Xuejing Shao

1.3k total citations
36 papers, 831 citations indexed

About

Xuejing Shao is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Xuejing Shao has authored 36 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Epidemiology. Recurrent topics in Xuejing Shao's work include Ubiquitin and proteasome pathways (11 papers), Acute Myeloid Leukemia Research (8 papers) and Protein Degradation and Inhibitors (8 papers). Xuejing Shao is often cited by papers focused on Ubiquitin and proteasome pathways (11 papers), Acute Myeloid Leukemia Research (8 papers) and Protein Degradation and Inhibitors (8 papers). Xuejing Shao collaborates with scholars based in China, United States and Belgium. Xuejing Shao's co-authors include Qiaojun He, Ji Cao, Meidan Ying, Bo Yang, Yingqian Chen, Senfeng Xiang, Hong Zhu, Bo Yang, Qian Zhou and Miao Xian and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Blood.

In The Last Decade

Xuejing Shao

31 papers receiving 830 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuejing Shao China	17	536	213	192	180	147	36	831
Yuanjun Jiang China	18	365 0.7×	117 0.5×	175 0.9×	115 0.6×	111 0.8×	47	734
Tomohiko Sakabe Japan	17	475 0.9×	248 1.2×	197 1.0×	130 0.7×	98 0.7×	43	991
Qinlian Jiao China	11	508 0.9×	240 1.1×	245 1.3×	72 0.4×	104 0.7×	17	838
Xiaobo Cao United States	18	554 1.0×	215 1.0×	85 0.4×	97 0.5×	241 1.6×	27	861
Filippa Pettersson Canada	18	654 1.2×	220 1.0×	96 0.5×	90 0.5×	67 0.5×	26	884
Xiaohui Pan China	16	517 1.0×	217 1.0×	306 1.6×	188 1.0×	109 0.7×	27	853
Bojie Dai United States	18	697 1.3×	194 0.9×	193 1.0×	113 0.6×	264 1.8×	30	1.1k
Jinglei Qu China	19	611 1.1×	469 2.2×	297 1.5×	183 1.0×	213 1.4×	50	1.1k
Caixia Suo China	14	501 0.9×	108 0.5×	394 2.1×	220 1.2×	139 0.9×	17	895

Countries citing papers authored by Xuejing Shao

Since Specialization

Citations

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

Fields of papers citing papers by Xuejing Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuejing Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Xuejing Shao. A scholar is included among the top collaborators of Xuejing Shao 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 Xuejing Shao. Xuejing Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Haiyan, Jun Jin, Yahui Liang, et al.. (2025). Metabolomics and metabolites in cancer diagnosis and treatment. Molecular Biomedicine. 6(1). 109–109. 1 indexed citations

Xiang, Senfeng, Pengfei Chen, Haoyang Cai, et al.. (2025). Disruption of the KLHL37–N-Myc complex restores N-Myc degradation and arrests neuroblastoma growth in mouse models. Journal of Clinical Investigation. 135(14).

Wang, Zhaoxiang, et al.. (2025). Metabolic Score for Visceral Fat as a Predictor of All-Cause and Cardiovascular Mortality in US Adults with Diabetes or Prediabetes. Hormone and Metabolic Research. 57(10). 583–592.

Wang, Zhaoxiang, et al.. (2025). Causal relationships between plasma lipidome and diabetic neuropathy: a Mendelian randomization study. Frontiers in Endocrinology. 15. 1398691–1398691. 1 indexed citations

Shao, Chen, Wenxin Du, Ji Cao, et al.. (2025). P2RY8::TSC22D3 is a novel fusion associated with chemoresistance in leukemia by activating PI3K-AKT pathway. Cancer Letters. 633. 218040–218040.

Wang, Zhaoxiang, et al.. (2024). The relationship between weight-adjusted-waist index and diabetic kidney disease in patients with type 2 diabetes mellitus. Frontiers in Endocrinology. 15. 1345411–1345411. 24 indexed citations

Wang, Zhaoxiang, et al.. (2024). Muscle quality index is associated with depression among non-elderly US adults. BMC Psychiatry. 24(1). 672–672. 3 indexed citations

Xian, Miao, Jiayi Liu, Xiaomin Wang, et al.. (2024). Succinate dehydrogenase deficiency-driven succinate accumulation induces drug resistance in acute myeloid leukemia via ubiquitin-cullin regulation. Nature Communications. 15(1). 9820–9820. 7 indexed citations

Shao, Xuejing, Wei Wang, Aixiao Xu, et al.. (2024). Palmitoyltransferase ZDHHC3 is essential for the oncogenic activity of PML/RARα in acute promyelocytic leukemia. Acta Pharmacologica Sinica. 46(2). 462–473. 3 indexed citations

10.

Chen, Yingqian, et al.. (2023). Driving the degradation of oncofusion proteins for targeted cancer therapy. Drug Discovery Today. 28(6). 103584–103584. 3 indexed citations

11.

Shao, Xuejing, Yingqian Chen, Aixiao Xu, et al.. (2022). Deneddylation of PML/RARα reconstructs functional PML nuclear bodies via orchestrating phase separation to eradicate APL. Cell Death and Differentiation. 29(8). 1654–1668. 18 indexed citations

12.

Chen, Yingqian, Chen Wang, Ning Zhang, et al.. (2021). Advances in targeted therapy for osteosarcoma based on molecular classification. Pharmacological Research. 169. 105684–105684. 58 indexed citations

13.

Xiang, Senfeng, Pengfei Chen, Ji Cao, et al.. (2021). Targeting Cul3-scaffold E3 ligase complex via KLHL substrate adaptors for cancer therapy. Pharmacological Research. 169. 105616–105616. 10 indexed citations

14.

Shao, Xuejing, Senfeng Xiang, Huarui Fu, et al.. (2019). CDK2 suppression synergizes with all-trans-retinoic acid to overcome the myeloid differentiation blockade of AML cells. Pharmacological Research. 151. 104545–104545. 14 indexed citations

15.

Xu, Aixiao, Ji Cao, Hong Zhu, et al.. (2019). Post-translational modification of retinoic acid receptor alpha and its roles in tumor cell differentiation. Biochemical Pharmacology. 171. 113696–113696. 12 indexed citations

16.

Chen, Yingqian, Ji Cao, Ning Zhang, et al.. (2019). Advances in differentiation therapy for osteosarcoma. Drug Discovery Today. 25(3). 497–504. 36 indexed citations

17.

Xu, Tong, Chao Huang, Xiaotian Qi, et al.. (2018). 2-Bromopalmitate sensitizes osteosarcoma cells to adriamycin-induced apoptosis via the modulation of CHOP. European Journal of Pharmacology. 844. 204–215. 18 indexed citations

18.

Zhou, Qian, Miao Xian, Senfeng Xiang, et al.. (2017). All-Trans Retinoic Acid Prevents Osteosarcoma Metastasis by Inhibiting M2 Polarization of Tumor-Associated Macrophages. Cancer Immunology Research. 5(7). 547–559. 121 indexed citations

19.

Shen, Jiajia, Pengyu Li, Xuejing Shao, et al.. (2017). The E3 Ligase RING1 Targets p53 for Degradation and Promotes Cancer Cell Proliferation and Survival. Cancer Research. 78(2). 359–371. 51 indexed citations

20.

Shao, Xuejing, Yujia Liu, Yangling Li, et al.. (2016). The HER2 inhibitor TAK165 Sensitizes Human Acute Myeloid Leukemia Cells to Retinoic Acid-Induced Myeloid Differentiation by activating MEK/ERK mediated RARα/STAT1 axis. Scientific Reports. 6(1). 24589–24589. 20 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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