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
-
- Neuroscience and Neuropharmacology Research 9
-
- Congenital heart defects research 2
- Nicotinic Acetylcholine Receptors Study 2
- 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)Christian P. Schaaf (2 shared papers)Jiani Yin (2 shared papers)Jie Wu (4 shared papers)
- Journals
- eLife (5 papers)Scientific Reports (2 papers)CNS Neuroscience & Therapeutics (2 papers)BMJ Open (1 paper)Network Computation in Neural Systems (1 paper)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Wu Chen
26 papers receiving 523 citations
Peers
Comparison fields: 5 of 102
- Genetics 232
- Cognitive Neuroscience 142
- Cellular and Molecular Neuroscience 108
- Developmental Neuroscience 17
- Molecular Biology 237
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 | 82 | |
| 2 | 2016 | 74 | |
| 3 | 2018 | 53 | |
| 4 | 2020 | 45 | |
| 5 | 2018 | 40 | |
| 6 | 2017 | 36 | |
| 7 | 2010 | 31 | |
| 8 | 2018 | 27 | |
| 9 | 2012 | 26 | |
| 10 | 2019 | 19 | |
| 11 | 2008 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2014 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2017 | 11 | |
| 16 | 2020 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2009 | 4 | |
| 19 | 2011 | 3 | |
| 20 | 2024 | 3 |
About Wu Chen
Wu Chen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Genetics and Control and Systems Engineering, having authored 31 papers that have together received 529 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Genetics and Neurodevelopmental Disorders (4 papers), Autism Spectrum Disorder Research (3 papers), Neural dynamics and brain function (3 papers), Power Systems and Technologies (2 papers), Congenital heart defects research (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers) and Simulation and Modeling Applications (2 papers). The work is most often cited by research in Genetics (232 citations), Cognitive Neuroscience (142 citations), Cellular and Molecular Neuroscience (108 citations), Developmental Neuroscience (17 citations) and Molecular Biology (237 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, Christian P. Schaaf, Jiani Yin, Jie Wu, Jiao Liu and Xiaolei Yang. Their work appears in journals such as eLife, Scientific Reports, CNS Neuroscience & Therapeutics, BMJ Open and Network Computation in Neural Systems.
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.