Qian Wu
- Molecular Biology top 10%
- Cancer Research top 5%
- Genetics
- Health, Toxicology and Mutagenesis top 10%
- Infectious Diseases top 10%
- Co-authors
- Zhan ZhangLi GuoLei LiJun ZhuShuyuan CaoLijuan WangGehui YuanZuhong Lu
- Topics
- MicroRNA in disease regulation (12 papers)Cancer-related molecular mechanisms research (11 papers)Circular RNAs in diseases (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaACS NanoThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Qian Wu
55 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.2k
- Cancer Research 467
- Genetics 155
- Health, Toxicology and Mutagenesis 144
- Infectious Diseases 143
Countries citing papers authored by Qian Wu
This map shows the geographic impact of Qian Wu'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 Qian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qian Wu more than expected).
Fields of papers citing papers by Qian Wu
This network shows the impact of papers produced by Qian Wu. 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 Qian Wu. The network helps show where Qian Wu may publish in the future.
Co-authorship network of co-authors of Qian Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Qian Wu. A scholar is included among the top collaborators of Qian Wu 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 Qian Wu. Qian Wu 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | Activation and modulation of the AGEs-RAGE axis: Implications for inflammatory pathologies and therapeutic interventions – A reviewbreakdown → | 76 |
| 6 | 4 | |
| 7 | 25 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 29 | |
| 11 | 6 | |
| 12 | 59 | |
| 13 | A purified membrane protein from Akkermansia muciniphila or the pasteurised bacterium blunts colitis associated tumourigenesis by modulation of CD8 + T cells in micebreakdown → | 461 |
| 14 | 15 | |
| 15 | 21 | |
| 16 | 37 | |
| 17 | 14 | |
| 18 | 28 | |
| 19 | 109 | |
| 20 | 9 |
About Qian Wu
Qian Wu is a scholar working on Cancer Research, Biological Psychiatry and Health, Toxicology and Mutagenesis, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (11 papers) and Circular RNAs in diseases (10 papers). The work is most often cited by research in Cancer Research (467 citations), Biological Psychiatry (67 citations) and Molecular Biology (1.2k citations). Qian Wu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Zhan Zhang, Li Guo, Lei Li, Jun Zhu, Shuyuan Cao, Lijuan Wang, Gehui Yuan, Zuhong Lu, Qinyu Ge and Lei Tang. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and The Journal of Clinical Endocrinology & Metabolism.
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.