Xiaojing Dang
Impact in
- Plant Science top 10%
- Rice Cultivation and Yield Improvement
- GABA and Rice Research
- Genetics and Plant Breeding
- Plant Molecular Biology Research
- Plant responses to water stress
- Plant Disease Resistance and Genetics
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Rice Cultivation and Yield Improvement 17
- Genetics and Plant Breeding 10
- GABA and Rice Research 8
- Plant Molecular Biology Research 5
- Plant responses to water stress 3
- Genetics 27
- Genetic Mapping and Diversity in Plants and Animals 27
- Genetic and phenotypic traits in livestock 4
- Co-authors
- Delin Hong (27 shared papers)Erbao Liu (20 shared papers)Hui Wang (4 shared papers)Xiaoxiao Hu (7 shared papers)Dalu Li (10 shared papers)Lijun Liang (4 shared papers)Yuanqing Zhang (6 shared papers)Yulong Li (5 shared papers)
In The Last Decade
Xiaojing Dang
36 papers receiving 399 citations
Peers
Comparison fields: 5 of 42
- Plant Science 348
- Genetics 245
- Agronomy and Crop Science 38
- Horticulture 2
- Industrial and Manufacturing Engineering 13
Countries citing papers authored by Xiaojing Dang
This map shows the geographic impact of Xiaojing Dang'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 Xiaojing Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojing Dang more than expected).
Fields of papers citing papers by Xiaojing Dang
This network shows the impact of papers produced by Xiaojing Dang. 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 Xiaojing Dang. The network helps show where Xiaojing Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojing Dang, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 83 | |
| 2 | 2016 | 29 | |
| 3 | 2016 | 28 | |
| 4 | 2019 | 28 | |
| 5 | 2020 | 22 | |
| 6 | 2018 | 21 | |
| 7 | 2019 | 20 | |
| 8 | 2015 | 20 | |
| 9 | 2022 | 19 | |
| 10 | 2020 | 19 | |
| 11 | 2017 | 13 | |
| 12 | 2024 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2021 | 6 |
About Xiaojing Dang
Xiaojing Dang is a scholar working on Plant Science, Genetics, Agronomy and Crop Science, Molecular Biology and Control and Systems Engineering, having authored 36 papers that have together received 406 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (27 papers), Rice Cultivation and Yield Improvement (17 papers), Genetics and Plant Breeding (10 papers), GABA and Rice Research (8 papers), Plant Molecular Biology Research (5 papers), Genetic and phenotypic traits in livestock (4 papers), Plant responses to water stress (3 papers) and Crop Yield and Soil Fertility (3 papers). The work is most often cited by research in Plant Science (348 citations), Genetics (245 citations), Agronomy and Crop Science (38 citations), Horticulture (2 citations) and Industrial and Manufacturing Engineering (13 citations). Xiaojing Dang has collaborated with scholars based in China, Pakistan and Syria. Frequent co-authors include Delin Hong, Erbao Liu, Hui Wang, Xiaoxiao Hu, Dalu Li, Lijun Liang, Yuanqing Zhang, Yulong Li, Changmin Hu and Hui Wang. Their work appears in journals such as Frontiers in Plant Science, Euphytica, BMC Genetics, Planta and Theoretical and Applied 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.