Dabing Zhang
- Plant Science top 0.2%
- Molecular Biology top 1%
- Materials Chemistry top 5%
- Biomedical Engineering top 5%
- Genetics top 5%
- Topics
- Plant Molecular Biology Research (44 papers)Plant Reproductive Biology (38 papers)CRISPR and Genetic Engineering (33 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Dabing Zhang
132 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Plant Science 5.3k
- Molecular Biology 4.9k
- Materials Chemistry 949
- Biomedical Engineering 845
- Genetics 584
Countries citing papers authored by Dabing Zhang
This map shows the geographic impact of Dabing Zhang'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 Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dabing Zhang more than expected).
Fields of papers citing papers by Dabing Zhang
This network shows the impact of papers produced by Dabing Zhang. 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 Zhang. The network helps show where Dabing Zhang may publish in the future.
Co-authorship network of co-authors of Dabing Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Dabing Zhang. A scholar is included among the top collaborators of Dabing Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dabing Zhang. Dabing Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 51 | |
| 3 | 14 | |
| 4 | 75 | |
| 5 | Plant roots sense soil compaction through restricted ethylene diffusionbreakdown → | 194 |
| 6 | 61 | |
| 7 | 8 | |
| 8 | Implementation and Promotion of Quality Control Circle: A Starter for Quality Improvement in Chinese Hospitals | 0 |
| 9 | 32 | |
| 10 | 82 | |
| 11 | 25 | |
| 12 | 50 | |
| 13 | 109 | |
| 14 | 2 | |
| 15 | 189 | |
| 16 | 215 | |
| 17 | Molecular Mechanisms of Pollen Development in Oryza sativa | 5 |
| 18 | 164 | |
| 19 | Pyrenoid ultrastructure and molecular localization of Rubisco and Rubisco activase in Enteromorpha clathrata | 2 |
| 20 | A Study on the Genetic Relationship of Peach Species Using RAPD Markers | 6 |
About Dabing Zhang
Dabing Zhang is a scholar working on Plant Science, Molecular Biology and Biochemistry, having authored 135 papers that have together received 8.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (44 papers), Plant Reproductive Biology (38 papers) and CRISPR and Genetic Engineering (33 papers). The work is most often cited by research in Plant Science (5.3k citations), Molecular Biology (4.9k citations) and Horticulture (29 citations). Dabing Zhang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Deok‐Chun Yang, Wanqi Liang, Yu‐Jin Kim, Priyanka Singh, Jianxin Shi, Litao Yang, Zheng Yuan, Jie Zong, Lukas Schreiber and Zoe A. Wilson. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.