Xiaoyan Mo
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- Circular RNAs in diseases 4
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- Ubiquitin and proteasome pathways 1
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- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 2
- Co-authors
- Junming Guo (7 shared papers)Tianwen Li (5 shared papers)Bingxiu Xiao (3 shared papers)Peifei Li (1 shared paper)Huilin Chen (1 shared paper)Yongfu Shao (1 shared paper)Shengcan Chen (1 shared paper)Liyun Fu (2 shared papers)
- Journals
- Oncotarget (2 papers)Molecular Biology Reports (1 paper)BMB Reports (1 paper)Hepatology International (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- China
In The Last Decade
Xiaoyan Mo
14 papers receiving 1.1k citations
Xiaoyan Mo's Hit Papers
Peers
Comparison fields: 5 of 65
- Cancer Research 1.0k
- Molecular Biology 1.1k
- Immunology 31
- Pathology and Forensic Medicine 26
- Hepatology 9
Countries citing papers authored by Xiaoyan Mo
This map shows the geographic impact of Xiaoyan 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 Xiaoyan Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyan Mo more than expected).
Fields of papers citing papers by Xiaoyan Mo
This network shows the impact of papers produced by Xiaoyan 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 Xiaoyan Mo. The network helps show where Xiaoyan Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyan Mo, 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 | Using circular RNA as a novel type of biomarker in the screening of gastric cancer Hit paper breakdown → | 2015 | 652 |
| 2 | 2016 | 235 | |
| 3 | 2017 | 154 | |
| 4 | 2018 | 31 | |
| 5 | 2018 | 15 | |
| 6 | 2010 | 11 | |
| 7 | 2017 | 10 | |
| 8 | 2010 | 6 | |
| 9 | 2016 | 4 | |
| 10 | 2024 | 3 | |
| 11 | [Synthesis of copolyesters consisting of 3-hydroxybutyrate and 3-hydroxyhexanoate by Aeromonas hydrophila WQ and its molecular basis]. | 2003 | 3 |
| 12 | 2024 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 0 |
About Xiaoyan Mo
Xiaoyan Mo is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Otorhinolaryngology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (4 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), MicroRNA in disease regulation (2 papers), Wheat and Barley Genetics and Pathology (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (1.0k citations), Molecular Biology (1.1k citations), Immunology (31 citations), Pathology and Forensic Medicine (26 citations) and Hepatology (9 citations). Xiaoyan Mo has collaborated with scholars based in China. Frequent co-authors include Junming Guo, Tianwen Li, Bingxiu Xiao, Peifei Li, Huilin Chen, Yongfu Shao, Shengcan Chen, Liyun Fu, Ting Yao and Yaoren Hu. Their work appears in journals such as Oncotarget, Molecular Biology Reports, BMB Reports, Hepatology International and Frontiers in Immunology.
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.