Weiwei Chen
- Molecular Biology top 2%
- Plant Reproductive Biology 15
- Advanced biosensing and bioanalysis techniques 14
- Plant tissue culture and regeneration 10
- Photosynthetic Processes and Mechanisms 10
- Cancer Research top 5%
- Plant Science top 2%
- Plant Molecular Biology Research 27
- Plant Stress Responses and Tolerance 14
- Plant nutrient uptake and metabolism 12
- Biochemistry top 5%
- Behavioral Neuroscience top 5%
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- Genetic Mapping and Diversity in Plants and Animals 11
- Co-authors
- Sridharan SoundararajanDaniel FernandesNigel Courtenay-LuckEleanor K. SpicerMichael J. GarabedianInez RogatskyZhen WangWanpeng Xi
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Weiwei Chen
208 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 3.2k
- Cancer Research 589
- Plant Science 1.2k
- Biochemistry 152
- Behavioral Neuroscience 77
Countries citing papers authored by Weiwei Chen
This map shows the geographic impact of Weiwei 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 Weiwei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Chen more than expected).
Fields of papers citing papers by Weiwei Chen
This network shows the impact of papers produced by Weiwei 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 Weiwei Chen. The network helps show where Weiwei Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weiwei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 29 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 42 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 8 | |
| 16 | 2020 | 223 | |
| 17 | 2019 | 25 | |
| 18 | Advances in studies on carotenoids in loquat fruit. | 2016 | 3 |
| 19 | 2011 | 189 | |
| 20 | 2008 | 424 |
About Weiwei Chen
Weiwei Chen is a scholar working on Plant Science, Molecular Biology and Biophysics, having authored 226 papers that have together received 5.3k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (27 papers), Plant Reproductive Biology (15 papers), Advanced biosensing and bioanalysis techniques (14 papers), Plant Stress Responses and Tolerance (14 papers), Plant nutrient uptake and metabolism (12 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Plant tissue culture and regeneration (10 papers) and Photosynthetic Processes and Mechanisms (10 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Cancer Research (589 citations) and Plant Science (1.2k citations). Weiwei Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sridharan Soundararajan, Daniel Fernandes, Nigel Courtenay-Luck, Eleanor K. Spicer, Michael J. Garabedian, Inez Rogatsky, Zhen Wang, Wanpeng Xi, Jianhua Zhao and Qiuyun Zhang. Their work appears in journals such as International Journal of Molecular Sciences, Plants, PLoS ONE, Scientific Reports and Molecular Endocrinology.
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.