Shaomu Chen

434 total citations
10 papers, 330 citations indexed

About

Shaomu Chen is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Shaomu Chen has authored 10 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cancer Research and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Shaomu Chen's work include MicroRNA in disease regulation (6 papers), RNA modifications and cancer (3 papers) and Circular RNAs in diseases (3 papers). Shaomu Chen is often cited by papers focused on MicroRNA in disease regulation (6 papers), RNA modifications and cancer (3 papers) and Circular RNAs in diseases (3 papers). Shaomu Chen collaborates with scholars based in China. Shaomu Chen's co-authors include Haitao Huang, Shu‐Hua Xia, Jiao-Yang Li, Dongqin Chen, Hailin Tang, Zhengyuan Yu, Liyan Shi, Yufeng Xie, Kexin Chen and Chunhua Ling and has published in prestigious journals such as Cancer Letters, Biomedicine & Pharmacotherapy and Drug Resistance Updates.

In The Last Decade

Shaomu Chen

10 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaomu Chen China	8	293	227	30	26	24	10	330
Marlies Eilers Germany	6	281 1.0×	212 0.9×	41 1.4×	18 0.7×	27 1.1×	8	336
Vera Schäffer Germany	6	281 1.0×	212 0.9×	41 1.4×	18 0.7×	27 1.1×	8	336
Shuang Chen China	11	326 1.1×	215 0.9×	49 1.6×	23 0.9×	29 1.2×	16	377
Zheng Zhi China	6	283 1.0×	245 1.1×	25 0.8×	22 0.8×	18 0.8×	8	330
Fangyong Lei China	9	285 1.0×	238 1.0×	49 1.6×	35 1.3×	20 0.8×	10	354
Yao‐Jie Pan China	10	255 0.9×	190 0.8×	36 1.2×	22 0.8×	16 0.7×	17	319
Jinze Shen China	10	220 0.8×	179 0.8×	35 1.2×	34 1.3×	12 0.5×	26	274
Jin-Liang Wan China	8	294 1.0×	267 1.2×	56 1.9×	24 0.9×	14 0.6×	11	373
Dapeng Lei China	13	266 0.9×	199 0.9×	50 1.7×	30 1.2×	10 0.4×	33	309
Jingyao Gu China	9	275 0.9×	215 0.9×	30 1.0×	48 1.8×	14 0.6×	11	321

Countries citing papers authored by Shaomu Chen

Since Specialization

Citations

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

Fields of papers citing papers by Shaomu Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaomu Chen

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

All Works

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10 of 10 papers shown

Sun, Yu, Jie Zhang, Zhiming Zhao, et al.. (2024). The deubiquitinase USP2a promotes tumor immunosuppression by stabilizing immune checkpoint B7–H4 in lung adenocarcinoma harboring EGFR-activating mutants. Cancer Letters. 596. 217020–217020. 3 indexed citations

Zhang, Shufan, et al.. (2023). Circlehunter: a tool to identify extrachromosomal circular DNA from ATAC-Seq data. Oncogenesis. 12(1). 28–28. 12 indexed citations

Zhang, Weili, et al.. (2022). MiR-504-3p Has Tumor-Suppressing Activity and Decreases IFITM1 Expression in Non-Small Cell Lung Cancer Cells. Genetic Testing and Molecular Biomarkers. 26(7-8). 351–359. 2 indexed citations

Yu, Zhengyuan, Hailin Tang, Shaomu Chen, et al.. (2022). Exosomal LOC85009 inhibits docetaxel resistance in lung adenocarcinoma through regulating ATG5-induced autophagy. Drug Resistance Updates. 67. 100915–100915. 106 indexed citations

Xiong, Feng, Hong Yin, Hui Zhang, et al.. (2019). Clinicopathologic Features and the Prognostic Implications of Long Noncoding RNA HOTAIRM1 in Non-Small Cell Lung Cancer. Genetic Testing and Molecular Biomarkers. 24(1). 47–53. 7 indexed citations

Xu, Ning, Shaomu Chen, Yufeng Liu, et al.. (2018). Profiles and Bioinformatics Analysis of Differentially Expressed Circrnas in Taxol-Resistant Non-Small Cell Lung Cancer Cells. Cellular Physiology and Biochemistry. 48(5). 2046–2060. 62 indexed citations

Chen, Shaomu, et al.. (2014). MiR-96 promotes proliferation and chemo- or radioresistance by down-regulating RECK in esophageal cancer. Biomedicine & Pharmacotherapy. 68(8). 951–958. 53 indexed citations

Huang, Haitao, Shaomu Chen, Liangbin Pan, Jie Yao, & Haitao Ma. (2014). Loss of function of SWI/SNF chromatin remodeling genes leads to genome instability of human lung cancer. Oncology Reports. 33(1). 283–291. 37 indexed citations

Chen, Xiaochun, et al.. (2014). MiR-95 induces proliferation and chemo- or radioresistance through directly targeting sorting nexin1 (SNX1) in non-small cell lung cancer. Biomedicine & Pharmacotherapy. 68(5). 589–595. 37 indexed citations

10.

Yang, Sijun, Hongmin Wang, Shaomu Chen, et al.. (2013). RMP Plays Distinct Roles in the Proliferation of Hepatocellular Carcinoma Cells and Normal Hepatic Cells. International Journal of Biological Sciences. 9(6). 637–648. 11 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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