Weiwei Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Behavioral Neuroscience top 10%
Papers in
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- Extracellular vesicles in disease 6
- Planarian Biology and Electrostimulation 5
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- Cancer-related molecular mechanisms research 8
- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Abdel Elkahloun (10 shared papers)Taixing Cui (8 shared papers)Xing Li Wang (5 shared papers)Ying H. Shen (2 shared papers)Yun Mao (2 shared papers)Shawn M. Burgess (5 shared papers)Wei Luo (2 shared papers)Hao Xu (2 shared papers)
- Journals
- PLoS ONE (5 papers)Scientific Reports (4 papers)International Journal of Molecular Sciences (3 papers)Gene (3 papers)Frontiers in Genetics (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Weiwei Wu
80 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 303
- Behavioral Neuroscience 69
- Molecular Biology 952
- Biological Psychiatry 33
- Immunology 219
Countries citing papers authored by Weiwei Wu
This map shows the geographic impact of Weiwei 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 Weiwei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Wu more than expected).
Fields of papers citing papers by Weiwei Wu
This network shows the impact of papers produced by Weiwei 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 Weiwei Wu. The network helps show where Weiwei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei 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
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 293 | |
| 2 | 2013 | 201 | |
| 3 | 2015 | 145 | |
| 4 | 2017 | 122 | |
| 5 | 2014 | 112 | |
| 6 | 2020 | 100 | |
| 7 | 2019 | 86 | |
| 8 | 2013 | 54 | |
| 9 | 2019 | 49 | |
| 10 | 2013 | 38 | |
| 11 | 2018 | 38 | |
| 12 | 2019 | 37 | |
| 13 | 2021 | 34 | |
| 14 | 2019 | 34 | |
| 15 | 2021 | 32 | |
| 16 | 2021 | 31 | |
| 17 | 2013 | 31 | |
| 18 | 2018 | 30 | |
| 19 | 2020 | 29 | |
| 20 | 2014 | 28 |
About Weiwei Wu
Weiwei Wu is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Materials Chemistry, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Marine Ecology and Invasive Species (6 papers), Extracellular vesicles in disease (6 papers), Planarian Biology and Electrostimulation (5 papers), Magnetism in coordination complexes (5 papers), Hair Growth and Disorders (5 papers), Autophagy in Disease and Therapy (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Cancer Research (303 citations), Behavioral Neuroscience (69 citations), Molecular Biology (952 citations), Biological Psychiatry (33 citations) and Immunology (219 citations). Weiwei Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Abdel Elkahloun, Taixing Cui, Xing Li Wang, Ying H. Shen, Yun Mao, Shawn M. Burgess, Wei Luo, Hao Xu, Matthew C. LaFave and Randy J. Chandler. Their work appears in journals such as PLoS ONE, Scientific Reports, International Journal of Molecular Sciences, Gene and Frontiers in Genetics.
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.