Yingxi Mo
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
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- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Cancer-related gene regulation
Papers in
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- Cancer, Hypoxia, and Metabolism 7
- Cancer-related molecular mechanisms research 4
- Cancer, Lipids, and Metabolism 4
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- Epigenetics and DNA Methylation 6
- Peroxisome Proliferator-Activated Receptors 3
- Cancer-related gene regulation 3
- Ubiquitin and proteasome pathways 3
- Co-authors
- Xiaoying Zhou (18 shared papers)Guangwu Huang (10 shared papers)Mariko Murata (8 shared papers)Zhe Zhang (14 shared papers)Ning Ma (8 shared papers)Shumin Wang (7 shared papers)Shinji Oikawa (6 shared papers)Kaoru Midorikawa (6 shared papers)
In The Last Decade
Yingxi Mo
34 papers receiving 628 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 236
- Molecular Biology 346
- Oncology 106
- Otorhinolaryngology 16
- Immunology 50
Countries citing papers authored by Yingxi Mo
This map shows the geographic impact of Yingxi 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 Yingxi Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingxi Mo more than expected).
Fields of papers citing papers by Yingxi Mo
This network shows the impact of papers produced by Yingxi 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 Yingxi Mo. The network helps show where Yingxi Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingxi 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
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 51 | |
| 2 | 2015 | 50 | |
| 3 | 2012 | 45 | |
| 4 | 2011 | 45 | |
| 5 | 2017 | 41 | |
| 6 | 2015 | 36 | |
| 7 | 2017 | 35 | |
| 8 | 2014 | 33 | |
| 9 | 2013 | 32 | |
| 10 | 2019 | 28 | |
| 11 | 2017 | 27 | |
| 12 | 2016 | 25 | |
| 13 | 2022 | 22 | |
| 14 | 2020 | 19 | |
| 15 | 2019 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2019 | 16 | |
| 18 | 2017 | 12 | |
| 19 | 2022 | 10 | |
| 20 | EBV-LMP1 regulating AKT/mTOR signaling pathway and WWOX in nasopharyngeal carcinoma. | 2017 | 9 |
About Yingxi Mo
Yingxi Mo is a scholar working on Cancer Research, Molecular Biology, Oncology, Immunology and Cell Biology, having authored 37 papers that have together received 633 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), Epigenetics and DNA Methylation (6 papers), Cancer-related molecular mechanisms research (4 papers), Viral-associated cancers and disorders (4 papers), Cancer, Lipids, and Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Cancer-related gene regulation (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cancer Research (236 citations), Molecular Biology (346 citations), Oncology (106 citations), Otorhinolaryngology (16 citations) and Immunology (50 citations). Yingxi Mo has collaborated with scholars based in China, Japan and Sweden. Frequent co-authors include Xiaoying Zhou, Guangwu Huang, Mariko Murata, Zhe Zhang, Ning Ma, Shumin Wang, Shinji Oikawa, Kaoru Midorikawa, Yusuke Hiraku and Weilin Zhao. Their work appears in journals such as Frontiers in Oncology, Oncotarget, Cancer Letters, BMC Cancer and Scientific Reports.
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.