Dewei Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Cancer-related gene regulation
- RNA Research and Splicing
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
Papers in
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- RNA Research and Splicing 2
- RNA regulation and disease 2
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- Fluid Dynamics and Mixing 4
- Co-authors
- Jianzhong Bi (4 shared papers)Min Han (2 shared papers)Fan Li (1 shared paper)Yun Wang (1 shared paper)Yingying Xu (1 shared paper)Zhen Liu (1 shared paper)Zhenggang Bi (4 shared papers)Shunliang Xu (4 shared papers)
- Journals
- Progress in Nuclear Energy (2 papers)Frontiers in Cell and Developmental Biology (1 paper)European Cytokine Network (1 paper)Frontiers in Neuroscience (1 paper)International Journal of Multiphase Flow (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dewei Wang
27 papers receiving 538 citations
Peers
Comparison fields: 5 of 113
- Cancer Research 177
- Molecular Biology 349
- Paleontology 25
- Biomaterials 32
- Neurology 20
Countries citing papers authored by Dewei Wang
This map shows the geographic impact of Dewei Wang'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 Dewei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dewei Wang more than expected).
Fields of papers citing papers by Dewei Wang
This network shows the impact of papers produced by Dewei Wang. 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 Dewei Wang. The network helps show where Dewei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dewei Wang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 198 | |
| 2 | 2020 | 62 | |
| 3 | 2012 | 41 | |
| 4 | 2021 | 36 | |
| 5 | 2020 | 31 | |
| 6 | 2014 | 31 | |
| 7 | 2018 | 18 | |
| 8 | 2012 | 16 | |
| 9 | 2014 | 13 | |
| 10 | 2012 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2018 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 8 | |
| 15 | 2014 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 5 | |
| 18 | 2014 | 4 | |
| 19 | 2012 | 4 | |
| 20 | 2024 | 3 |
About Dewei Wang
Dewei Wang is a scholar working on Molecular Biology, Biomedical Engineering, Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials, having authored 29 papers that have together received 546 indexed citations. Recurring topics across this work include Fluid Dynamics and Mixing (4 papers), Reservoir Engineering and Simulation Methods (3 papers), Cancer-related molecular mechanisms research (3 papers), Flow Measurement and Analysis (3 papers), Nerve injury and regeneration (2 papers), RNA Research and Splicing (2 papers), RNA regulation and disease (2 papers) and Hydraulic Fracturing and Reservoir Analysis (2 papers). The work is most often cited by research in Cancer Research (177 citations), Molecular Biology (349 citations), Paleontology (25 citations), Biomaterials (32 citations) and Neurology (20 citations). Dewei Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianzhong Bi, Min Han, Fan Li, Yun Wang, Yingying Xu, Zhen Liu, Zhenggang Bi, Shunliang Xu, Yang Liu and Zhaohong Xie. Their work appears in journals such as Progress in Nuclear Energy, Frontiers in Cell and Developmental Biology, European Cytokine Network, Frontiers in Neuroscience and International Journal of Multiphase Flow.
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.