Yide Mei
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA modifications and cancer
- Cell death mechanisms and regulation
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- Circular RNAs in diseases
Papers in
-
- RNA modifications and cancer 16
- RNA Research and Splicing 14
- Ubiquitin and proteasome pathways 13
- Cell death mechanisms and regulation 8
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- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 8
- Co-authors
- Mian Wu (26 shared papers)Fan Yang (3 shared papers)Huafeng Zhang (1 shared paper)Yonghui Yang (2 shared papers)Xiaolu Yang (4 shared papers)Naseruddin Höti (1 shared paper)Mark Castanares (1 shared paper)Lin Miao (4 shared papers)
- Journals
- Oncogene (6 papers)Cell Death and Disease (5 papers)Journal of Biological Chemistry (3 papers)Cellular Signalling (3 papers)EMBO Reports (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yide Mei
55 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 1.1k
- Molecular Biology 2.2k
- Immunology 386
- Oncology 423
- Cell Biology 168
Countries citing papers authored by Yide Mei
This map shows the geographic impact of Yide Mei'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 Yide Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yide Mei more than expected).
Fields of papers citing papers by Yide Mei
This network shows the impact of papers produced by Yide Mei. 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 Yide Mei. The network helps show where Yide Mei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yide Mei, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 439 | |
| 2 | 2007 | 363 | |
| 3 | 2010 | 155 | |
| 4 | 2013 | 115 | |
| 5 | 2013 | 113 | |
| 6 | 2016 | 97 | |
| 7 | 2012 | 95 | |
| 8 | 2014 | 84 | |
| 9 | 2011 | 73 | |
| 10 | 2013 | 70 | |
| 11 | 2019 | 64 | |
| 12 | 2012 | 59 | |
| 13 | 2012 | 59 | |
| 14 | 2018 | 57 | |
| 15 | 2013 | 57 | |
| 16 | 2015 | 54 | |
| 17 | 2013 | 54 | |
| 18 | 2015 | 52 | |
| 19 | 2005 | 52 | |
| 20 | 2007 | 49 |
About Yide Mei
Yide Mei is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Immunology, having authored 58 papers that have together received 2.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (16 papers), RNA Research and Splicing (14 papers), Cancer-related Molecular Pathways (13 papers), Ubiquitin and proteasome pathways (13 papers), Cancer-related molecular mechanisms research (10 papers), Cell death mechanisms and regulation (8 papers), MicroRNA in disease regulation (8 papers) and Autophagy in Disease and Therapy (7 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (2.2k citations), Immunology (386 citations), Oncology (423 citations) and Cell Biology (168 citations). Yide Mei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mian Wu, Fan Yang, Huafeng Zhang, Yonghui Yang, Xiaolu Yang, Naseruddin Höti, Mark Castanares, Lin Miao, Li Ma and Shanshan Feng. Their work appears in journals such as Oncogene, Cell Death and Disease, Journal of Biological Chemistry, Cellular Signalling and EMBO 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.