Wu Chen
Impact in
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
Papers in
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- Congenital heart defects research 2
-
- Neuroscience and Neuropharmacology Research 7
- Co-authors
- Mingshan Xue (8 shared papers)Huda Y. Zoghbi (5 shared papers)Wei Wang (4 shared papers)Jianrong Tang (3 shared papers)Hui Lü (2 shared papers)Eugene Chao (5 shared papers)Jiani Yin (2 shared papers)Christian P. Schaaf (2 shared papers)
- Journals
- eLife (5 papers)CNS Neuroscience & Therapeutics (2 papers)Scientific Reports (2 papers)The American Journal of Human Genetics (1 paper)Neuropharmacology (1 paper)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Wu Chen
27 papers receiving 542 citations
Peers
Comparison fields: 5 of 101
- Genetics 231
- Cognitive Neuroscience 132
- Cellular and Molecular Neuroscience 102
- Developmental Neuroscience 15
- Molecular Biology 225
Countries citing papers authored by Wu Chen
This map shows the geographic impact of Wu Chen'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 Wu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Chen more than expected).
Fields of papers citing papers by Wu Chen
This network shows the impact of papers produced by Wu Chen. 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 Wu Chen. The network helps show where Wu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Chen, 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 | 2016 | 86 | |
| 2 | 2016 | 75 | |
| 3 | 2018 | 55 | |
| 4 | 2020 | 48 | |
| 5 | 2018 | 40 | |
| 6 | 2017 | 36 | |
| 7 | 2010 | 32 | |
| 8 | 2018 | 27 | |
| 9 | 2012 | 26 | |
| 10 | 2019 | 22 | |
| 11 | 2023 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2008 | 14 | |
| 14 | 2014 | 12 | |
| 15 | 2017 | 11 | |
| 16 | 2020 | 6 | |
| 17 | 2009 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2011 | 3 |
About Wu Chen
Wu Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Genetics and Control and Systems Engineering, having authored 31 papers that have together received 546 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Genetics and Neurodevelopmental Disorders (4 papers), Neural dynamics and brain function (3 papers), Cellular transport and secretion (2 papers), Congenital heart defects research (2 papers), Autism Spectrum Disorder Research (2 papers), Power Systems and Technologies (2 papers) and Corporate Social Responsibility Reporting (2 papers). The work is most often cited by research in Genetics (231 citations), Cognitive Neuroscience (132 citations), Cellular and Molecular Neuroscience (102 citations), Developmental Neuroscience (15 citations) and Molecular Biology (225 citations). Wu Chen has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Mingshan Xue, Huda Y. Zoghbi, Wei Wang, Jianrong Tang, Hui Lü, Eugene Chao, Jiani Yin, Christian P. Schaaf, Jiao Liu and Ling‐Yun He. Their work appears in journals such as eLife, CNS Neuroscience & Therapeutics, Scientific Reports, The American Journal of Human Genetics and Neuropharmacology.
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.