Hai‐Yu Mo
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 4
- RNA Research and Splicing 3
- Circular RNAs in diseases 3
- Epigenetics and DNA Methylation 2
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- NF-κB Signaling Pathways 2
- Co-authors
- Rui‐Hua Xu (10 shared papers)Huai‐Qiang Ju (10 shared papers)Kun Liao (5 shared papers)Ting Li (3 shared papers)Qi‐Nian Wu (5 shared papers)Xiaojun Zheng (2 shared papers)Hui Sheng (5 shared papers)Yan‐Xing Chen (2 shared papers)
- Journals
- Nature Communications (2 papers)EMBO Molecular Medicine (2 papers)Journal of Pineal Research (1 paper)Redox Report (1 paper)Cell Research (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Hai‐Yu Mo
12 papers receiving 511 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 239
- Molecular Biology 350
- Endocrine and Autonomic Systems 28
- Immunology 74
- Oncology 95
Countries citing papers authored by Hai‐Yu Mo
This map shows the geographic impact of Hai‐Yu 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 Hai‐Yu Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai‐Yu Mo more than expected).
Fields of papers citing papers by Hai‐Yu Mo
This network shows the impact of papers produced by Hai‐Yu 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 Hai‐Yu Mo. The network helps show where Hai‐Yu Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai‐Yu 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 | 2022 | 135 | |
| 2 | 2019 | 101 | |
| 3 | 2023 | 73 | |
| 4 | 2015 | 59 | |
| 5 | 2023 | 44 | |
| 6 | 2022 | 37 | |
| 7 | 2021 | 30 | |
| 8 | 2024 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 4 | |
| 13 | 2026 | 0 |
About Hai‐Yu Mo
Hai‐Yu Mo is a scholar working on Molecular Biology, Cancer Research, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 13 papers that have together received 513 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (3 papers), RNA Research and Splicing (3 papers), Circular RNAs in diseases (3 papers), Immune cells in cancer (3 papers), Epigenetics and DNA Methylation (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Cancer Research (239 citations), Molecular Biology (350 citations), Endocrine and Autonomic Systems (28 citations), Immunology (74 citations) and Oncology (95 citations). Hai‐Yu Mo has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Rui‐Hua Xu, Huai‐Qiang Ju, Kun Liao, Ting Li, Qi‐Nian Wu, Xiaojun Zheng, Hui Sheng, Yan‐Xing Chen, Hai‐long Piao and Zexian Liu. Their work appears in journals such as Nature Communications, EMBO Molecular Medicine, Journal of Pineal Research, Redox Report and Cell 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.