Dabing Xiang
Impact in
- Food Science top 2%
- Seed and Plant Biochemistry
- Plant Science top 5%
- Plant Molecular Biology Research
- Mycorrhizal Fungi and Plant Interactions
- Plant Stress Responses and Tolerance
Papers in
- Food Science 46
- Seed and Plant Biochemistry 45
-
- Plant Molecular Biology Research 14
- Plant nutrient uptake and metabolism 6
- Plant Stress Responses and Tolerance 6
- Co-authors
- Yan Wan (44 shared papers)Gang Zhao (28 shared papers)Liang Zou (39 shared papers)Lianxin Peng (25 shared papers)Qi Wu (16 shared papers)Gang Zhao (7 shared papers)Xiaoyong Wu (14 shared papers)Changying Liu (31 shared papers)
In The Last Decade
Dabing Xiang
85 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Food Science 394
- Plant Science 642
- Nutrition and Dietetics 217
- Physiology 52
- Agronomy and Crop Science 73
Countries citing papers authored by Dabing Xiang
This map shows the geographic impact of Dabing Xiang'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 Dabing Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dabing Xiang more than expected).
Fields of papers citing papers by Dabing Xiang
This network shows the impact of papers produced by Dabing Xiang. 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 Dabing Xiang. The network helps show where Dabing Xiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dabing Xiang, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 68 | |
| 2 | 2019 | 57 | |
| 3 | 2021 | 56 | |
| 4 | 2019 | 51 | |
| 5 | 2020 | 49 | |
| 6 | 2016 | 45 | |
| 7 | 2017 | 41 | |
| 8 | 2021 | 41 | |
| 9 | 2019 | 33 | |
| 10 | 2021 | 30 | |
| 11 | 2019 | 30 | |
| 12 | 2014 | 29 | |
| 13 | 2012 | 28 | |
| 14 | 2021 | 28 | |
| 15 | 2012 | 27 | |
| 16 | 2022 | 27 | |
| 17 | 2022 | 27 | |
| 18 | 2020 | 27 | |
| 19 | 2022 | 24 | |
| 20 | 2019 | 23 |
About Dabing Xiang
Dabing Xiang is a scholar working on Food Science, Plant Science, Nutrition and Dietetics, Agronomy and Crop Science and Physiology, having authored 89 papers that have together received 1.2k indexed citations. Recurring topics across this work include Seed and Plant Biochemistry (45 papers), Microbial Metabolites in Food Biotechnology (22 papers), Plant Molecular Biology Research (14 papers), Magnetic and Electromagnetic Effects (11 papers), Food composition and properties (10 papers), Agronomic Practices and Intercropping Systems (9 papers), Plant nutrient uptake and metabolism (6 papers) and Plant Stress Responses and Tolerance (6 papers). The work is most often cited by research in Food Science (394 citations), Plant Science (642 citations), Nutrition and Dietetics (217 citations), Physiology (52 citations) and Agronomy and Crop Science (73 citations). Dabing Xiang has collaborated with scholars based in China, Hungary and Israel. Frequent co-authors include Yan Wan, Gang Zhao, Liang Zou, Lianxin Peng, Qi Wu, Gang Zhao, Xiaoyong Wu, Changying Liu, Xueling Ye and Gang Zhao. Their work appears in journals such as Agronomy, BMC Genomics, International Journal of Biological Macromolecules, Plant Production Science and BMC Plant Biology.
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.