 0.5× 105 2.9× 19 452
Zhitao Gao China 10 150 0.7× 133 0.7× 134 1.1× 22 0.6× 53 1.5× 25 461
Xiaohong Yang China 12 231 1.1× 103 0.5× 31 0.3× 19 0.5× 57 1.6× 21 381
Hongguang Wu China 11 206 1.0× 82 0.4× 39 0.3× 16 0.4× 38 1.1× 23 382
Eberhard Buchner Germany 9 175 0.9× 112 0.6× 117 1.0× 16 0.4× 14 0.4× 15 500
Shasha Song China 3 199 1.0× 69 0.4× 25 0.2× 36 1.0× 41 1.1× 6 316

Countries citing papers authored by Lei Tao

Since Specialization
Citations

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

Fields of papers citing papers by Lei Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Tao. A scholar is included among the top collaborators of Lei Tao 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 Tao. Lei Tao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Lin, Haizhen, Dandan Guo, Ying Zhou, et al.. (2021). Suppression of 4.1R enhances the potency of NKG2D-CAR T cells against pancreatic carcinoma via activating ERK signaling pathway. Oncogenesis. 10(9). 62–62. 19 indexed citations
3.
Zhou, Ying, Zhenlong Li, Muhammad Asad Farooq, et al.. (2020). Co-Expression of IL-7 Improves NKG2D-Based CAR T Cell Therapy on Prostate Cancer by Enhancing the Expansion and Inhibiting the Apoptosis and Exhaustion. Cancers. 12(7). 1969–1969. 68 indexed citations
4.
Tao, Lei, Muhammad Asad Farooq, Li Zhang, et al.. (2020). CD19-CAR-T Cells Bearing a KIR/PD-1-Based Inhibitory CAR Eradicate CD19+HLA-C1− Malignant B Cells While Sparing CD19+HLA-C1+ Healthy B Cells. Cancers. 12(9). 2612–2612. 28 indexed citations
5.
Zhang, Yueyang, Binhua Zou, Yanhui Tan, et al.. (2019). Sinomenine inhibits osteolysis in breast cancer by reducing IL-8/CXCR1 and c-Fos/NFATc1 signaling. Pharmacological Research. 142. 140–150. 32 indexed citations
6.
Tao, Lei, et al.. (2019). IL-10-producing regulatory B cells exhibit functional defects and play a protective role in severe endotoxic shock. Pharmacological Research. 148. 104457–104457. 12 indexed citations
7.
Zhou, Xuan, Lei Tao, Xiangzhou Zeng, et al.. (2018). B‐cell‐specific‐peroxisome proliferator‐activated receptor γ deficiency augments contact hypersensitivity with impaired regulatory B cells. Immunology. 156(3). 282–296. 9 indexed citations
8.
Tao, Lei, Yueyang Zhang, Binhua Zou, et al.. (2017). TLR4 supports the expansion of FasL + CD5 + CD1d hi regulatory B cells, which decreases in contact hypersensitivity. Molecular Immunology. 87. 188–199. 21 indexed citations
9.
Zeng, Xiangzhou, Yueyang Zhang, Song Wang, et al.. (2016). Artesunate suppresses RANKL-induced osteoclastogenesis through inhibition of PLCγ1-Ca 2+ –NFATc1 signaling pathway and prevents ovariectomy-induced bone loss. Biochemical Pharmacology. 124. 57–68. 47 indexed citations
10.
Zeng, Xiangzhou, et al.. (2015). Aconine inhibits RANKL-induced osteoclast differentiation in RAW264.7 cells by suppressing NF-κB and NFATc1 activation and DC-STAMP expression. Acta Pharmacologica Sinica. 37(2). 255–263. 132 indexed citations
11.
Wang, Wei, et al.. (2013). [Effects of low-dose insulin on oxidation-reduction in rat organs after major burns].. PubMed. 93(42). 3394–7. 2 indexed citations
12.
Li, Yan, et al.. (2012). Effect of calcitonin gene‐related peptide on osteoblast differentiation in an osteoblast and endothelial cell co‐culture system. Cell Biology International. 36(10). 909–915. 17 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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