Hu Lei

2.2k total citations
71 papers, 1.5k citations indexed

About

Hu Lei is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Hu Lei has authored 71 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 14 papers in Immunology and 10 papers in Hematology. Recurrent topics in Hu Lei's work include Ubiquitin and proteasome pathways (21 papers), Histone Deacetylase Inhibitors Research (10 papers) and Protein Degradation and Inhibitors (7 papers). Hu Lei is often cited by papers focused on Ubiquitin and proteasome pathways (21 papers), Histone Deacetylase Inhibitors Research (10 papers) and Protein Degradation and Inhibitors (7 papers). Hu Lei collaborates with scholars based in China, Thailand and United States. Hu Lei's co-authors include Yingli Wu, Hanzhang Xu, Yuping Lai, Dongqing Li, Zhiheng Li, Weiwei Wang, Yelin Wu, Hongquan Li, Yue Wang and Ziwei Jiang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Hu Lei

69 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hu Lei China 23 812 340 327 187 177 71 1.5k
Snehlata Kumari Germany 12 1.3k 1.6× 940 2.8× 196 0.6× 249 1.3× 104 0.6× 23 1.9k
Mutsuhiko Minami Japan 22 630 0.8× 537 1.6× 136 0.4× 137 0.7× 140 0.8× 51 1.5k
Ivana Vancurova United States 26 1.2k 1.4× 589 1.7× 514 1.6× 476 2.5× 79 0.4× 78 2.1k
Fei Huang China 22 765 0.9× 908 2.7× 296 0.9× 351 1.9× 129 0.7× 60 2.2k
Rudolf A. Rupec Germany 18 1.0k 1.3× 965 2.8× 326 1.0× 817 4.4× 185 1.0× 27 2.4k
Yuxin Wang China 22 758 0.9× 522 1.5× 607 1.9× 322 1.7× 37 0.2× 80 1.8k
Jing Xu China 22 726 0.9× 203 0.6× 259 0.8× 370 2.0× 62 0.4× 113 1.6k
Hyuk Soon Kim South Korea 24 529 0.7× 632 1.9× 216 0.7× 97 0.5× 110 0.6× 69 1.5k
Denise M. Ray United States 16 924 1.1× 526 1.5× 265 0.8× 314 1.7× 28 0.2× 18 2.1k
Stefania Madonna Italy 27 638 0.8× 1.4k 4.2× 527 1.6× 113 0.6× 804 4.5× 53 2.5k

Countries citing papers authored by Hu Lei

Since Specialization
Citations

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

Fields of papers citing papers by Hu Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hu Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Hu Lei. A scholar is included among the top collaborators of Hu Lei 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 Hu Lei. Hu Lei 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.
Luo, Hao, Hao Peng, Haiyan Cai, et al.. (2025). USP2 promotes metabolic dysfunction-associated steatotic liver disease progression via stabilization of PPARγ. Cell Death and Differentiation. 2 indexed citations
2.
Zhou, Wei, Hu Lei, Qi Hu, et al.. (2024). Effects of Neolamarckia cadamba leaves extract on microbial community and antibiotic resistance genes in cecal contents and feces of broilers challenged with lipopolysaccharides. Applied and Environmental Microbiology. 90(2). e0110723–e0110723. 1 indexed citations
3.
Zhang, Xingming, Yi Tang, Yingying Wang, et al.. (2024). Ubiquitin-specific protease 14 targets PFKL-mediated glycolysis to promote the proliferation and migration of oral squamous cell carcinoma. Journal of Translational Medicine. 22(1). 193–193. 10 indexed citations
4.
Hu, Hui, Lili Xia, Xuefei Huang, et al.. (2024). Bionanoengineered 2D monoelemental selenene for piezothrombolysis. Biomaterials. 305. 122468–122468. 8 indexed citations
5.
Lei, Hu, Jing Ye, Zhigang Gao, et al.. (2024). Severe pediatric COVID-19: a review from the clinical and immunopathophysiological perspectives. World Journal of Pediatrics. 20(4). 307–324. 3 indexed citations
6.
Zhang, Di, et al.. (2023). A novel L-phenylalanine dipeptide inhibits prostate cancer cell proliferation by targeting TNFSF9. Biomedicine & Pharmacotherapy. 160. 114360–114360. 2 indexed citations
7.
Zhang, Xingming, Li Yang, Yingying Wang, et al.. (2023). Anlotinib exerts an anti-T-cell acute lymphoblastic leukemia effect in vitro and in vivo. Cellular Signalling. 110. 110837–110837. 2 indexed citations
8.
Li, Zhenzhen, Haiqin Wang, Yanpeng Wang, et al.. (2022). Luteolin inhibits the TGF-β signaling pathway to overcome bortezomib resistance in multiple myeloma. Cancer Letters. 554. 216019–216019. 11 indexed citations
9.
Cao, Yang, Meng Liu, Jia Liu, et al.. (2021). Directly targeting c-Myc contributes to the anti-multiple myeloma effect of anlotinib. Cell Death and Disease. 12(4). 396–396. 16 indexed citations
10.
Li, Yakui, Na Tian, Ping Zhang, et al.. (2019). The ubiquitination ligase SMURF2 reduces aerobic glycolysis and colorectal cancer cell proliferation by promoting ChREBP ubiquitination and degradation. Journal of Biological Chemistry. 294(40). 14745–14756. 31 indexed citations
11.
Gong, Weijing, Liyun Ma, Hu Lei, et al.. (2019). STAT3 rs4796793 contributes to lung cancer risk and clinical outcomes of platinum-based chemotherapy. International Journal of Clinical Oncology. 24(5). 476–484. 13 indexed citations
12.
Wang, Yingying, Linlin Wu, Haiyan Cai, et al.. (2018). YL064 directly inhibits STAT3 activity to induce apoptosis of multiple myeloma cells. Cell Death Discovery. 4(1). 44–44. 13 indexed citations
13.
Lei, Hu, Jin Jin, Meng Liu, et al.. (2017). Chk1 inhibitors overcome imatinib resistance in chronic myeloid leukemia cells. Leukemia Research. 64. 17–23. 13 indexed citations
14.
Wei, Wei, Chuanxu Liu, Lili Song, et al.. (2016). Targeting peroxiredoxin I potentiates 1,25-dihydroxyvitamin D3-induced cell differentiation in leukemia cells. Molecular Medicine Reports. 13(3). 2201–2207. 5 indexed citations
15.
Wu, Yelin, Yanchun Quan, Hongquan Li, et al.. (2016). Hyperglycaemia inhibits REG3A expression to exacerbate TLR3-mediated skin inflammation in diabetes. Nature Communications. 7(1). 13393–13393. 89 indexed citations
16.
Lei, Hu, Yue Wang, Tian Zhang, et al.. (2016). TLR3 activation induces S100A7 to regulate keratinocyte differentiation after skin injury. Science China Life Sciences. 60(2). 158–167. 21 indexed citations
17.
Yang, Li, Hu Lei, Wei Wei, et al.. (2015). Hsp90 Is a Novel Target Molecule of CDDO-Me in Inhibiting Proliferation of Ovarian Cancer Cells. PLoS ONE. 10(7). e0132337–e0132337. 27 indexed citations
18.
Hu, Jiajia, Hu Lei, Xiaochun Fei, et al.. (2015). NES1/KLK10 gene represses proliferation, enhances apoptosis and down-regulates glucose metabolism of PC3 prostate cancer cells. Scientific Reports. 5(1). 17426–17426. 35 indexed citations
19.
Song, Lili, Xia Li, Weiwei Wang, et al.. (2014). Targeting Catalase but Not Peroxiredoxins Enhances Arsenic Trioxide-Induced Apoptosis in K562 Cells. PLoS ONE. 9(8). e104985–e104985. 16 indexed citations
20.
Lai, Yuping, Dongqing Li, Changwei Li, et al.. (2012). The Antimicrobial Protein REG3A Regulates Keratinocyte Proliferation and Differentiation after Skin Injury. Immunity. 37(1). 74–84. 199 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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