Ming Yao
Impact in
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 1%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
-
- RNA modifications and cancer 29
- RNA Research and Splicing 14
- Ubiquitin and proteasome pathways 13
- Circular RNAs in diseases 8
-
- Cancer-related molecular mechanisms research 20
- MicroRNA in disease regulation 20
- Cancer, Hypoxia, and Metabolism 15
- Co-authors
- Jinjun Li (60 shared papers)Jianren Gu (36 shared papers)Chao Ge (44 shared papers)Fangyu Zhao (56 shared papers)Mingxia Yan (25 shared papers)Xianghuo He (31 shared papers)Taoyang Chen (36 shared papers)Shenglin Huang (12 shared papers)
- Journals
- Oncotarget (11 papers)Hepatology (11 papers)Cancer Letters (10 papers)Cancer Research (7 papers)Oncogene (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming Yao
138 papers receiving 8.8k citations
Ming Yao's Hit Papers
Peers
Comparison fields: 5 of 137
- Cancer Research 3.7k
- Molecular Biology 5.5k
- Oncology 1.7k
- Hepatology 446
- Immunology 560
Countries citing papers authored by Ming Yao
This map shows the geographic impact of Ming Yao'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 Ming Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yao more than expected).
Fields of papers citing papers by Ming Yao
This network shows the impact of papers produced by Ming Yao. 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 Ming Yao. The network helps show where Ming Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 467 | |
| 2 | STAT3-mediated upregulation of lncRNA HOXD-AS1 as a ceRNA facilitates liver cancer metastasis by regulating SOX4 Hit paper breakdown → | 2017 | 437 |
| 3 | 2009 | 366 | |
| 4 | 2005 | 357 | |
| 5 | 2019 | 285 | |
| 6 | 2010 | 261 | |
| 7 | 2010 | 219 | |
| 8 | 2015 | 195 | |
| 9 | 2009 | 186 | |
| 10 | 2014 | 186 | |
| 11 | 2017 | 178 | |
| 12 | 2018 | 172 | |
| 13 | 2018 | 152 | |
| 14 | 2011 | 151 | |
| 15 | 2010 | 150 | |
| 16 | 2017 | 145 | |
| 17 | 2005 | 139 | |
| 18 | 2020 | 118 | |
| 19 | 2015 | 114 | |
| 20 | 2018 | 112 |
About Ming Yao
Ming Yao is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Cell Biology, having authored 139 papers that have together received 8.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (29 papers), Cancer-related molecular mechanisms research (20 papers), MicroRNA in disease regulation (20 papers), Cancer, Hypoxia, and Metabolism (15 papers), RNA Research and Splicing (14 papers), Ubiquitin and proteasome pathways (13 papers), Cancer Cells and Metastasis (12 papers) and Circular RNAs in diseases (8 papers). The work is most often cited by research in Cancer Research (3.7k citations), Molecular Biology (5.5k citations), Oncology (1.7k citations), Hepatology (446 citations) and Immunology (560 citations). Ming Yao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jinjun Li, Jianren Gu, Chao Ge, Fangyu Zhao, Mingxia Yan, Xianghuo He, Taoyang Chen, Shenglin Huang, Wenxin Qin and Yingjun Zhao. Their work appears in journals such as Oncotarget, Hepatology, Cancer Letters, Cancer Research and Oncogene.
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.