Duo Xia
Impact in
- Plant Science top 5%
- GABA and Rice Research
- Rice Cultivation and Yield Improvement
- Genetics and Plant Breeding
- Plant Molecular Biology Research
- Wheat and Barley Genetics and Pathology
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
- Genetics 17
- Genetic Mapping and Diversity in Plants and Animals 17
- Genetic and phenotypic traits in livestock 2
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- Rice Cultivation and Yield Improvement 13
- GABA and Rice Research 13
- Co-authors
- Yuqing He (18 shared papers)Hao Zhou (20 shared papers)Pingbo Li (9 shared papers)Bian Wu (8 shared papers)Guanjun Gao (14 shared papers)Qinglu Zhang (14 shared papers)Junxiao Chen (4 shared papers)Gongwei Wang (6 shared papers)
In The Last Decade
Duo Xia
27 papers receiving 825 citations
Peers
Comparison fields: 5 of 64
- Plant Science 590
- Genetics 356
- Nutrition and Dietetics 113
- Biochemistry 28
- Cancer Research 47
Countries citing papers authored by Duo Xia
This map shows the geographic impact of Duo Xia'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 Duo Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duo Xia more than expected).
Fields of papers citing papers by Duo Xia
This network shows the impact of papers produced by Duo Xia. 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 Duo Xia. The network helps show where Duo Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Duo Xia, 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 | 2019 | 143 | |
| 2 | 2018 | 136 | |
| 3 | 2021 | 82 | |
| 4 | 2017 | 79 | |
| 5 | 2020 | 72 | |
| 6 | 2020 | 51 | |
| 7 | 2023 | 46 | |
| 8 | 2019 | 37 | |
| 9 | 2019 | 35 | |
| 10 | 2022 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2023 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2017 | 15 | |
| 15 | 2017 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2017 | 9 | |
| 19 | 2021 | 7 | |
| 20 | 2022 | 7 |
About Duo Xia
Duo Xia is a scholar working on Genetics, Plant Science, Nutrition and Dietetics, Cancer Research and Molecular Biology, having authored 31 papers that have together received 836 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (17 papers), Rice Cultivation and Yield Improvement (13 papers), GABA and Rice Research (13 papers), Food composition and properties (3 papers), Plant Gene Expression Analysis (2 papers), Circular RNAs in diseases (2 papers), Cancer-related molecular mechanisms research (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Plant Science (590 citations), Genetics (356 citations), Nutrition and Dietetics (113 citations), Biochemistry (28 citations) and Cancer Research (47 citations). Duo Xia has collaborated with scholars based in China, Australia and Pakistan. Frequent co-authors include Yuqing He, Hao Zhou, Pingbo Li, Bian Wu, Guanjun Gao, Qinglu Zhang, Junxiao Chen, Gongwei Wang, Jinghua Xiao and Xianghua Li. Their work appears in journals such as Molecular Breeding, Rice, Plant Biotechnology Journal, Molecular Plant and Frontiers in Plant Science.
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.