Duo Xia
Impact in
- Plant Science top 5%
- GABA and Rice Research
- Rice Cultivation and Yield Improvement
- Genetics and Plant Breeding
- Wheat and Barley Genetics and Pathology
- Plant Molecular Biology Research
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- GABA and Rice Research 12
- Rice Cultivation and Yield Improvement 11
- Genetics and Plant Breeding 2
- Genetics 16
- Genetic Mapping and Diversity in Plants and Animals 16
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Yuqing He (17 shared papers)Hao Zhou (18 shared papers)Pingbo Li (8 shared papers)Guanjun Gao (13 shared papers)Bian Wu (7 shared papers)Qinglu Zhang (13 shared papers)Gongwei Wang (6 shared papers)Jinghua Xiao (6 shared papers)
- Journals
- Molecular Breeding (6 papers)Rice (4 papers)Plant Biotechnology Journal (3 papers)Frontiers in Plant Science (2 papers)Molecular Plant (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Duo Xia
26 papers receiving 657 citations
Peers
Comparison fields: 5 of 62
- Plant Science 455
- Genetics 248
- Nutrition and Dietetics 101
- Biochemistry 28
- Cancer Research 46
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 141 | |
| 2 | 2021 | 77 | |
| 3 | 2017 | 74 | |
| 4 | 2020 | 67 | |
| 5 | 2020 | 45 | |
| 6 | 2023 | 43 | |
| 7 | 2019 | 38 | |
| 8 | 2019 | 35 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 16 | |
| 11 | 2017 | 15 | |
| 12 | 2020 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2019 | 12 | |
| 15 | 2017 | 12 | |
| 16 | 2022 | 10 | |
| 17 | 2017 | 9 | |
| 18 | 2022 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2019 | 3 |
About Duo Xia
Duo Xia is a scholar working on Plant Science, Genetics, Molecular Biology, Nutrition and Dietetics and Cancer Research, having authored 28 papers that have together received 665 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (16 papers), GABA and Rice Research (12 papers), Rice Cultivation and Yield Improvement (11 papers), Food composition and properties (3 papers), Plant Gene Expression Analysis (2 papers), Circular RNAs in diseases (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Genetics and Plant Breeding (2 papers). The work is most often cited by research in Plant Science (455 citations), Genetics (248 citations), Nutrition and Dietetics (101 citations), Biochemistry (28 citations) and Cancer Research (46 citations). Duo Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuqing He, Hao Zhou, Pingbo Li, Guanjun Gao, Bian Wu, Qinglu Zhang, Gongwei Wang, Jinghua Xiao, Xingming Lian and Xianghua Li. Their work appears in journals such as Molecular Breeding, Rice, Plant Biotechnology Journal, Frontiers in Plant Science and Molecular Plant.
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.