Chen Wu
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Transplantation top 2%
Papers in
-
- RNA modifications and cancer 18
- Epigenetics and DNA Methylation 11
- DNA Repair Mechanisms 8
- Oncology 29
- Pancreatic and Hepatic Oncology Research 10
- Co-authors
- Dongxin Lin (68 shared papers)Wen Tan (47 shared papers)Dianke Yu (35 shared papers)Liming Huang (7 shared papers)Tongwen Zhang (6 shared papers)Jian Xu (2 shared papers)Chengfeng Wang (2 shared papers)Xu Che (2 shared papers)
- Journals
- Cancer Research (8 papers)PLoS ONE (7 papers)Carcinogenesis (5 papers)The Science of The Total Environment (4 papers)Molecular Carcinogenesis (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chen Wu
167 papers receiving 5.0k citations
Chen Wu's Hit Papers
Peers
Comparison fields: 5 of 177
- Cancer Research 1.2k
- Transplantation 133
- Oncology 807
- Molecular Biology 2.0k
- Health, Toxicology and Mutagenesis 361
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 177 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 494 | |
| 2 | 2013 | 169 | |
| 3 | Tumor initiation and early tumorigenesis: molecular mechanisms and interventional targets Hit paper breakdown → | 2024 | 166 |
| 4 | 2007 | 163 | |
| 5 | 2010 | 143 | |
| 6 | 2013 | 142 | |
| 7 | 2012 | 118 | |
| 8 | 2009 | 116 | |
| 9 | 2021 | 110 | |
| 10 | 2023 | 104 | |
| 11 | 2020 | 96 | |
| 12 | 2013 | 92 | |
| 13 | 2013 | 88 | |
| 14 | 2016 | 74 | |
| 15 | 2009 | 72 | |
| 16 | 2012 | 70 | |
| 17 | 2014 | 68 | |
| 18 | 2016 | 68 | |
| 19 | 2006 | 65 | |
| 20 | 2011 | 64 |
About Chen Wu
Chen Wu is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Immunology, having authored 177 papers that have together received 5.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (18 papers), Epigenetics and DNA Methylation (11 papers), Esophageal Cancer Research and Treatment (10 papers), Pancreatic and Hepatic Oncology Research (10 papers), Air Quality and Health Impacts (10 papers), DNA Repair Mechanisms (8 papers), Cancer-related molecular mechanisms research (8 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Cancer Research (1.2k citations), Transplantation (133 citations), Oncology (807 citations), Molecular Biology (2.0k citations) and Health, Toxicology and Mutagenesis (361 citations). Chen Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dongxin Lin, Wen Tan, Dianke Yu, Liming Huang, Tongwen Zhang, Jian Xu, Chengfeng Wang, Xu Che, Li Wang and Hui Li. Their work appears in journals such as Cancer Research, PLoS ONE, Carcinogenesis, The Science of The Total Environment and Molecular Carcinogenesis.
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.