Chen Wu
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- DNA Repair Mechanisms 8
- Glycosylation and Glycoproteins Research 5
- RNA modifications and cancer 5
- Cancer-related gene regulation 3
- RNA Research and Splicing 3
- Oncology 12
- PARP inhibition in cancer therapy 4
- Cancer-related Molecular Pathways 3
- Cancer Cells and Metastasis 3
- Co-authors
- Nan Xiao (1 shared paper)Kun Xie (1 shared paper)Yuxin Liu (1 shared paper)Tengfei Liu (1 shared paper)Jing Li (1 shared paper)Xiuhua Liu (10 shared papers)Xiaochun Yu (9 shared papers)Yanan Wang (3 shared papers)
- Journals
- Gene (2 papers)DNA repair (2 papers)Journal of Biological Chemistry (2 papers)Biomedicine & Pharmacotherapy (2 papers)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesGreece
In The Last Decade
Chen Wu
31 papers receiving 684 citations
Peers
Comparison fields: 5 of 94
- Developmental Neuroscience 47
- Cancer Research 99
- Molecular Biology 409
- Oncology 133
- Cellular and Molecular Neuroscience 65
Countries citing papers authored by Chen Wu
This map shows the geographic impact of Chen 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 Chen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Wu more than expected).
Fields of papers citing papers by Chen Wu
This network shows the impact of papers produced by Chen 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 Chen Wu. The network helps show where Chen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 197 | |
| 2 | 2008 | 64 | |
| 3 | 2013 | 46 | |
| 4 | 2019 | 38 | |
| 5 | 2020 | 26 | |
| 6 | 2015 | 26 | |
| 7 | 2021 | 23 | |
| 8 | 2018 | 23 | |
| 9 | 2023 | 22 | |
| 10 | 2019 | 20 | |
| 11 | 2018 | 20 | |
| 12 | 2024 | 20 | |
| 13 | 2017 | 20 | |
| 14 | 2010 | 16 | |
| 15 | 2017 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2020 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2007 | 9 |
About Chen Wu
Chen Wu is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 688 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (8 papers), Glycosylation and Glycoproteins Research (5 papers), RNA modifications and cancer (5 papers), PARP inhibition in cancer therapy (4 papers), Cancer-related Molecular Pathways (3 papers), Cancer Cells and Metastasis (3 papers), Cancer-related gene regulation (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Developmental Neuroscience (47 citations), Cancer Research (99 citations), Molecular Biology (409 citations), Oncology (133 citations) and Cellular and Molecular Neuroscience (65 citations). Chen Wu has collaborated with scholars based in China, United States and Greece. Frequent co-authors include Nan Xiao, Kun Xie, Yuxin Liu, Tengfei Liu, Jing Li, Xiuhua Liu, Xiaochun Yu, Yanan Wang, Kiyohito Murai and Qiang Lü. Their work appears in journals such as Gene, DNA repair, Journal of Biological Chemistry, Biomedicine & Pharmacotherapy and Nature Communications.
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.