Dabing Yang
Impact in
-
- Tryptophan and brain disorders
-
- Plant Disease Resistance and Genetics
- Rice Cultivation and Yield Improvement
- Plant-Microbe Interactions and Immunity
- GABA and Rice Research
- Plant Pathogenic Bacteria Studies
Papers in
-
- Plant Disease Resistance and Genetics 3
- Plant-Microbe Interactions and Immunity 2
- Plant Pathogenic Bacteria Studies 2
- Wheat and Barley Genetics and Pathology 1
- Co-authors
- Tongmin Mou (5 shared papers)Jiefeng Jiang (2 shared papers)Jauhar Ali (2 shared papers)Junbin Huang (1 shared paper)Yi Chen (1 shared paper)Di Yang (1 shared paper)Ying Chen (1 shared paper)Yidan Ouyang (1 shared paper)
- Journals
- Rice (2 papers)Frontiers in Plant Science (2 papers)Journal of Translational Medicine (1 paper)Drones (1 paper)Theranostics (1 paper)
- Partner nations
- ChinaPhilippinesNorway
In The Last Decade
Dabing Yang
10 papers receiving 132 citations
Peers
Comparison fields: 5 of 42
- Biological Psychiatry 21
- Plant Science 81
- Genetics 44
- Behavioral Neuroscience 5
- Molecular Biology 55
Countries citing papers authored by Dabing Yang
This map shows the geographic impact of Dabing Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dabing Yang more than expected).
Fields of papers citing papers by Dabing Yang
This network shows the impact of papers produced by Dabing Yang. 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 Yang. The network helps show where Dabing Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dabing Yang, 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 | 2024 | 34 | |
| 2 | 2015 | 30 | |
| 3 | 2018 | 25 | |
| 4 | 2019 | 18 | |
| 5 | 2012 | 12 | |
| 6 | 2021 | 9 | |
| 7 | 2025 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2021 | 0 |
About Dabing Yang
Dabing Yang is a scholar working on Molecular Biology, Plant Science, Genetics, Biological Psychiatry and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 135 indexed citations. Recurring topics across this work include Plant Disease Resistance and Genetics (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Plant Pathogenic Bacteria Studies (2 papers), Tryptophan and brain disorders (2 papers), Advanced Neural Network Applications (2 papers), Wheat and Barley Genetics and Pathology (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Biological Psychiatry (21 citations), Plant Science (81 citations), Genetics (44 citations), Behavioral Neuroscience (5 citations) and Molecular Biology (55 citations). Dabing Yang has collaborated with scholars based in China, Philippines and Norway. Frequent co-authors include Tongmin Mou, Jiefeng Jiang, Jauhar Ali, Junbin Huang, Yi Chen, Di Yang, Ying Chen, Yidan Ouyang, Min Yao and Shen He. Their work appears in journals such as Rice, Frontiers in Plant Science, Journal of Translational Medicine, Drones and Theranostics.
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.