Hongqing Li
- Plant Science top 1%
- Molecular Biology top 10%
- Genetics top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Pollution top 10%
- Co-authors
- Meiru LiGuojiang WuQiupeng LinXiaoping PanXiaojing WangXiaoxia LiPeiyong XinJian‐You Liao
- Topics
- Plant Molecular Biology Research (17 papers)Plant tissue culture and regeneration (9 papers)Plant Stress Responses and Tolerance (7 papers)
- Partner nations
- ChinaPeruUnited States
In The Last Decade
Hongqing Li
36 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Plant Science 1.5k
- Molecular Biology 956
- Genetics 211
- Ecology, Evolution, Behavior and Systematics 129
- Pollution 113
Countries citing papers authored by Hongqing Li
This map shows the geographic impact of Hongqing Li'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 Hongqing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongqing Li more than expected).
Fields of papers citing papers by Hongqing Li
This network shows the impact of papers produced by Hongqing Li. 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 Hongqing Li. The network helps show where Hongqing Li may publish in the future.
Co-authorship network of co-authors of Hongqing Li
This figure shows the co-authorship network connecting the top 25 collaborators of Hongqing Li. A scholar is included among the top collaborators of Hongqing Li 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 Hongqing Li. Hongqing Li 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 24 | |
| 7 | 213 | |
| 8 | Knockout of OsNramp5 using the CRISPR/Cas9 system produces low Cd-accumulating indica rice without compromising yieldbreakdown → | 360 |
| 9 | Reassessment of the Four Yield-related Genes Gn1a, DEP1, GS3, and IPA1 in Rice Using a CRISPR/Cas9 Systembreakdown → | 331 |
| 10 | 26 | |
| 11 | 13 | |
| 12 | Overexpression of microRNA OsmiR397 improves rice yield by increasing grain size and promoting panicle branchingbreakdown → | 349 |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 9 | |
| 16 | 13 | |
| 17 | Systematic Relationships among Rehmannia(Scrophulariaceae) Species | 6 |
| 18 | Distribution and Accumulation Trends of Catalpol in Resource Species of Rehmannia(Chinese) | 2 |
| 19 | 52 | |
| 20 | 11 |
About Hongqing Li
Hongqing Li is a scholar working on Plant Science, Molecular Biology and Biochemistry, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (17 papers), Plant tissue culture and regeneration (9 papers) and Plant Stress Responses and Tolerance (7 papers). The work is most often cited by research in Plant Science (1.5k citations), Business and International Management (38 citations) and Molecular Biology (956 citations). Hongqing Li has collaborated with scholars based in China, Peru and United States. Frequent co-authors include Meiru Li, Guojiang Wu, Qiupeng Lin, Xiaoping Pan, Xiaojing Wang, Xiaoxia Li, Xiaoping Pan, Peiyong Xin, Jian‐You Liao and Qing Liu. Their work appears in journals such as Nature Biotechnology, The Plant Cell and Scientific Reports.
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.