Y-Y Mo
Impact in
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 2%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
Papers in
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- RNA modifications and cancer 4
- Circular RNAs in diseases 4
- RNA Research and Splicing 3
- Ion Transport and Channel Regulation 2
- ATP Synthase and ATPases Research 2
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- Cancer-related molecular mechanisms research 6
- Cancer, Hypoxia, and Metabolism 2
- MicroRNA in disease regulation 2
- Co-authors
- Pratistha Koirala (1 shared paper)Feng Wu (3 shared papers)Zhongxin Lu (1 shared paper)Shengtao Zhu (1 shared paper)Hui Wu (1 shared paper)Kounosuke Watabe (7 shared papers)Meng Xu (2 shared papers)Nanjiang Zhou (2 shared papers)
- Journals
- Oncogene (6 papers)Cell Death and Disease (2 papers)Cell Death and Differentiation (1 paper)Oncogenesis (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Y-Y Mo
10 papers receiving 3.9k citations
Y-Y Mo's Hit Papers
Peers
Comparison fields: 5 of 104
- Cancer Research 3.0k
- Molecular Biology 2.8k
- Oncology 306
- Immunology 123
- Pulmonary and Respiratory Medicine 178
Countries citing papers authored by Y-Y Mo
This map shows the geographic impact of Y-Y 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 Y-Y Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y-Y Mo more than expected).
Fields of papers citing papers by Y-Y Mo
This network shows the impact of papers produced by Y-Y 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 Y-Y Mo. The network helps show where Y-Y Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Y-Y 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 | miR-21-mediated tumor growth Hit paper breakdown → | 2006 | 1400 |
| 2 | LncRNA-mediated regulation of cell signaling in cancer Hit paper breakdown → | 2017 | 1282 |
| 3 | 2013 | 364 | |
| 4 | 2014 | 322 | |
| 5 | 2011 | 194 | |
| 6 | 2016 | 129 | |
| 7 | 2012 | 83 | |
| 8 | 2016 | 77 | |
| 9 | 2015 | 75 | |
| 10 | 2015 | 72 |
About Y-Y Mo
Y-Y Mo is a scholar working on Molecular Biology, Cancer Research, Oncology, Physiology and Infectious Diseases, having authored 10 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers), Circular RNAs in diseases (4 papers), RNA Research and Splicing (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Ion Transport and Channel Regulation (2 papers), MicroRNA in disease regulation (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Cancer Research (3.0k citations), Molecular Biology (2.8k citations), Oncology (306 citations), Immunology (123 citations) and Pulmonary and Respiratory Medicine (178 citations). Y-Y Mo has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Pratistha Koirala, Feng Wu, Zhongxin Lu, Shengtao Zhu, Hui Wu, Kounosuke Watabe, Meng Xu, Nanjiang Zhou, Xiang Zhang and Lu Zhao. Their work appears in journals such as Oncogene, Cell Death and Disease, Cell Death and Differentiation and Oncogenesis.
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.