Wei Mu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Extracellular vesicles in disease 8
- Lipid Membrane Structure and Behavior 5
- Advanced biosensing and bioanalysis techniques 4
- Circular RNAs in diseases 4
- RNA Interference and Gene Delivery 3
-
- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 3
- Co-authors
- Margot Zöller (6 shared papers)Liyuan Cao (3 shared papers)Sanyukta Rana (1 shared paper)Xiaojun Han (11 shared papers)Shijing Yue (2 shared papers)Ulrike Erb (1 shared paper)Jingquan Li (8 shared papers)Hang Du (3 shared papers)
- Journals
- Oncotarget (4 papers)Ecotoxicology and Environmental Safety (3 papers)Cancer Letters (2 papers)Journal of Molecular Cell Biology (2 papers)The Science of The Total Environment (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Wei Mu
43 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 460
- Immunology and Allergy 113
- Molecular Biology 998
- Neurology 79
- Immunology 204
Countries citing papers authored by Wei Mu
This map shows the geographic impact of Wei Mu'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 Wei Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Mu more than expected).
Fields of papers citing papers by Wei Mu
This network shows the impact of papers produced by Wei Mu. 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 Wei Mu. The network helps show where Wei Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Mu, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 217 | |
| 2 | 2020 | 192 | |
| 3 | 2014 | 147 | |
| 4 | 2019 | 104 | |
| 5 | 2019 | 101 | |
| 6 | 2020 | 85 | |
| 7 | 2022 | 78 | |
| 8 | 2014 | 69 | |
| 9 | 2013 | 59 | |
| 10 | 2020 | 51 | |
| 11 | 2021 | 49 | |
| 12 | 2021 | 47 | |
| 13 | 2015 | 45 | |
| 14 | 2021 | 36 | |
| 15 | 2020 | 32 | |
| 16 | 2024 | 27 | |
| 17 | 2019 | 26 | |
| 18 | 2016 | 25 | |
| 19 | 2022 | 25 | |
| 20 | 2021 | 23 |
About Wei Mu
Wei Mu is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Health, Toxicology and Mutagenesis and Oncology, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (8 papers), Lipid Membrane Structure and Behavior (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Circular RNAs in diseases (4 papers), Cell Adhesion Molecules Research (4 papers), RNA Interference and Gene Delivery (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (460 citations), Immunology and Allergy (113 citations), Molecular Biology (998 citations), Neurology (79 citations) and Immunology (204 citations). Wei Mu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Margot Zöller, Liyuan Cao, Sanyukta Rana, Xiaojun Han, Shijing Yue, Ulrike Erb, Jingquan Li, Hang Du, Qian Ba and Hui Wang. Their work appears in journals such as Oncotarget, Ecotoxicology and Environmental Safety, Cancer Letters, Journal of Molecular Cell Biology and The Science of The Total Environment.
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.