Shaowei Mo

1.2k total citations · 1 hit paper
15 papers, 575 citations indexed

About

Shaowei Mo is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Shaowei Mo has authored 15 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Shaowei Mo's work include Cancer-related molecular mechanisms research (4 papers), Cancer Mechanisms and Therapy (2 papers) and Molecular Biology Techniques and Applications (2 papers). Shaowei Mo is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Cancer Mechanisms and Therapy (2 papers) and Molecular Biology Techniques and Applications (2 papers). Shaowei Mo collaborates with scholars based in China, Australia and United States. Shaowei Mo's co-authors include Jiang‐Jiang Qin, Yuan Li, Xiangdong Cheng, Zhiyuan Xu, Shanming Ruan, Fan Zhang, Xiangdong Cheng, Xionghui He, Mulin Ye and Yu Zhang and has published in prestigious journals such as Molecular Cancer, Frontiers in Pharmacology and Pharmacological Research.

In The Last Decade

Shaowei Mo

14 papers receiving 571 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Long non-coding RNAs towards precision medicine in gastric cancer: early diagnosis, treatment, and drug resistance

2020 237 citations Yuan Li, Zhiyuan Xu et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaowei Mo China	12	412	318	109	90	47	15	575
Yuchao He China	12	393 1.0×	303 1.0×	112 1.0×	121 1.3×	42 0.9×	25	593
Xuening Ji China	9	347 0.8×	209 0.7×	199 1.8×	59 0.7×	51 1.1×	16	618
Senjun Zhou China	9	432 1.0×	298 0.9×	107 1.0×	95 1.1×	74 1.6×	12	605
Petra Koudelková Austria	5	368 0.9×	225 0.7×	191 1.8×	77 0.9×	51 1.1×	6	593
Jiang Shi China	14	619 1.5×	446 1.4×	75 0.7×	69 0.8×	46 1.0×	25	753
Xiaoqian Jing China	19	442 1.1×	221 0.7×	185 1.7×	94 1.0×	54 1.1×	32	680
Juanni Li China	16	605 1.5×	405 1.3×	112 1.0×	141 1.6×	42 0.9×	39	814
Tao Qin China	12	502 1.2×	298 0.9×	135 1.2×	55 0.6×	23 0.5×	26	642
Allen Zhang United States	10	397 1.0×	141 0.4×	133 1.2×	76 0.8×	40 0.9×	16	565
Xueqing Yao China	13	360 0.9×	230 0.7×	210 1.9×	103 1.1×	38 0.8×	51	635

Countries citing papers authored by Shaowei Mo

Since Specialization

Citations

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

Fields of papers citing papers by Shaowei Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaowei Mo

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

All Works

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15 of 15 papers shown

Wang, Wei, et al.. (2023). YAP/TAZ Pathway Promoted the Trastuzumab Resistance in HER2-Positive Breast Cancer. Pakistan Journal of Zoology. 55(5).

He, Xionghui, Yiqing Wang, Haiying Liu, et al.. (2022). LINC01605 promotes aerobic glycolysis through lactate dehydrogenase A in triple‐negative breast cancer. Cancer Science. 113(8). 2484–2495. 13 indexed citations

Wang, Xiaofeng, Can Hu, Shaowei Mo, et al.. (2022). GPR30 Activation Promotes the Progression of Gastric Cancer and Plays a Significant Role in the Anti-GC Effect of Huaier. Journal of Oncology. 2022. 1–14. 6 indexed citations

Li, Yuan, Shaowei Mo, Zhiyuan Xu, et al.. (2021). p-MEK expression predicts prognosis of patients with adenocarcinoma of esophagogastric junction (AEG) and plays a role in anti-AEG efficacy of Huaier. Pharmacological Research. 165. 105411–105411. 16 indexed citations

Li, Yuan, Zhiyuan Xu, Shanming Ruan, et al.. (2020). Long non-coding RNAs towards precision medicine in gastric cancer: early diagnosis, treatment, and drug resistance. Molecular Cancer. 19(1). 96–96. 237 indexed citations breakdown →

Yu, Dehua, Zhiyuan Xu, Shaowei Mo, et al.. (2020). Targeting MDMX for Cancer Therapy: Rationale, Strategies, and Challenges. Frontiers in Oncology. 10. 1389–1389. 34 indexed citations

Li, Yubin, Runzhe Chen, Jian Yang, et al.. (2020). Integrated Bioinformatics Analysis Reveals Key Candidate Genes and Pathways Associated With Clinical Outcome in Hepatocellular Carcinoma. Frontiers in Genetics. 11. 814–814. 16 indexed citations

Lu, Jiahua, Jianying Lou, Shaowei Mo, et al.. (2020). Gastric Cancer Tumor Microenvironment Characterization Reveals Stromal-Related Gene Signatures Associated With Macrophage Infiltration. Frontiers in Genetics. 11. 663–663. 35 indexed citations

Yu, Wen-Kai, Zhiyuan Xu, Yuan Li, et al.. (2020). Targeting β-Catenin Signaling by Natural Products for Cancer Prevention and Therapy. Frontiers in Pharmacology. 11. 984–984. 37 indexed citations

10.

Wang, Weiyi, Jing Yang, Yanyan Liao, et al.. (2020). Aspeterreurone A, a Cytotoxic Dihydrobenzofuran–Phenyl Acrylate Hybrid from the Deep-Sea-Derived Fungus Aspergillus terreus CC-S06-18. Journal of Natural Products. 83(6). 1998–2003. 32 indexed citations

11.

Wang, Lijing, Zhiyuan Xu, Can Hu, et al.. (2020). Peritoneal metastatic gastric carcinoma cells exhibit more malignant behavior when co-cultured with HMrSV5 cells. Aging. 12(4). 3238–3248. 3 indexed citations

12.

Hu, Can, Zhiyuan Xu, Hang Lv, et al.. (2019). Overexpression of B7H5/CD28H is associated with worse survival in human gastric cancer. Journal of Cellular and Molecular Medicine. 24(2). 1360–1369. 14 indexed citations

13.

Dong, Huaying, Wei Wang, Shaowei Mo, et al.. (2018). Long non‐coding RNA SNHG14 induces trastuzumab resistance of breast cancer via regulating PABPC1 expression through H3K27 acetylation. Journal of Cellular and Molecular Medicine. 22(10). 4935–4947. 93 indexed citations

14.

Mo, Shaowei, et al.. (2018). Ultrasound-guided radiofrequency ablation enhances natural killer-mediated antitumor immunity against liver cancer. Oncology Letters. 15(5). 7014–7020. 14 indexed citations

15.

Xu, Xiaoyun, et al.. (2016). Involvement of microRNA-1297, a new regulator of HMGA1, in the regulation of glioma cell growth in vivo and in vitro.. PubMed. 8(5). 2149–58. 25 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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