Xijuan Liu

1.8k total citations · 1 hit paper
42 papers, 1.1k citations indexed

About

Xijuan Liu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xijuan Liu has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 22 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Xijuan Liu's work include Cancer-related molecular mechanisms research (13 papers), Cancer, Hypoxia, and Metabolism (8 papers) and Circular RNAs in diseases (8 papers). Xijuan Liu is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), Cancer, Hypoxia, and Metabolism (8 papers) and Circular RNAs in diseases (8 papers). Xijuan Liu collaborates with scholars based in China, United States and Taiwan. Xijuan Liu's co-authors include Qing Zhang, Chengheng Liao, Cheng Zhang, Bin Dong, Jingyu Jia, Albert S. Baldwin, Lianxin Hu, Liyi Zhang, Jun Wang and Chao Lv and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and PLoS ONE.

In The Last Decade

Xijuan Liu

40 papers receiving 1.1k citations

Hit Papers

Tumor hypoxia: From basic knowledge to therapeutic implic... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xijuan Liu China 16 554 324 286 198 158 42 1.1k
Yuanyu Wang China 24 695 1.3× 284 0.9× 492 1.7× 208 1.1× 123 0.8× 64 1.3k
Xiuwu Pan China 21 627 1.1× 238 0.7× 295 1.0× 353 1.8× 184 1.2× 72 1.1k
Xing Bao China 17 623 1.1× 260 0.8× 405 1.4× 211 1.1× 122 0.8× 31 1.1k
Jianjun Zhou China 16 710 1.3× 795 2.5× 324 1.1× 202 1.0× 186 1.2× 33 1.6k
Yunfei Xu China 27 1.1k 1.9× 484 1.5× 432 1.5× 197 1.0× 195 1.2× 98 1.8k
Miao Chen China 16 307 0.6× 271 0.8× 195 0.7× 90 0.5× 186 1.2× 44 1.1k
Bingyi Lin China 18 455 0.8× 190 0.6× 183 0.6× 169 0.9× 130 0.8× 48 910
Tingting Zhong China 19 394 0.7× 221 0.7× 201 0.7× 98 0.5× 152 1.0× 82 1.1k
Manisha Tripathi United States 15 464 0.8× 308 1.0× 237 0.8× 323 1.6× 189 1.2× 34 1.2k
Dongwang Zhu China 23 805 1.5× 371 1.1× 511 1.8× 156 0.8× 174 1.1× 56 1.5k

Countries citing papers authored by Xijuan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xijuan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xijuan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xijuan Liu. A scholar is included among the top collaborators of Xijuan Liu 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 Xijuan Liu. Xijuan Liu 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, Yameng, Keying Guo, Zhen Zhang, et al.. (2025). Identification and functional characterization of T-cell exhaustion-associated lncRNA AL031775.1 in osteosarcoma: a novel therapeutic target. Frontiers in Immunology. 16. 1517971–1517971.
2.
Wang, Yameng, et al.. (2025). Long non-coding RNA AC133552.2: biomarker and therapeutic target in osteosarcoma via PANoptosis gene screening. Scientific Reports. 15(1). 9180–9180. 2 indexed citations
4.
Liu, Xijuan, et al.. (2023). Plasma exosome miRNA-26b-3p derived from idiopathic short stature impairs longitudinal bone growth via the AKAP2/ERK1/2 axis. Journal of Nanobiotechnology. 21(1). 94–94. 9 indexed citations
5.
Zhi, Du, et al.. (2023). Exploring the immune microenvironment of osteosarcoma through T cell exhaustion-associated gene expression: a study on prognosis prediction. Frontiers in Immunology. 14. 1265098–1265098. 9 indexed citations
6.
Wu, Zhiwen, Du Zhi, Ming Yin, et al.. (2022). Hsa_circ_0008870 suppresses bone formation of growth plate through inhibition of miR-185-3p/ MAPK1 axis in idiopathic short stature. Frontiers in Bioengineering and Biotechnology. 10. 1022830–1022830. 3 indexed citations
7.
Liu, Xijuan, et al.. (2021). Exploring the Mechanism of Action of Banxia Baizhu Tianma Decoction against Preeclampsia by a Network Pharmacology Approach. Evidence-based Complementary and Alternative Medicine. 2021. 1–15. 1 indexed citations
8.
Ding, Rui, et al.. (2021). Downregulation of miR-1-3p expression inhibits the hypertrophy and mineralization of chondrocytes in DDH. Journal of Orthopaedic Surgery and Research. 16(1). 512–512. 7 indexed citations
9.
Meng, Zilin, Xin Fan, Ruisen Jing, et al.. (2020). Removal of heavy metals from soil by vermiculite supported layered double hydroxides with three-dimensional hierarchical structure. Chemical Engineering Journal. 390. 124554–124554. 98 indexed citations
10.
Hong, Kai, Lianxin Hu, Xijuan Liu, et al.. (2020). USP37 promotes deubiquitination of HIF2α in kidney cancer. Proceedings of the National Academy of Sciences. 117(23). 13023–13032. 39 indexed citations
11.
Hu, Lianxin, Haibiao Xie, Xijuan Liu, et al.. (2019). TBK1 Is a Synthetic Lethal Target in Cancer with VHL Loss. Cancer Discovery. 10(3). 460–475. 72 indexed citations
13.
Li, Hong, Haiyan Du, Guang‐Xian Zhang, et al.. (2019). Curcumin plays a synergistic role in combination with HSV-TK/GCV in inhibiting growth of murine B16 melanoma cells and melanoma xenografts. PeerJ. 7. e7760–e7760. 12 indexed citations
14.
Li, Mingzhu, Qiang Liao, Xijuan Liu, et al.. (2019). Effect of sulfadiazine on soil respiration and enzyme activity under copper stress.. Nongye huanjing kexue xuebao. 38(9). 2121–2128. 1 indexed citations
15.
Zhang, Hong, Linsen Li, Yuxia Wang, et al.. (2017). Functional analysis of BRCT missense mutations in BRCA1‑mutated Chinese Han familial breast cancer. Oncology Letters. 14(5). 5839–5844. 2 indexed citations
16.
Han, Haibo, Lina Wu, Bo Pan, et al.. (2017). iASPP facilitates tumor growth by promoting mTOR-dependent autophagy in human non-small-cell lung cancer. Cell Death and Disease. 8(10). e3150–e3150. 20 indexed citations
17.
Zhang, Panpan, Yuanyuan Ma, Chao Lv, et al.. (2016). Upregulation of programmed cell death ligand 1 promotes resistance response in non‐small‐cell lung cancer patients treated with neo‐adjuvant chemotherapy. Cancer Science. 107(11). 1563–1571. 144 indexed citations
18.
Xiao, Jianyong, Guang‐Xian Zhang, Bin Li, et al.. (2016). Dioscin augments HSV-tk-mediated suicide gene therapy for melanoma by promoting connexin-based intercellular communication. Oncotarget. 8(1). 798–807. 21 indexed citations
19.
Zhu, Yan, Tiantian Tian, Jianling Zou, et al.. (2015). Dual PI3K/mTOR inhibitor BEZ235 exerts extensive antitumor activity in HER2-positive gastric cancer. BMC Cancer. 15(1). 894–894. 26 indexed citations
20.
Cao, Lu, et al.. (2001). [Association analysis of attempted suicide and 5-HT2A receptor gene].. PubMed. 18(3). 195–7. 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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