Xiaojian Han

996 total citations
42 papers, 528 citations indexed

About

Xiaojian Han is a scholar working on Mechanics of Materials, Molecular Biology and Oncology. According to data from OpenAlex, Xiaojian Han has authored 42 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanics of Materials, 14 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in Xiaojian Han's work include Mechanical Behavior of Composites (14 papers), CAR-T cell therapy research (9 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). Xiaojian Han is often cited by papers focused on Mechanical Behavior of Composites (14 papers), CAR-T cell therapy research (9 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). Xiaojian Han collaborates with scholars based in China, Japan and United States. Xiaojian Han's co-authors include Meiying Shen, Aishun Jin, Yuying Wan, Liping Jiang, Zhang‐Jian Yang, Yangyang Hu, Hongli Wu, Licheng Guo, Tingting Li and Wang Wang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Neuroscience.

In The Last Decade

Xiaojian Han

41 papers receiving 523 citations

Peers

Xiaojian Han
Xia Pu China
Danielle E. White United Kingdom
Ouyang Li China
Mary Kozma United Kingdom
Xia Pu China
Xiaojian Han
Citations per year, relative to Xiaojian Han Xiaojian Han (= 1×) peers Xia Pu

Countries citing papers authored by Xiaojian Han

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojian Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojian Han

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojian Han. A scholar is included among the top collaborators of Xiaojian 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 Xiaojian Han. Xiaojian 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.
Liu, Xiaodong, Kai Huang, Yuhang Liu, et al.. (2025). Multivariate damage mode identification method for fiber-reinforced composites at high temperatures by acoustic emission. Engineering Failure Analysis. 176. 109618–109618. 2 indexed citations
2.
Han, Xiaojian, Yanan Hao, Bozhi Wang, et al.. (2025). Identification of novel KRASG12D neoantigen specific TCRs and a strategy to eliminate off-target recognition. Journal of Translational Medicine. 23(1). 78–78. 3 indexed citations
3.
Han, Xiaojian, et al.. (2025). A highly efficient ANN-based multiscale failure model for hierarchical fiber-reinforced composites. Thin-Walled Structures. 217. 113850–113850. 1 indexed citations
4.
Shen, Meiying, Yanan Hao, Bozhi Wang, et al.. (2025). Therapeutic potential of T-cell receptor targeting the HLA-A*11:01-restricted KRASG12V neoantigen without cross-recognition of the self-antigen RAB7B in solid tumors. Journal for ImmunoTherapy of Cancer. 13(7). e011863–e011863. 1 indexed citations
5.
Chen, Zhanguang, Tao Zheng, Li Zhang, et al.. (2025). A deep learning unified model for predicting the residual stiffness of plain weave composites under combined high and low cycle fatigue loading. International Journal of Fatigue. 199. 109035–109035. 2 indexed citations
6.
Liu, Xiaodong, Kai Huang, Xiaojian Han, et al.. (2025). Temperature effect on the fatigue properties of CFRP bolted joints by combining DIC, AE and IRT techniques. Thin-Walled Structures. 215. 113522–113522. 1 indexed citations
7.
Zheng, Tao, Hao Lu, Li Zhang, et al.. (2025). Failure analysis of plain-woven composites using acoustic emission technique with emphasis on different temperature effects. Composite Structures. 374. 119756–119756.
8.
Huang, Kai, Tao Zheng, Xiaodong Liu, et al.. (2024). Exploring shear nonlinearity of plain-woven composites at various temperatures based on machine learning. Composite Structures. 346. 118434–118434. 9 indexed citations
9.
Chen, Zhanguang, Tao Zheng, Li Zhang, et al.. (2024). Experimental investigation on the fatigue life and damage mechanism of plain weave composites under biaxial tension–torsion combined fatigue loading. International Journal of Fatigue. 187. 108425–108425. 8 indexed citations
10.
Liu, Xiaodong, et al.. (2024). Temperature effects on fatigue properties of plain-woven composites by an acoustic-optical-thermal multi-information fusion method. International Journal of Fatigue. 193. 108757–108757. 9 indexed citations
11.
Lü, Zhuo, Guifeng Sun, Zhen Zhang, et al.. (2024). Targeted inhibition of branched-chain amino acid metabolism drives apoptosis of glioblastoma by facilitating ubiquitin degradation of Mfn2 and oxidative stress. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(5). 167220–167220. 14 indexed citations
12.
Han, Xiaojian, et al.. (2024). PFKP deubiquitination and stabilization by USP5 activate aerobic glycolysis to promote triple-negative breast cancer progression. Breast Cancer Research. 26(1). 10–10. 12 indexed citations
13.
Chen, Qian, Meiying Shen, Min Yan, et al.. (2024). Targeting tumor-infiltrating CCR8+ regulatory T cells induces antitumor immunity through functional restoration of CD4+ Tconvs and CD8+ T cells in colorectal cancer. Journal of Translational Medicine. 22(1). 709–709. 12 indexed citations
14.
Liu, Yingbin, Shuai Yu, Xiaojian Han, et al.. (2023). An efficient new adaptive variational mode decomposition algorithm for extracting adventitious lung sounds. Biomedical Signal Processing and Control. 89. 105700–105700. 4 indexed citations
15.
Gao, Fengxia, Rui‐Xin Wu, Meiying Shen, et al.. (2022). Extended SARS-CoV-2 RBD booster vaccination induces humoral and cellular immune tolerance in mice. iScience. 25(12). 105479–105479. 29 indexed citations
16.
Du, Li, Meiying Shen, Tingting Li, et al.. (2021). IL-21 Optimizes the CAR-T Cell Preparation Through Improving Lentivirus Mediated Transfection Efficiency of T Cells and Enhancing CAR-T Cell Cytotoxic Activities. Frontiers in Molecular Biosciences. 8. 675179–675179. 36 indexed citations
17.
Zhang, Jing, Meiying Shen, Xiaojian Han, et al.. (2021). p38 inhibition enhances TCR-T cell function and antagonizes the immunosuppressive activity of TGF-β. International Immunopharmacology. 98. 107848–107848. 10 indexed citations
18.
Gao, Fengxia, Jingjing Huang, Tingting Li, et al.. (2021). A Highly Conserved Peptide Vaccine Candidate Activates Both Humoral and Cellular Immunity Against SARS-CoV-2 Variant Strains. Frontiers in Immunology. 12. 789905–789905. 7 indexed citations
19.
Hu, Yunlong, Tatsuhiko Ozawa, Xin Sun, et al.. (2018). Analysis of the clinical significance of DCLK1<sup>+</sup> colorectal cancer using novel monoclonal antibodies against DCLK1. OncoTargets and Therapy. Volume 11. 5047–5057. 11 indexed citations
20.
Wang, Xiaoyu, Mingxi Gan, Yong Li, et al.. (2014). Cdc42 induces EGF receptor protein accumulation and promotes EGF receptor nuclear transport and cellular transformation. FEBS Letters. 589(2). 255–262. 9 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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