Aiwei Wu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
Papers in
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- RNA Research and Splicing 4
- Circular RNAs in diseases 3
- RNA modifications and cancer 3
- Genomics and Chromatin Dynamics 2
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- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 4
- Co-authors
- Yongsheng Li (6 shared papers)Xia Li (6 shared papers)Juan Xu (6 shared papers)Jing Bai (5 shared papers)Zheng Zhao (4 shared papers)Yuan Wang (2 shared papers)Tingting Shao (4 shared papers)Jinwen Zhang (1 shared paper)
- Journals
- Molecular BioSystems (3 papers)Communications Biology (3 papers)Nature Communications (1 paper)iScience (1 paper)Briefings in Functional Genomics (1 paper)
- Partner nations
- ChinaTürkiyeUnited States
In The Last Decade
Aiwei Wu
14 papers receiving 318 citations
Peers
Comparison fields: 5 of 47
- Cancer Research 183
- Molecular Biology 209
- Immunology 17
- Endocrinology 4
- Hematology 7
Countries citing papers authored by Aiwei Wu
This map shows the geographic impact of Aiwei 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 Aiwei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aiwei Wu more than expected).
Fields of papers citing papers by Aiwei Wu
This network shows the impact of papers produced by Aiwei 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 Aiwei Wu. The network helps show where Aiwei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Aiwei Wu, 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 | 2015 | 92 | |
| 2 | 2016 | 54 | |
| 3 | 2015 | 43 | |
| 4 | 2021 | 34 | |
| 5 | 2023 | 29 | |
| 6 | 2014 | 24 | |
| 7 | 2024 | 13 | |
| 8 | 2015 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2013 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 |
About Aiwei Wu
Aiwei Wu is a scholar working on Molecular Biology, Cancer Research, Immunology, Hematology and Physiology, having authored 15 papers that have together received 323 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), RNA Research and Splicing (4 papers), Circular RNAs in diseases (3 papers), Immune Cell Function and Interaction (3 papers), RNA modifications and cancer (3 papers), Acute Myeloid Leukemia Research (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Cancer Research (183 citations), Molecular Biology (209 citations), Immunology (17 citations), Endocrinology (4 citations) and Hematology (7 citations). Aiwei Wu has collaborated with scholars based in China, Türkiye and United States. Frequent co-authors include Yongsheng Li, Xia Li, Juan Xu, Jing Bai, Zheng Zhao, Yuan Wang, Tingting Shao, Jinwen Zhang, Zishan Wang and Liquan Hong. Their work appears in journals such as Molecular BioSystems, Communications Biology, Nature Communications, iScience and Briefings in Functional Genomics.
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.