Shaowei Mo

1.3k citations
21 papers · 783 · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation

Papers in

Shaowei Mo

21 papers receiving 778 citations

Peers

Shaowei Mo
Comparison fields: 5 of 69
  • Cancer Research 305
  • Molecular Biology 407
  • Oncology 137
  • Pulmonary and Respiratory Medicine 109
  • Immunology 69
Replace Go Masuda with:
Go Masuda Japan
Xueqing Yao China
Yan Qiu China
Meng‐Ju Wu United States
Hideaki Karasawa Japan
Zhouyu Ning China
Un-Jung Yun South Korea
Xuelian Chen China
Xiaoqian Jing China
Zhenjia Yu China
Shaowei Mo relative to Go Masuda Japan Go Masuda's profile →
Citations per field
00.5×2×2.7×
Go Masuda · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Shaowei Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaowei Mo Line = papers co-authored together Shaowei Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020245
2 2023129
3 201894
4 202042
5 202038
6 202038
7 202438
8 202033
9
Involvement of microRNA-1297, a new regulator of HMGA1, in the regulation of glioma cell growth in vivo and in vitro.
201625
10 202118
11 202018
12 201815
13 201915
14 202215
15 20226
16 20225
17 20204
18 20232
19 20221
20 20231

About Shaowei Mo

Shaowei Mo is a scholar working on Cancer Research, Psychiatry and Mental health, Molecular Biology, Oncology and Cell Biology, having authored 21 papers that have together received 783 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Sexual function and dysfunction studies (4 papers), Ferroptosis and cancer prognosis (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Molecular Biology Techniques and Applications (2 papers), Cancer Mechanisms and Therapy (2 papers), RNA modifications and cancer (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (305 citations), Molecular Biology (407 citations), Oncology (137 citations), Pulmonary and Respiratory Medicine (109 citations) and Immunology (69 citations). Shaowei Mo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiang‐Jiang Qin, Yuan Li, Xiangdong Cheng, Zhiyuan Xu, Shanming Ruan, Xiangdong Cheng, Xionghui He, Fan Zhang, Kejian Zou and Huaying Dong. Their work appears in journals such as Frontiers in Genetics, Journal of Cellular and Molecular Medicine, Aging, Cancer Science and Pharmacological Research.

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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