Fan Yao
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
Papers in
-
- Epigenetics and DNA Methylation 10
- Ubiquitin and proteasome pathways 9
- RNA modifications and cancer 8
- RNA Research and Splicing 5
- Oncology 19
- Pancreatic and Hepatic Oncology Research 6
- Co-authors
- Li Ma (15 shared papers)Yutong Sun (14 shared papers)Zhenna Xiao (4 shared papers)Jongchan Kim (4 shared papers)Yumeng Wang (2 shared papers)Han Liang (2 shared papers)Xiaoyun Mao (8 shared papers)Mien‐Chie Hung (2 shared papers)
- Journals
- Nature Communications (7 papers)Tumor Biology (7 papers)Clinical Epigenetics (3 papers)Cancers (3 papers)Surgical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fan Yao
96 papers receiving 2.9k citations
Fan Yao's Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 922
- Molecular Biology 1.5k
- Oncology 471
- Immunology 234
- Cell Biology 172
Countries citing papers authored by Fan Yao
This map shows the geographic impact of Fan 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 Fan Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Yao more than expected).
Fields of papers citing papers by Fan Yao
This network shows the impact of papers produced by Fan 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 Fan Yao. The network helps show where Fan Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Long noncoding RNA MALAT1 suppresses breast cancer metastasis Hit paper breakdown → | 2018 | 557 |
| 2 | 2017 | 188 | |
| 3 | 2018 | 139 | |
| 4 | 2017 | 104 | |
| 5 | 2014 | 98 | |
| 6 | 2010 | 93 | |
| 7 | 2021 | 93 | |
| 8 | 2015 | 82 | |
| 9 | USP51 promotes deubiquitination and stabilization of ZEB1. | 2017 | 66 |
| 10 | 2024 | 65 | |
| 11 | 2014 | 63 | |
| 12 | 2008 | 59 | |
| 13 | 2021 | 48 | |
| 14 | 2014 | 44 | |
| 15 | 2020 | 43 | |
| 16 | 2019 | 43 | |
| 17 | 2017 | 40 | |
| 18 | 2019 | 38 | |
| 19 | 2008 | 37 | |
| 20 | 2019 | 36 |
About Fan Yao
Fan Yao is a scholar working on Molecular Biology, Oncology, Cancer Research, Health, Toxicology and Mutagenesis and Immunology, having authored 103 papers that have together received 2.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), Ubiquitin and proteasome pathways (9 papers), RNA modifications and cancer (8 papers), Environmental Toxicology and Ecotoxicology (7 papers), Cancer-related molecular mechanisms research (6 papers), Pancreatic and Hepatic Oncology Research (6 papers), Breast Cancer Treatment Studies (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Cancer Research (922 citations), Molecular Biology (1.5k citations), Oncology (471 citations), Immunology (234 citations) and Cell Biology (172 citations). Fan Yao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Li Ma, Yutong Sun, Zhenna Xiao, Jongchan Kim, Yumeng Wang, Han Liang, Xiaoyun Mao, Mien‐Chie Hung, Shinichi Nakagawa and Hyemin Lee. Their work appears in journals such as Nature Communications, Tumor Biology, Clinical Epigenetics, Cancers and Surgical Oncology.
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.