Xu Han

2.2k total citations · 1 hit paper
90 papers, 1.5k citations indexed

About

Xu Han is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Xu Han has authored 90 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 17 papers in Cancer Research and 13 papers in Immunology. Recurrent topics in Xu Han's work include MicroRNA in disease regulation (11 papers), RNA modifications and cancer (10 papers) and Cancer-related molecular mechanisms research (10 papers). Xu Han is often cited by papers focused on MicroRNA in disease regulation (11 papers), RNA modifications and cancer (10 papers) and Cancer-related molecular mechanisms research (10 papers). Xu Han collaborates with scholars based in China, United States and Germany. Xu Han's co-authors include Jing Liu, Ji Zhang, Ting Liu, Guanmin Jiang, Daming Ou, Chengmeng Jin, Li‐Hua Cheng, Xianli Xia, Wei Yu and Xiaoyan Lou and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Xu Han

79 papers receiving 1.5k citations

Hit Papers

Targeting PI3K/AKT/mTOR-mediated autophagy for tumor therapy 2019 2026 2021 2023 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Targeting PI3K/AKT/mTOR-mediated autophagy for tumor therapy
    2019 456 citations Xu Han, Jing Liu et al. profile →

Peers

Xu Han
Jieping Chen China
Jiyoon Kim South Korea
Jiaojiao Guo China
Philip J. Starkey Lewis United Kingdom
Boya Zhang China
Xiaoyu Tan China
Longmei Xu China
Yu You China
Hanmin Wang China
Jieping Chen China
Xu Han
Citations per year, relative to Xu Han Xu Han (= 1×) peers Jieping Chen

Countries citing papers authored by Xu Han

Since Specialization
Citations

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

Fields of papers citing papers by Xu Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Han

This figure shows the co-authorship network connecting the top 25 collaborators of Xu Han. A scholar is included among the top collaborators of Xu 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 Xu Han. Xu 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.
Wang, Pan, Xu Han, Kehan Ren, et al.. (2025). PPIL2 is a target of the JAK2/STAT5 pathway and promotes myeloproliferation via degradation of p53. Journal of Clinical Investigation. 135(13).
2.
Liu, Chengxi, Xiao Song, Jihai Liu, et al.. (2025). Consistency between metagenomic next-generation sequencing versus traditional microbiological tests for infective disease: systemic review and meta-analysis. Critical Care. 29(1). 55–55. 3 indexed citations
3.
Wang, Jinxuan, et al.. (2025). Large-scale 3-D magnetotelluric modeling in anisotropic media using extrapolation multigrid method on staggered grids. Computers & Geosciences. 206. 106019–106019.
4.
Ren, Kehan, Ermin Li, Yijie Liu, et al.. (2024). Development of iPSC-derived human bone marrow organoid for autonomous hematopoiesis and patient-derived HSPC engraftment. Blood Advances. 9(1). 54–65. 9 indexed citations
5.
Han, Xu, Ali Zhang, Pan Wang, et al.. (2024). Pleckstrin-2 Mediates the Activation of AKT in Prostate Cancer and Is Repressed by Androgen Receptor. American Journal Of Pathology. 194(10). 1986–1996. 5 indexed citations
6.
Yang, Chaoying, Lin Zhu, Yanyan Wang, et al.. (2024). RSL3 enhances ROS-mediated cell apoptosis of myelodysplastic syndrome cells through MYB/Bcl-2 signaling pathway. Cell Death and Disease. 15(7). 465–465. 4 indexed citations
7.
Wang, Junjie, et al.. (2024). Single-cell RNA sequencing reveals the impact of mechanical loading on knee tibial cartilage in osteoarthritis. International Immunopharmacology. 128. 111496–111496. 6 indexed citations
8.
Han, Xu, Yang Mei, Rama K. Mishra, et al.. (2023). Targeting pleckstrin-2/Akt signaling reduces proliferation in myeloproliferative neoplasm models. Journal of Clinical Investigation. 133(6). 11 indexed citations
9.
Zhang, Jiange, Ying Ren, Xu Han, et al.. (2023). Assessment of disaster preparedness and related impact factors among emergency nurses in tertiary hospitals: descriptive cross-sectional study from Henan Province of China. Frontiers in Public Health. 11. 1093959–1093959. 8 indexed citations
10.
11.
Trost, Landon, et al.. (2022). Penile surgery for patients with Peyronie’s disease initially treated with collagenase clostridium histolyticum or surgery: a claims database analysis. International Journal of Impotence Research. 35(2). 147–151. 2 indexed citations
12.
Li, Ning, et al.. (2020). Early pregnancy affects the expression of toll-like receptor pathway in ovine thymus. Reproductive Biology. 20(4). 547–554. 11 indexed citations
13.
Liu, Yijie, Yang Mei, Xu Han, et al.. (2020). Membrane skeleton modulates erythroid proteome remodeling and organelle clearance. Blood. 137(3). 398–409. 13 indexed citations
14.
Han, Xu, et al.. (2019). Overexpression miR‐24‐3p repressed Bim expression to confer tamoxifen resistance in breast cancer. Journal of Cellular Biochemistry. 120(8). 12966–12976. 31 indexed citations
15.
Chen, Jianhong, et al.. (2019). A prediction model on rockburst intensity grade based on variable weight and matter-element extension. PLoS ONE. 14(6). e0218525–e0218525. 18 indexed citations
16.
Zhang, Jingxin, Yijie Liu, Xu Han, et al.. (2019). Rats provide a superior model of human stress erythropoiesis. Experimental Hematology. 78. 21–34.e3. 19 indexed citations
17.
Han, Xu, et al.. (2018). Suppression of the long non-coding RNA MALAT-1 impairs the growth and migration of human tongue squamous cell carcinoma SCC4 cells. Archives of Medical Science. 15(4). 992–1000. 12 indexed citations
18.
Han, Xu, Jieying Zhang, X Chen, et al.. (2016). Unexpected role for p19INK4d in posttranscriptional regulation of GATA1 and modulation of human terminal erythropoiesis. Blood. 129(2). 226–237. 19 indexed citations
19.
Jin, Chengmeng, Wei Yu, Xiaoyan Lou, et al.. (2013). UCHL1 Is a Putative Tumor Suppressor in Ovarian Cancer Cells and Contributes to Cisplatin Resistance. Journal of Cancer. 4(8). 662–670. 61 indexed citations
20.
Wang, Xinzhong, Xu Han, & Mao Hanping. (2012). Vision-based detection of tomato main stem in greenhouse with red rope. Nongye gongcheng xuebao. 28(21). 6 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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