Yu Han

2.5k total citations
61 papers, 1.9k citations indexed

About

Yu Han is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yu Han has authored 61 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 15 papers in Physiology and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yu Han's work include Receptor Mechanisms and Signaling (10 papers), Nitric Oxide and Endothelin Effects (9 papers) and Hormonal Regulation and Hypertension (8 papers). Yu Han is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Nitric Oxide and Endothelin Effects (9 papers) and Hormonal Regulation and Hypertension (8 papers). Yu Han collaborates with scholars based in China, United States and Hong Kong. Yu Han's co-authors include Pedro A. José, Duofen He, Caiyu Chen, Chunyu Zeng, Yukai Liu, Chunyu Zeng, Hongmei Ren, Jin Cai, Lin Zhou and Jinjuan Fu and has published in prestigious journals such as Nature, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Yu Han

57 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Han China	21	1.2k	580	341	306	208	61	1.9k
Huaqing Zhu China	25	868 0.7×	402 0.7×	245 0.7×	326 1.1×	175 0.8×	52	1.7k
Yanru Zhao China	25	962 0.8×	619 1.1×	214 0.6×	429 1.4×	91 0.4×	54	1.9k
Yuan Qin China	24	1.1k 1.0×	459 0.8×	165 0.5×	192 0.6×	243 1.2×	119	2.1k
Mirco Zucchelli Italy	20	681 0.6×	312 0.5×	166 0.5×	219 0.7×	210 1.0×	38	1.5k
Tomonaga Ichikawa Japan	22	1.3k 1.1×	284 0.5×	339 1.0×	296 1.0×	156 0.8×	47	2.3k
Haipeng Sun China	24	1.5k 1.3×	238 0.4×	684 2.0×	346 1.1×	125 0.6×	67	2.2k
Yanbo Fan United States	30	1.3k 1.1×	335 0.6×	376 1.1×	326 1.1×	167 0.8×	62	2.4k
Hala O. El‐Mesallamy Egypt	27	689 0.6×	305 0.5×	275 0.8×	152 0.5×	206 1.0×	78	1.8k
Xiaopeng Li China	16	998 0.9×	333 0.6×	295 0.9×	120 0.4×	226 1.1×	36	2.0k

Countries citing papers authored by Yu Han

Since Specialization

Citations

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

Fields of papers citing papers by Yu Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Han

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

All Works

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20 of 20 papers shown

Han, Yu, et al.. (2026). Intratumoural vaccination via checkpoint degradation-coupled antigen presentation. Nature. 650(8102). 736–747.

Ou, G., et al.. (2025). Design and Experiment of an Internet of Things-Based Wireless System for Farmland Soil Information Monitoring. Agriculture. 15(5). 467–467. 2 indexed citations

Xu, Fabao, Yu Han, Zhongwen Li, et al.. (2025). Prediction of OCT contours of short-term response to anti-VEGF treatment for diabetic macular edema using generative adversarial networks. Photodiagnosis and Photodynamic Therapy. 52. 104482–104482. 2 indexed citations

Liu, Zhaoping, Xiaohong Zhang, Ting Lin, et al.. (2025). Treponema pallidum inhibits CD4+ T-cell proliferation through METAP2: insights from Mendelian randomization analysis. AMB Express. 15(1). 126–126.

Chen, Yue, Qiong Jiang, Hongjin Liu, et al.. (2024). NAT10 promotes vascular remodelling via mRNA ac4C acetylation. European Heart Journal. 46(3). 288–304. 17 indexed citations

Shu, Tingting, Ming Tang, Pedro A. José, et al.. (2024). Effect of mitochondrial translocator protein TSPO on LPS-induced cardiac dysfunction. Journal of Advanced Research. 74. 455–469. 5 indexed citations

Zhao, Lihui, et al.. (2024). Role of gut microbiota in rheumatoid arthritis: Potential cellular mechanisms regulated by prebiotic, probiotic, and pharmacological interventions. Microbiological Research. 290. 127973–127973. 6 indexed citations

Zhang, Ziyue, Jingwen Guo, Bo He, et al.. (2023). β-aminoisobutyrics acid, a metabolite of BCAA, activates the AMPK/Nrf-2 pathway to prevent ferroptosis and ameliorates lung ischemia-reperfusion injury. Molecular Medicine. 29(1). 164–164. 15 indexed citations

Ruan, Jingya, Hongyu Jiang, Huimin Li, et al.. (2022). Structural characterization of phenolic constituents from the rhizome of Imperata cylindrica var. major and their anti-inflammatory activity. Phytochemistry. 196. 113076–113076. 12 indexed citations

10.

Xie, Jun, Yu Han, Hong Yang, et al.. (2020). Identification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics. SHILAP Revista de lepidopterología. 1 indexed citations

11.

Liu, Chao, Yunhui Hu, Yu Han, et al.. (2020). MG53 protects against contrast-induced acute kidney injury by reducing cell membrane damage and apoptosis. Acta Pharmacologica Sinica. 41(11). 1457–1464. 18 indexed citations

12.

Han, Yu, Hongmei Ren, Donghai Yang, et al.. (2019). Translocator protein 18 kDa ligand alleviates neointimal hyperplasia in the diabetic rat artery injury model via activating PKG. Life Sciences. 221. 72–82. 9 indexed citations

13.

Wang, He, Chao Liu, Hongmei Ren, et al.. (2019). TSPO ligands prevent the proliferation of vascular smooth muscle cells and attenuate neointima formation through AMPK activation. Acta Pharmacologica Sinica. 41(1). 34–46. 10 indexed citations

14.

Fu, Jinjuan, Xue Zou, Yu Han, et al.. (2016). Tirofiban induces vasorelaxation of the coronary artery via an endothelium-dependent NO-cGMP signaling by activating the PI3K/Akt/eNOS pathway. Biochemical and Biophysical Research Communications. 474(3). 599–605. 14 indexed citations

15.

Han, Yu, Yunhui Hu, Xiaoyan Wu, et al.. (2016). Targeting HO-1 by Epigallocatechin-3-Gallate Reduces Contrast-Induced Renal Injury via Anti-Oxidative Stress and Anti-Inflammation Pathways. PLoS ONE. 11(2). e0149032–e0149032. 100 indexed citations

16.

Liu, Yukai, et al.. (2013). Aliskiren and Amlodipine in the Management of Essential Hypertension: Meta-Analysis of Randomized Controlled Trials. PLoS ONE. 8(7). e70111–e70111. 10 indexed citations

17.

Han, Yu, Yukai Liu, Jinjuan Fu, et al.. (2013). Dopamine d₁-like receptors suppress proliferation of vascular smooth muscle cell induced by insulin-like growth factor-1. Clinical and Experimental Hypertension. 36(3). 140–147. 14 indexed citations

18.

Huang, Hefei, Yu Han, Xiaoyan Wang, et al.. (2011). Inhibitory Effect of the D3 Dopamine Receptor on Insulin Receptor Expression and Function in Vascular Smooth Muscle Cells. American Journal of Hypertension. 24(6). 654–660. 17 indexed citations

19.

Yang, Jian, Zhihong Cui, Dan He, et al.. (2009). Insulin Increases D5 Dopamine Receptor Expression and Function in Renal Proximal Tubule Cells From Wistar-Kyoto Rats. American Journal of Hypertension. 22(7). 770–776. 20 indexed citations

20.

Zeng, Chunyu, Yu Han, Hefei Huang, et al.. (2009). D1-like receptors inhibit insulin-induced vascular smooth muscle cell proliferation via down-regulation of insulin receptor expression. Journal of Hypertension. 27(5). 1033–1041. 19 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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