Yu Hu

3.6k total citations
91 papers, 2.8k citations indexed

About

Yu Hu is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Yu Hu has authored 91 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 37 papers in Immunology and 16 papers in Cancer Research. Recurrent topics in Yu Hu's work include Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (14 papers) and interferon and immune responses (7 papers). Yu Hu is often cited by papers focused on Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (14 papers) and interferon and immune responses (7 papers). Yu Hu collaborates with scholars based in China, United States and United Kingdom. Yu Hu's co-authors include Bing Sun, Yikai Shou, Xiaozheng Zhu, Huanhuan Wang, Xinfang Liu, Jianmin Zhang, Xiaodong Wu, Cuiqing Liu, Lianxian Cui and Kairui Mao and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yu Hu

89 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Hu China	30	1.2k	986	289	281	263	91	2.8k
Martin Pelletier Canada	26	1.2k 1.0×	1.8k 1.8×	233 0.8×	282 1.0×	248 0.9×	73	3.6k
Huan Liu China	26	1.1k 0.9×	479 0.5×	183 0.6×	199 0.7×	246 0.9×	151	2.7k
Yutaka Matsumoto Japan	29	1.2k 1.0×	772 0.8×	259 0.9×	308 1.1×	222 0.8×	102	3.7k
Shepherd H. Schurman United States	24	1.0k 0.9×	454 0.5×	542 1.9×	289 1.0×	333 1.3×	47	2.7k
Hongwei Wang China	32	1.0k 0.9×	356 0.4×	170 0.6×	183 0.7×	368 1.4×	131	2.9k
Thomas H. Thatcher United States	38	1.4k 1.2×	699 0.7×	321 1.1×	236 0.8×	366 1.4×	87	3.8k
Joseph Paulauskis United States	28	1.0k 0.9×	707 0.7×	441 1.5×	237 0.8×	246 0.9×	47	2.8k
Xuemei Chen China	32	1.1k 0.9×	864 0.9×	443 1.5×	136 0.5×	389 1.5×	205	3.4k
Gary Guishan Xiao United States	28	1.8k 1.5×	670 0.7×	281 1.0×	515 1.8×	725 2.8×	78	3.7k

Countries citing papers authored by Yu Hu

Since Specialization

Citations

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

Fields of papers citing papers by Yu Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Hu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hu, Yu, et al.. (2025). Esketamine reduces postoperative depression in breast cancer through TREK-1 channel inhibition and neurotransmitter modulation. Cancer Cell International. 25(1). 51–51. 1 indexed citations

Luan, Chao, et al.. (2025). Mechanistic Insights Into 5′‐ tiRNA ‐His‐ GTG Mediated Activation of the JNK Pathway in Skin Photoaging. Aging Cell. 24(7). e70049–e70049. 3 indexed citations

Liu, Lihao, Hongying Chen, Chao Luan, et al.. (2025). 5′tiRNA-Glu-TTC targets TRPV3 and activates the PI3K/AKT signaling pathway to modulate skin photoaging. Non-coding RNA Research. 15. 29–43.

Ma, Wenya, Wei Huang, Zhongyu Ren, et al.. (2025). The highly conserved PIWI-interacting RNA CRAPIR antagonizes PA2G4-mediated NF110–NF45 disassembly to promote heart regeneration in mice. Nature Cardiovascular Research. 4(1). 102–118. 6 indexed citations

Chen, Xi, Li Liu, Jiang Wu, et al.. (2025). Hydrogen Sulfide Inhibits Ferritinophagy-Mediated Ferroptosis in the Hippocampus of Rotenone-Exposed Rats. PubMed. 68(2). 91–99. 2 indexed citations

Chen, Xiaochuan, et al.. (2023). Screening the optimal housekeeping genes (HKGs) of placenta tissues by RNA-sequence and qRT-PCR throughout gestation in goat (Capra Hircus). Gene. 895. 147966–147966. 2 indexed citations

Hu, Yu, Lihao Liu, Hongying Chen, et al.. (2023). IL-33-mediated activation of mast cells is involved in the progression of imiquimod-induced psoriasis-like dermatitis. Cell Communication and Signaling. 21(1). 52–52. 8 indexed citations

Zhu, Xiaozheng, et al.. (2021). S-adenosylmethionine decarboxylase 1 and its related spermidine synthesis mediate PM2.5 exposure-induced neuronal apoptosis. Ecotoxicology and Environmental Safety. 224. 112678–112678. 6 indexed citations

Li, Zhenzhen, et al.. (2021). Penthorum chinense Pursh Compound Ameliorates AFB1-Induced Oxidative Stress and Apoptosis via Modulation of Mitochondrial Pathways in Broiler Chicken Kidneys. Frontiers in Veterinary Science. 8. 750937–750937. 29 indexed citations

10.

Shou, Yikai, Xiaozheng Zhu, Hongping Yin, et al.. (2020). Ambient PM2.5 chronic exposure leads to cognitive decline in mice: From pulmonary to neuronal inflammation. Toxicology Letters. 331. 208–217. 51 indexed citations

11.

Shou, Yikai, et al.. (2019). A review of the possible associations between ambient PM2.5 exposures and the development of Alzheimer's disease. Ecotoxicology and Environmental Safety. 174. 344–352. 242 indexed citations

12.

Li, Zinan, Siya Zhang, Ying Wan, et al.. (2018). MicroRNA-146a Overexpression Impairs the Positive Selection during T Cell Development. Frontiers in Immunology. 8. 2006–2006. 17 indexed citations

13.

Hu, Yu, Ji Hyung Kim, Kangmin He, et al.. (2016). Scramblase TMEM16F terminates T cell receptor signaling to restrict T cell exhaustion. The Journal of Experimental Medicine. 213(12). 2759–2772. 30 indexed citations

14.

Zhang, Siya, Kang Ning, Yu Hu, et al.. (2014). Global Characterization of Differential Gene Expression Profiles in Mouse Vγ1+ and Vγ4+ γδ T Cells. PLoS ONE. 9(11). e112964–e112964. 14 indexed citations

15.

Li, Zhen, Yanmei Jiao, Yu Hu, et al.. (2014). Distortion of memory Vδ2 γδ T cells contributes to immune dysfunction in chronic HIV infection. Cellular and Molecular Immunology. 12(5). 604–614. 21 indexed citations

16.

Wu, Yuqing, Tuo Liang, He Huang, et al.. (2014). Ketamine Inhibits Proliferation of Neural Stem Cell from Neonatal Rat Hippocampusin Vitro. Cellular Physiology and Biochemistry. 34(5). 1792–1801. 19 indexed citations

17.

Wang, Jie, Yu Hu, Wei Deng, & Bing Sun. (2009). Negative regulation of Toll-like receptor signaling pathway. Microbes and Infection. 11(3). 321–327. 69 indexed citations

18.

Ning, Kang, Lian Duan, Long Tang, et al.. (2008). Identification and Characterization of a Novel Thymus Aging Related Protein Rwdd1. Cellular and Molecular Immunology. 5(4). 279–285. 10 indexed citations

19.

Huang, Chunjian, Enguang Bi, Yu Hu, et al.. (2006). A Novel NF-κB Binding Site Controls Human Granzyme B Gene Transcription. The Journal of Immunology. 176(7). 4173–4181. 73 indexed citations

20.

Hu, Yu, et al.. (2003). Effect of arsenic on GSH level:its related enzyme activity and gene expression in NIH 3T3 cells. Huanjing yu zhiye yixue. 20(6). 396–402. 1 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