Y-Y Mo
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- 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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- Cancer-related molecular mechanisms research 6
- Cancer, Hypoxia, and Metabolism 2
- MicroRNA in disease regulation 2
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- RNA modifications and cancer 4
- Circular RNAs in diseases 4
- RNA Research and Splicing 3
- ATP Synthase and ATPases Research 2
- Ion Transport and Channel Regulation 2
- Co-authors
- Pratistha Koirala (1 shared paper)Feng Wu (3 shared papers)Shengtao Zhu (1 shared paper)Hui Chen Wu (1 shared paper)Zhongxin Lu (1 shared paper)Kounosuke Watabe (7 shared papers)Meng Kai 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 107
- Cancer Research 3.0k
- Molecular Biology 2.8k
- Oncology 307
- Pulmonary and Respiratory Medicine 179
- Immunology 122
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 | 1405 |
| 2 | LncRNA-mediated regulation of cell signaling in cancer Hit paper breakdown → | 2017 | 1292 |
| 3 | 2013 | 362 | |
| 4 | 2014 | 324 | |
| 5 | 2011 | 193 | |
| 6 | 2016 | 130 | |
| 7 | 2012 | 82 | |
| 8 | 2016 | 79 | |
| 9 | 2015 | 77 | |
| 10 | 2015 | 73 |
About Y-Y Mo
Y-Y Mo is a scholar working on Cancer Research, Molecular Biology, Physiology, Oncology and Insect Science, 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), ATP Synthase and ATPases Research (2 papers), Ion Transport and Channel Regulation (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (3.0k citations), Molecular Biology (2.8k citations), Oncology (307 citations), Pulmonary and Respiratory Medicine (179 citations) and Immunology (122 citations). Y-Y Mo has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Pratistha Koirala, Feng Wu, Shengtao Zhu, Hui Chen Wu, Zhongxin Lu, Kounosuke Watabe, Meng Kai 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.