Chen Wu
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
Papers in
-
- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 5
- Congenital heart defects research 3
- Phosphodiesterase function and regulation 3
- Signaling Pathways in Disease 2
- Co-authors
- Hongkui Deng (5 shared papers)Zhihua Song (3 shared papers)Yang Zhao (2 shared papers)Xiaolei Yin (2 shared papers)Yushan Guo (3 shared papers)Mingxiao Ding (3 shared papers)Dongxin Zhao (2 shared papers)Shuguang Duo (2 shared papers)
- Journals
- Cell (4 papers)Cell Research (3 papers)Cell Reports (3 papers)Journal of Integrative Agriculture (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chen Wu
28 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 109
- Hepatology 235
- Molecular Biology 1.3k
- Developmental Neuroscience 73
- Cell Biology 286
- Aging 21
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 477 | |
| 2 | 2009 | 414 | |
| 3 | 2010 | 290 | |
| 4 | 2013 | 247 | |
| 5 | 2018 | 132 | |
| 6 | 2009 | 91 | |
| 7 | 2015 | 59 | |
| 8 | 2019 | 55 | |
| 9 | 2018 | 30 | |
| 10 | 2009 | 23 | |
| 11 | 2025 | 20 | |
| 12 | 2022 | 18 | |
| 13 | 2017 | 15 | |
| 14 | 2022 | 13 | |
| 15 | 1987 | 10 | |
| 16 | 2015 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2025 | 10 | |
| 19 | 2025 | 9 | |
| 20 | 2015 | 7 |
About Chen Wu
Chen Wu is a scholar working on Molecular Biology, Hepatology, Cellular and Molecular Neuroscience, Pharmacology and Physiology, having authored 29 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (5 papers), Adipose Tissue and Metabolism (3 papers), Congenital heart defects research (3 papers), Phosphodiesterase function and regulation (3 papers), Medicinal Plant Pharmacodynamics Research (2 papers), Signaling Pathways in Disease (2 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Hepatology (235 citations), Molecular Biology (1.3k citations), Developmental Neuroscience (73 citations), Cell Biology (286 citations) and Aging (21 citations). Chen Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongkui Deng, Zhihua Song, Yang Zhao, Xiaolei Yin, Yushan Guo, Mingxiao Ding, Dongxin Zhao, Shuguang Duo, Xijun Song and Shichun Lu. Their work appears in journals such as Cell, Cell Research, Cell Reports, Journal of Integrative Agriculture 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.