Quan Du
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
Papers in
- Neurology 37
- Intracerebral and Subarachnoid Hemorrhage Research 14
- Traumatic Brain Injury and Neurovascular Disturbances 14
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- MicroRNA in disease regulation 16
- Cancer-related molecular mechanisms research 13
- Co-authors
- Zicai LiangYuanyu HuangAlexander VologodskiiShutao GuoXiao‐Qiao DongWenhua YuYi FanXing‐Jie Liang
- Journals
- Clinica Chimica Acta (14 papers)Biochemical and Biophysical Research Communications (7 papers)Scientific Reports (6 papers)Biomaterials (5 papers)Nucleic Acids Research (4 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Quan Du
134 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 138
- Cancer Research 857
- Molecular Biology 3.1k
- Neurology 460
- Biomaterials 319
- Immunology 371
Countries citing papers authored by Quan Du
This map shows the geographic impact of Quan Du'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 Quan Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quan Du more than expected).
Fields of papers citing papers by Quan Du
This network shows the impact of papers produced by Quan Du. 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 Quan Du. The network helps show where Quan Du may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Quan Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2019 | 41 | |
| 9 | 2018 | 213 | |
| 10 | 2016 | 9 | |
| 11 | 2016 | 1 | |
| 12 | 2014 | 44 | |
| 13 | 2014 | 32 | |
| 14 | 2013 | 109 | |
| 15 | 2013 | 18 | |
| 16 | 2008 | 59 | |
| 17 | 2007 | 11 | |
| 18 | 2005 | 208 | |
| 19 | 2005 | 30 | |
| 20 | 2003 | 51 |
About Quan Du
Quan Du is a scholar working on Neurology, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Neurology, having authored 134 papers that have together received 4.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (36 papers), Advanced biosensing and bioanalysis techniques (33 papers), MicroRNA in disease regulation (16 papers), Intracerebral and Subarachnoid Hemorrhage Research (14 papers), Traumatic Brain Injury and Neurovascular Disturbances (14 papers), Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (12 papers) and RNA and protein synthesis mechanisms (11 papers). The work is most often cited by research in Cancer Research (857 citations), Molecular Biology (3.1k citations), Neurology (460 citations), Biomaterials (319 citations) and Immunology (371 citations). Quan Du has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Zicai Liang, Yuanyu Huang, Alexander Vologodskii, Shutao Guo, Xiao‐Qiao Dong, Wenhua Yu, Yi Fan, Xing‐Jie Liang, Maria Vologodskaia and Anjie Dong. Their work appears in journals such as Clinica Chimica Acta, Biochemical and Biophysical Research Communications, Scientific Reports, Biomaterials and Nucleic Acids Research.
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.