Yixiang Han

1.2k total citations
32 papers, 923 citations indexed

About

Yixiang Han is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Yixiang Han has authored 32 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Epidemiology and 8 papers in Immunology. Recurrent topics in Yixiang Han's work include Immune Cell Function and Interaction (6 papers), Bioactive natural compounds (5 papers) and Autophagy in Disease and Therapy (5 papers). Yixiang Han is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Bioactive natural compounds (5 papers) and Autophagy in Disease and Therapy (5 papers). Yixiang Han collaborates with scholars based in China, United States and Poland. Yixiang Han's co-authors include Shenghui Zhang, Jianbo Wu, Yu Kang, Songfu Jiang, Kang Yu, Xi Xu, Laixi Bi, Yuqing Dong, Zhijie Yu and Junqing Wu and has published in prestigious journals such as PLoS ONE, International Journal of Cancer and Frontiers in Immunology.

In The Last Decade

Yixiang Han

31 papers receiving 912 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yixiang Han China 17 371 350 250 226 101 32 923
Zhihui Min China 19 442 1.2× 424 1.2× 216 0.9× 366 1.6× 62 0.6× 42 1.2k
Saeid Abroun Iran 20 684 1.8× 227 0.6× 331 1.3× 368 1.6× 192 1.9× 72 1.2k
Guoying Zhang China 14 307 0.8× 239 0.7× 102 0.4× 106 0.5× 86 0.9× 31 846
Fiorella Petrelli Italy 8 214 0.6× 166 0.5× 93 0.4× 111 0.5× 59 0.6× 14 742
Donghua He China 16 321 0.9× 274 0.8× 183 0.7× 317 1.4× 42 0.4× 59 796
Michi Tanaka Japan 14 232 0.6× 147 0.4× 81 0.3× 107 0.5× 81 0.8× 25 959
Giusi Barra Italy 18 302 0.8× 365 1.0× 62 0.2× 300 1.3× 24 0.2× 43 976
Sarmishtha De United States 13 574 1.5× 126 0.4× 143 0.6× 263 1.2× 52 0.5× 22 1.1k
Yiqing Chi United States 13 555 1.5× 137 0.4× 280 1.1× 103 0.5× 69 0.7× 16 933
Chenying Zeng China 14 755 2.0× 218 0.6× 44 0.2× 138 0.6× 47 0.5× 30 1.0k

Countries citing papers authored by Yixiang Han

Since Specialization
Citations

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

Fields of papers citing papers by Yixiang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yixiang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Yixiang Han. A scholar is included among the top collaborators of Yixiang 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 Yixiang Han. Yixiang Han 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.
Sun, Chuanzhi, et al.. (2024). Numerical Investigation on the Seismic Behavior of Novel Precast Beam–Column Joints with Mechanical Connections. Buildings. 14(5). 1199–1199. 5 indexed citations
2.
Wu, Shuang, et al.. (2024). CD44: a cancer stem cell marker and therapeutic target in leukemia treatment. Frontiers in Immunology. 15. 1354992–1354992. 15 indexed citations
3.
4.
Han, Yixiang, Rongrong Chen, Cheng Chen, et al.. (2023). MicroRNA-143 acts as a tumor suppressor through Musashi-2/DLL1/Notch1 and Musashi-2/Snail1/MMPs axes in acute myeloid leukemia. Journal of Translational Medicine. 21(1). 309–309. 3 indexed citations
5.
Huang, Ziyang, Jifan Zhou, Yixiang Han, et al.. (2023). Combined inhibition of XIAP and autophagy induces apoptosis and differentiation in acute myeloid leukaemia. Journal of Cellular and Molecular Medicine. 27(12). 1682–1696. 3 indexed citations
6.
Dong, Yuqing, Yixiang Han, Songfu Jiang, et al.. (2020). PD-L1 Is Expressed and Promotes the Expansion of Regulatory T Cells in Acute Myeloid Leukemia. Frontiers in Immunology. 11. 1710–1710. 68 indexed citations
7.
Han, Yixiang, Yifen Shi, Wanling Xu, et al.. (2018). Benzene induces haematotoxicity by promoting deacetylation and autophagy. Journal of Cellular and Molecular Medicine. 23(2). 1022–1033. 26 indexed citations
8.
Han, Yixiang, Yuqing Dong, Qianqian Yang, et al.. (2018). Acute Myeloid Leukemia Cells Express ICOS Ligand to Promote the Expansion of Regulatory T Cells. Frontiers in Immunology. 9. 2227–2227. 71 indexed citations
9.
Li, Jiaqi, Songfu Jiang, Yi Chen, et al.. (2017). Benzene metabolite hydroquinone induces apoptosis of bone marrow mononuclear cells through inhibition of β-catenin signaling. Toxicology in Vitro. 46. 361–369. 20 indexed citations
10.
Yang, Dehao, Yiyun Weng, Fang Yin, et al.. (2016). Serum uric acid levels in patients with myasthenia gravis are inversely correlated with disability. Neuroreport. 27(5). 301–305. 6 indexed citations
11.
Sun, Lan, Jiaqi Li, Junqing Wu, et al.. (2016). MAP30 inhibits autophagy through enhancing acetyltransferase p300 and induces apoptosis in acute myeloid leukemia cells. Oncology Reports. 35(6). 3705–3713. 16 indexed citations
12.
Chen, Jingjing, Yi Chen, Jiaqi Li, et al.. (2016). Histone Deacetylase Inhibitors Trichostatin A and MCP30 Relieve Benzene-Induced Hematotoxicity via Restoring Topoisomerase IIα. PLoS ONE. 11(4). e0153330–e0153330. 11 indexed citations
13.
Bi, Laixi, Junqing Wu, Jianbo Wu, et al.. (2016). Increased Th17 cells and IL-17A exist in patients with B cell acute lymphoblastic leukemia and promote proliferation and resistance to daunorubicin through activation of Akt signaling. Journal of Translational Medicine. 14(1). 132–132. 25 indexed citations
14.
Zhang, Shenghui, Yan Zhang, Yan Zhuang, et al.. (2012). Matrine Induces Apoptosis in Human Acute Myeloid Leukemia Cells via the Mitochondrial Pathway and Akt Inactivation. PLoS ONE. 7(10). e46853–e46853. 106 indexed citations
15.
Han, Yixiang. (2011). Significance of HPV infection and p16 expression in cervical squamous cancer. Zhongguo yiyuan ganranxue zazhi. 1 indexed citations
16.
Jiang, Lei, Kang Yu, Jimei Du, et al.. (2011). Inhibition of p38 MAPK activity in B-NHL Raji cells by treatment with engineered CD20-specific T cells. Oncology Letters. 2(4). 753–758. 3 indexed citations
17.
Jiang, Lei, Feiyan Lin, Shenmeng Gao, et al.. (2011). Lentivirus-mediated overexpression of TGF-β inducible early gene 1 inhibits SW1990 pancreatic cancer cell growth. Cell Biology International. 35(9). 891–896. 5 indexed citations
18.
Zhang, Shenghui, et al.. (2010). Elevated frequencies of CD4+CD25+CD127lo regulatory T cells is associated to poor prognosis in patients with acute myeloid leukemia. International Journal of Cancer. 129(6). 1373–1381. 156 indexed citations
19.
Han, Yixiang. (2009). An Experimental Study of the Inhibiting Effect of matrine on Human nasopharyngeal carcinoma cells line CNE2 Proliferation. 1 indexed citations
20.
Han, Yixiang, Shenghui Zhang, Ximing Wang, & Jianbo Wu. (2006). Inhibition of mitochondria responsible for the anti-apoptotic effects of melatonin during ischemia-reperfusion. Journal of Zhejiang University SCIENCE B. 7(2). 142–147. 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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