Xiaowan Gou
Impact in
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Wheat and Barley Genetics and Pathology
- Plant Disease Resistance and Genetics
- Plant Virus Research Studies
- Plant nutrient uptake and metabolism
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- Genetic Mapping and Diversity in Plants and Animals
Papers in
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- Wheat and Barley Genetics and Pathology 11
- Chromosomal and Genetic Variations 11
- Plant Disease Resistance and Genetics 8
- Plant Virus Research Studies 1
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- Genomics and Phylogenetic Studies 1
- Co-authors
- Liu B (11 shared papers)Huakun Zhang (8 shared papers)Yao Bian (5 shared papers)Ning Li (5 shared papers)Chunming Xu (3 shared papers)Qi Bao (3 shared papers)Bo Zhu (3 shared papers)Sachin Rustgi (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Plant Journal (2 papers)Scientific Reports (1 paper)PLANT PHYSIOLOGY (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Xiaowan Gou
10 papers receiving 466 citations
Peers
Comparison fields: 5 of 33
- Plant Science 450
- Genetics 140
- Molecular Biology 173
- Horticulture 2
- Agronomy and Crop Science 11
Countries citing papers authored by Xiaowan Gou
This map shows the geographic impact of Xiaowan Gou'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 Xiaowan Gou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowan Gou more than expected).
Fields of papers citing papers by Xiaowan Gou
This network shows the impact of papers produced by Xiaowan Gou. 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 Xiaowan Gou. The network helps show where Xiaowan Gou may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowan Gou, 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 | 2013 | 162 | |
| 2 | 2013 | 70 | |
| 3 | 2014 | 60 | |
| 4 | 2020 | 57 | |
| 5 | 2017 | 41 | |
| 6 | 2018 | 35 | |
| 7 | 2016 | 22 | |
| 8 | 2022 | 12 | |
| 9 | 2023 | 9 | |
| 10 | 2022 | 3 | |
| 11 | 2020 | 0 |
About Xiaowan Gou
Xiaowan Gou is a scholar working on Plant Science, Molecular Biology, Genetics, Infectious Diseases and Organic Chemistry, having authored 11 papers that have together received 471 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (11 papers), Chromosomal and Genetic Variations (11 papers), Plant Disease Resistance and Genetics (8 papers), Genomics and Phylogenetic Studies (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Plant Virus Research Studies (1 paper). The work is most often cited by research in Plant Science (450 citations), Genetics (140 citations), Molecular Biology (173 citations), Horticulture (2 citations) and Agronomy and Crop Science (11 citations). Xiaowan Gou has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Liu B, Huakun Zhang, Yao Bian, Ning Li, Chunming Xu, Qi Bao, Bo Zhu, Sachin Rustgi, Fangpu Han and Diter von Wettstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Plant Journal, Scientific Reports, PLANT PHYSIOLOGY and Molecular Biology and Evolution.
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.