Mei Ye
Impact in
- Immunology top 10%
-
- Cancer-related molecular mechanisms research
Papers in
-
- Epigenetics and DNA Methylation 6
- Cancer-related gene regulation 6
- Circular RNAs in diseases 3
- RNA modifications and cancer 3
- Genetics 9
- Inflammatory Bowel Disease 4
- Co-authors
- Min Wu (14 shared papers)Lianyun Li (10 shared papers)Xuhang Li (4 shared papers)Wei Zhang (1 shared paper)Dingjun Zhu (1 shared paper)Yifan Yuan (4 shared papers)Bing Xia (4 shared papers)Mingyue Fu (3 shared papers)
- Journals
- Journal of Inflammation Research (3 papers)Clinical Epigenetics (3 papers)eLife (2 papers)Journal of Crohn s and Colitis (2 papers)Cell Death and Differentiation (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Mei Ye
50 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Immunology 202
- Cancer Research 136
- Molecular Biology 578
- Genetics 150
- Pharmacology 43
Countries citing papers authored by Mei Ye
This map shows the geographic impact of Mei Ye'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 Mei Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Ye more than expected).
Fields of papers citing papers by Mei Ye
This network shows the impact of papers produced by Mei Ye. 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 Mei Ye. The network helps show where Mei Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei Ye, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 162 | |
| 2 | 2021 | 68 | |
| 3 | 2016 | 68 | |
| 4 | 2005 | 65 | |
| 5 | E6/E7 oncoproteins of high risk HPV-16 upregulate MT1-MMP, MMP-2 and MMP-9 and promote the migration of cervical cancer cells. | 2015 | 57 |
| 6 | 2022 | 49 | |
| 7 | 2019 | 49 | |
| 8 | 2007 | 43 | |
| 9 | 2021 | 42 | |
| 10 | 2019 | 42 | |
| 11 | 2020 | 42 | |
| 12 | 2014 | 36 | |
| 13 | 2021 | 31 | |
| 14 | An old herbal medicine with a potentially new therapeutic application in inflammatory bowel disease. | 2011 | 31 |
| 15 | 2019 | 30 | |
| 16 | 2017 | 27 | |
| 17 | 2007 | 27 | |
| 18 | 2005 | 23 | |
| 19 | 2022 | 23 | |
| 20 | 2024 | 22 |
About Mei Ye
Mei Ye is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Epidemiology, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Cancer-related gene regulation (6 papers), Inflammatory Bowel Disease (4 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Immune Cell Function and Interaction (3 papers), RNA modifications and cancer (3 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Immunology (202 citations), Cancer Research (136 citations), Molecular Biology (578 citations), Genetics (150 citations) and Pharmacology (43 citations). Mei Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Min Wu, Lianyun Li, Xuhang Li, Wei Zhang, Dingjun Zhu, Yifan Yuan, Bing Xia, Mingyue Fu, Ying Dong and Ling Liu. Their work appears in journals such as Journal of Inflammation Research, Clinical Epigenetics, eLife, Journal of Crohn s and Colitis and Cell Death and Differentiation.
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.