Shaomu Chen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Circular RNAs in diseases
- RNA modifications and cancer
- Extracellular vesicles in disease
- RNA Research and Splicing
- Chromatin Remodeling and Cancer
Papers in
-
- RNA modifications and cancer 3
- Circular RNAs in diseases 3
- RNA Research and Splicing 2
- Ubiquitin and proteasome pathways 2
- Chromatin Remodeling and Cancer 1
-
- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 3
- Cancer Genomics and Diagnostics 1
- Co-authors
- Haitao Huang (3 shared papers)Jiao-Yang Li (1 shared paper)Dongqin Chen (1 shared paper)Shu‐Hua Xia (1 shared paper)Zhengyuan Yu (1 shared paper)Yufeng Xie (1 shared paper)Liyan Shi (1 shared paper)Hailin Tang (1 shared paper)
- Journals
- Biomedicine & Pharmacotherapy (2 papers)Oncology Reports (1 paper)Cancer Letters (1 paper)Oncogenesis (1 paper)International Journal of Biological Sciences (1 paper)
- Partner nations
- China
In The Last Decade
Shaomu Chen
10 papers receiving 329 citations
Peers
Comparison fields: 5 of 43
- Cancer Research 227
- Molecular Biology 293
- Pathology and Forensic Medicine 24
- Oncology 30
- Immunology 19
Countries citing papers authored by Shaomu Chen
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
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-authors
The 25 scholars most cited alongside Shaomu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 106 | |
| 2 | 2018 | 62 | |
| 3 | 2014 | 53 | |
| 4 | 2014 | 37 | |
| 5 | 2014 | 37 | |
| 6 | 2023 | 12 | |
| 7 | 2013 | 11 | |
| 8 | 2019 | 7 | |
| 9 | 2024 | 3 | |
| 10 | 2022 | 2 |
About Shaomu Chen
Shaomu Chen is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Epidemiology, having authored 10 papers that have together received 330 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), RNA Research and Splicing (2 papers), Ubiquitin and proteasome pathways (2 papers), Cancer Genomics and Diagnostics (1 paper) and Chromatin Remodeling and Cancer (1 paper). The work is most often cited by research in Cancer Research (227 citations), Molecular Biology (293 citations), Pathology and Forensic Medicine (24 citations), Oncology (30 citations) and Immunology (19 citations). Shaomu Chen has collaborated with scholars based in China. Frequent co-authors include Haitao Huang, Jiao-Yang Li, Dongqin Chen, Shu‐Hua Xia, Zhengyuan Yu, Yufeng Xie, Liyan Shi, Hailin Tang, Kexin Chen and Chunhua Ling. Their work appears in journals such as Biomedicine & Pharmacotherapy, Oncology Reports, Cancer Letters, Oncogenesis and International Journal of Biological Sciences.
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.