Xiaocen Liu

1.2k total citations · 1 hit paper
32 papers, 732 citations indexed

About

Xiaocen Liu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaocen Liu has authored 32 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaocen Liu's work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (4 papers). Xiaocen Liu is often cited by papers focused on RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (4 papers). Xiaocen Liu collaborates with scholars based in China, Switzerland and Sweden. Xiaocen Liu's co-authors include Hui Yang, Kun Lv, Mingzhe Ma, Yiren Hu, Yan Zhang, Ye Hu, Mingzhe Weng, Ping Wan, Hongping Xia and Xiaojun Ma and has published in prestigious journals such as ACS Nano, Diabetes and Chemical Communications.

In The Last Decade

Xiaocen Liu

31 papers receiving 729 citations

Hit Papers

Hypoxia inducible lncRNA-CBSLR modulates ferroptosis thro... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaocen Liu China 13 367 253 177 104 72 32 732
Dejun Yang China 20 452 1.2× 223 0.9× 80 0.5× 138 1.3× 99 1.4× 44 899
Jiantao Zhang China 15 359 1.0× 265 1.0× 68 0.4× 97 0.9× 25 0.3× 35 693
Liuhua Chen China 14 386 1.1× 305 1.2× 83 0.5× 44 0.4× 81 1.1× 35 721
Yanru Qin China 15 278 0.8× 133 0.5× 93 0.5× 115 1.1× 48 0.7× 52 797
Qinglian Wen China 18 284 0.8× 161 0.6× 100 0.6× 195 1.9× 47 0.7× 48 756
Gaohua Han China 14 399 1.1× 229 0.9× 132 0.7× 123 1.2× 48 0.7× 39 637
Kun Yu China 14 273 0.7× 119 0.5× 64 0.4× 125 1.2× 61 0.8× 33 735
Dekun Wang China 21 561 1.5× 260 1.0× 192 1.1× 106 1.0× 37 0.5× 49 1.3k
Shik Nie Kong Singapore 7 296 0.8× 166 0.7× 107 0.6× 76 0.7× 23 0.3× 8 497

Countries citing papers authored by Xiaocen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaocen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaocen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaocen Liu. A scholar is included among the top collaborators of Xiaocen 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 Xiaocen Liu. Xiaocen 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.
Liu, He, Xiaocen Liu, Ruonan Liu, et al.. (2025). Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring. Nano-Micro Letters. 17(1). 319–319. 9 indexed citations
3.
Yang, Hui, et al.. (2024). Enhancing metastatic colorectal cancer prediction through advanced feature selection and machine learning techniques. International Immunopharmacology. 142(Pt A). 113033–113033. 3 indexed citations
4.
Zhu, Yuanchao, Lei Liu, Zhiyong Zhang, et al.. (2024). O-GlcNAcylation regulation of RIPK1-dependent apoptosis dictates sensitivity to sunitinib in renal cell carcinoma. Drug Resistance Updates. 77. 101150–101150. 11 indexed citations
5.
Huang, Guixiao, Qifang Lei, Dashi Deng, et al.. (2024). Fluorinated Chitosan‐Mediated Transepithelial Delivery of Intravesical Dual‐Drug Immunotherapeutic for Bladder Cancer Therapy. Advanced Therapeutics. 7(7). 3 indexed citations
6.
Yang, Zhen, Xiaocen Liu, Hao Xu, et al.. (2024). Integrative analysis of genomic and epigenomic regulation reveals miRNA mediated tumor heterogeneity and immune evasion in lower grade glioma. Communications Biology. 7(1). 824–824. 32 indexed citations
7.
Zheng, Zaosong, Yuanchao Zhu, Qiong Wang, et al.. (2024). CircPPAP2B controls metastasis of clear cell renal cell carcinoma via HNRNPC-dependent alternative splicing and targeting the miR-182-5p/CYP1B1 axis. Molecular Cancer. 23(1). 4–4. 36 indexed citations
8.
Huang, Jun, Xiaocen Liu, Nana Wang, et al.. (2024). Targeted proteomics profiling reveals valuable biomarkers in the diagnosis of primary immune thrombocytopaenia. British Journal of Haematology. 206(1). 133–143. 1 indexed citations
9.
Zhu, Xiaolong, Xingwei Wu, Hui Yang, et al.. (2023). m6A-mediated upregulation of LINC01003 regulates cell migration by targeting the CAV1/FAK signaling pathway in glioma. Biology Direct. 18(1). 27–27. 4 indexed citations
11.
Yang, Hui, Xiaocen Liu, Xiaolong Zhu, et al.. (2022). GINS1 promotes the proliferation and migration of glioma cells through USP15-mediated deubiquitination of TOP2A. iScience. 25(9). 104952–104952. 18 indexed citations
12.
Li, Qingqing, Hui Yang, Peipei Wang, et al.. (2022). XGBoost-based and tumor-immune characterized gene signature for the prediction of metastatic status in breast cancer. Journal of Translational Medicine. 20(1). 177–177. 56 indexed citations
13.
Ma, Mingzhe, Pengfei Kong, Yakai Huang, et al.. (2022). Activation of MAT2A-ACSL3 pathway protects cells from ferroptosis in gastric cancer. Free Radical Biology and Medicine. 181. 288–299. 50 indexed citations
14.
Zhu, Xiaolong, Hui Yang, Mengying Zhang, et al.. (2021). YTHDC1-mediated VPS25 regulates cell cycle by targeting JAK-STAT signaling in human glioma cells. Cancer Cell International. 21(1). 645–645. 28 indexed citations
15.
Liu, Xiaocen, Mengying Zhang, Xiaolong Zhu, et al.. (2021). Loss of FAM60A attenuates cell proliferation in glioma via suppression of PI3K/Akt/mTOR signaling pathways. Translational Oncology. 14(11). 101196–101196. 8 indexed citations
16.
Yang, Hui, Xiaocen Liu, Xiaolong Zhu, et al.. (2021). CPVL promotes glioma progression via STAT1 pathway inhibition through interactions with the BTK/p300 axis. JCI Insight. 6(24). 17 indexed citations
17.
Yang, Hui, Yiren Hu, Mingzhe Weng, et al.. (2021). Hypoxia inducible lncRNA-CBSLR modulates ferroptosis through m6A-YTHDF2-dependent modulation of CBS in gastric cancer. Journal of Advanced Research. 37. 91–106. 190 indexed citations breakdown →
18.
Cao, Zhenjie, Lu Wang, Yajing Xiang, et al.. (2018). MHC class IIα polymorphism and its association with resistance/susceptibility to Vibrio harveyi in golden pompano ( Trachinotus ovatus ). Fish & Shellfish Immunology. 80. 302–310. 6 indexed citations
19.
Wang, Bing, Dandan Wang, Shan Zhao, et al.. (2016). Evaluate the ability of PVP to inhibit crystallization of amorphous solid dispersions by density functional theory and experimental verify. European Journal of Pharmaceutical Sciences. 96. 45–52. 63 indexed citations
20.
Ren, Ying, Hongguo Xie, Xiaocen Liu, et al.. (2016). Tuning the formation and stability of microcapsules by environmental conditions and chitosan structure. International Journal of Biological Macromolecules. 91. 1090–1100. 21 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026