Dengcai Liu
- Plant Science top 0.5%
- Molecular Biology top 10%
- Genetics top 5%
- Agronomy and Crop Science top 2%
- Nutrition and Dietetics top 10%
- Topics
- Wheat and Barley Genetics and Pathology (151 papers)Plant Disease Resistance and Genetics (86 papers)Genetic Mapping and Diversity in Plants and Animals (48 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dengcai Liu
187 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Plant Science 2.5k
- Molecular Biology 704
- Genetics 673
- Agronomy and Crop Science 345
- Nutrition and Dietetics 86
Countries citing papers authored by Dengcai Liu
This map shows the geographic impact of Dengcai Liu'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 Dengcai Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dengcai Liu more than expected).
Fields of papers citing papers by Dengcai Liu
This network shows the impact of papers produced by Dengcai Liu. 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 Dengcai Liu. The network helps show where Dengcai Liu may publish in the future.
Co-authorship network of co-authors of Dengcai Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Dengcai Liu. A scholar is included among the top collaborators of Dengcai Liu 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 Dengcai Liu. Dengcai Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | CRISPR-GPT for agentic automation of gene-editing experimentsbreakdown → | 16 |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 47 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 243 | |
| 13 | 1 | |
| 14 | Transfer of stripe rust resistance from Aegilops variabilis to bread wheat | 4 |
| 15 | Utilization of preharvest sprouting tolerance gene of synthetic wheat RSP | 5 |
| 16 | Utilization of wheat landrace Chinese Spring in breeding | 8 |
| 17 | Combination of Homoeologous Pairing Gene phKL and Ph2-deficiency in Common Wheat and Its Meiotic Behaviors in Hybrids with Alien Species | 6 |
| 18 | Genetic Diversity of Gli-1，Gli-2 and Glu-1 Alleles Among Chinese Endemic Wheats | 12 |
| 19 | Genetic Diversity of Gli-1, Gli-2 and Glu-1 Alleles in Sichuan Wheat Landraces | 7 |
| 20 | Inheritance of Crossability of Triticum turgidum cv Jianyangailanmai with Rye and Its Expression in Hexaploid Wheat Background | 3 |
About Dengcai Liu
Dengcai Liu is a scholar working on Plant Science, Genetics and Agronomy and Crop Science, having authored 199 papers that have together received 2.8k indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (151 papers), Plant Disease Resistance and Genetics (86 papers) and Genetic Mapping and Diversity in Plants and Animals (48 papers). The work is most often cited by research in Plant Science (2.5k citations), Agronomy and Crop Science (345 citations) and Genetics (673 citations). Dengcai Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Youliang Zheng, Lianquan Zhang, Zehong Yan, Ming Hao, Yuming Wei, Aili Li, Xiujin Lan, Long Mao, Huaigang Zhang and Zhongwei Yuan. Their work appears in journals such as PLoS ONE, The Plant Cell and Journal of Agricultural and Food Chemistry.
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.