Weiwei Wen
Impact in
- Plant Science top 1%
- Genetics and Plant Breeding
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Biochemistry top 2%
Papers in
-
- Genetics and Plant Breeding 13
- GABA and Rice Research 9
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- Plant Gene Expression Analysis 14
- Plant biochemistry and biosynthesis 13
- Metabolomics and Mass Spectrometry Studies 6
- Co-authors
- Jianbing Yan (21 shared papers)Alisdair R. Fernie (27 shared papers)Saleh Alseekh (11 shared papers)Jie Liu (6 shared papers)Haijun Liu (9 shared papers)Wenqiang Li (6 shared papers)Yang Zhou (4 shared papers)Ning Yang (3 shared papers)
In The Last Decade
Weiwei Wen
69 papers receiving 2.4k citations
Weiwei Wen's Hit Papers
Peers
Comparison fields: 5 of 119
- Plant Science 1.5k
- Biochemistry 199
- Genetics 773
- Horticulture 22
- Molecular Biology 1.1k
Countries citing papers authored by Weiwei Wen
This map shows the geographic impact of Weiwei Wen'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 Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Wen more than expected).
Fields of papers citing papers by Weiwei Wen
This network shows the impact of papers produced by Weiwei Wen. 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 Wen. The network helps show where Weiwei Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei Wen, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Metabolome-based genome-wide association study of maize kernel leads to novel biochemical insights Hit paper breakdown → | 2014 | 387 |
| 2 | 2014 | 287 | |
| 3 | 2020 | 169 | |
| 4 | 2015 | 124 | |
| 5 | 2021 | 84 | |
| 6 | 2015 | 67 | |
| 7 | 2018 | 64 | |
| 8 | 2020 | 61 | |
| 9 | 2011 | 57 | |
| 10 | 2015 | 56 | |
| 11 | 2009 | 55 | |
| 12 | 2020 | 50 | |
| 13 | 2019 | 46 | |
| 14 | 2012 | 41 | |
| 15 | 2012 | 41 | |
| 16 | 2021 | 40 | |
| 17 | 2022 | 40 | |
| 18 | 2018 | 37 | |
| 19 | 2006 | 35 | |
| 20 | 2017 | 34 |
About Weiwei Wen
Weiwei Wen is a scholar working on Plant Science, Molecular Biology, Genetics, Pathology and Forensic Medicine and Cell Biology, having authored 73 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (24 papers), Plant Gene Expression Analysis (14 papers), Plant biochemistry and biosynthesis (13 papers), Genetics and Plant Breeding (13 papers), GABA and Rice Research (9 papers), Tea Polyphenols and Effects (6 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Genetic and phenotypic traits in livestock (5 papers). The work is most often cited by research in Plant Science (1.5k citations), Biochemistry (199 citations), Genetics (773 citations), Horticulture (22 citations) and Molecular Biology (1.1k citations). Weiwei Wen has collaborated with scholars based in China, Germany and Bulgaria. Frequent co-authors include Jianbing Yan, Alisdair R. Fernie, Saleh Alseekh, Jie Liu, Haijun Liu, Wenqiang Li, Yang Zhou, Ning Yang, Jie Luo and Huihui Li. Their work appears in journals such as The Plant Journal, Horticulture Research, Current Opinion in Plant Biology, Journal of Agricultural and Food Chemistry and Trends in Genetics.
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.