Mei Xu
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Developmental Neuroscience top 5%
- Co-authors
- Gary J. BassellRavi MuddashettySofija KeličChristina GroßPak Lai TangZhong‐Ming QianMuhammad AshrafArthur W. English
- Topics
- CRISPR and Genetic Engineering (5 papers)Pluripotent Stem Cells Research (5 papers)Neurogenesis and neuroplasticity mechanisms (5 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaThe EMBO Journal
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Mei Xu
47 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 810
- Cellular and Molecular Neuroscience 401
- Genetics 263
- Cardiology and Cardiovascular Medicine 150
- Developmental Neuroscience 148
Countries citing papers authored by Mei Xu
This map shows the geographic impact of Mei Xu'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 Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Xu more than expected).
Fields of papers citing papers by Mei Xu
This network shows the impact of papers produced by Mei Xu. 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 Xu. The network helps show where Mei Xu may publish in the future.
Co-authorship network of co-authors of Mei Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Mei Xu. A scholar is included among the top collaborators of Mei Xu 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 Xu. Mei Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 17 | |
| 3 | 3 | |
| 4 | 19 | |
| 5 | 2 | |
| 6 | 26 | |
| 7 | 17 | |
| 8 | 21 | |
| 9 | 37 | |
| 10 | 62 | |
| 11 | 128 | |
| 12 | 96 | |
| 13 | [Effect of silencing myocardin gene expression on differentiation of mouse bone mesenchymal stem cells into smooth muscle-like cells induced by PDGF-BB]. | 1 |
| 14 | 349 | |
| 15 | 21 | |
| 16 | 50 | |
| 17 | 4 | |
| 18 | 25 | |
| 19 | 23 | |
| 20 | 11 |
About Mei Xu
Mei Xu is a scholar working on Developmental Neuroscience, Endocrine and Autonomic Systems and Aquatic Science, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). The work is most often cited by research in Developmental Neuroscience (148 citations), Cellular and Molecular Neuroscience (401 citations) and Molecular Biology (810 citations). Mei Xu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Gary J. Bassell, Ravi Muddashetty, Sofija Kelič, Christina Groß, Pak Lai Tang, Zhong‐Ming Qian, Muhammad Ashraf, Arthur W. English, Yee‐Kong Ng and Seng‐Kee Leong. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and The EMBO Journal.
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.