Mei Mei
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology top 10%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Yu RenXuan ZhouChunsheng KangPeiyu PuGuangxiu WangZhifan JiaPeng XuQifu Li
- Topics
- Cancer-related molecular mechanisms research (13 papers)MicroRNA in disease regulation (11 papers)Circular RNAs in diseases (10 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mei Mei
80 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 1.6k
- Cancer Research 1.1k
- Oncology 356
- Surgery 311
- Endocrinology, Diabetes and Metabolism 279
Countries citing papers authored by Mei Mei
This map shows the geographic impact of Mei 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 Mei Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Mei more than expected).
Fields of papers citing papers by Mei Mei
This network shows the impact of papers produced by Mei 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 Mei Mei. The network helps show where Mei Mei may publish in the future.
Co-authorship network of co-authors of Mei Mei
This figure shows the co-authorship network connecting the top 25 collaborators of Mei Mei. A scholar is included among the top collaborators of Mei Mei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mei Mei. Mei Mei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | Identification of PDCD1 and PDCD1LG2 as Prognostic Biomarkers and Associated with Immune Infiltration in Hepatocellular Carcinoma | 6 |
| 5 | 77 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 43 | |
| 9 | 7 | |
| 10 | 16 | |
| 11 | 43 | |
| 12 | 73 | |
| 13 | 7 | |
| 14 | 174 | |
| 15 | Selection and optimization of total RNA extraction methods from Magnolia sieboldii different tissues | 1 |
| 16 | Ensuring Safe Medication Administration throughDirect Observation | 6 |
| 17 | 198 | |
| 18 | 51 | |
| 19 | 189 | |
| 20 | 296 |
About Mei Mei
Mei Mei is a scholar working on Geriatrics and Gerontology, Cancer Research and Molecular Biology, having authored 86 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (13 papers), MicroRNA in disease regulation (11 papers) and Circular RNAs in diseases (10 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (1.6k citations) and Endocrinology, Diabetes and Metabolism (279 citations). Mei Mei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu Ren, Xuan Zhou, Chunsheng Kang, Peiyu Pu, Guangxiu Wang, Zhifan Jia, Peng Xu, Qifu Li, Shumin Yang and Xubo Yuan. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.