Hongqing Li
- Plant Science top 1%
- Plant Molecular Biology Research 17
- Plant Stress Responses and Tolerance 7
- Plant Genetic and Mutation Studies 6
- Plant Parasitism and Resistance 4
- Molecular Biology top 10%
- Plant tissue culture and regeneration 9
- Plant Reproductive Biology 7
- Photosynthetic Processes and Mechanisms 5
- Plant Gene Expression Analysis 3
- Biotechnology top 5%
- Pollution top 10%
- Co-authors
- Meiru LiGuojiang WuQiupeng LinXiaoping PanXiaojing WangXiaoxia LiPeiyong XinJian‐You Liao
- 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
- Business and International Management 38
- Molecular Biology 956
- Biotechnology 95
- 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
The 25 scholars most cited alongside Hongqing Li, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 13 | |
| 6 | 2019 | 24 | |
| 7 | 2017 | 213 | |
| 8 | Knockout of OsNramp5 using the CRISPR/Cas9 system produces low Cd-accumulating indica rice without compromising yieldbreakdown → | 2017 | 360 |
| 9 | Reassessment of the Four Yield-related Genes Gn1a, DEP1, GS3, and IPA1 in Rice Using a CRISPR/Cas9 Systembreakdown → | 2016 | 331 |
| 10 | 2016 | 26 | |
| 11 | 2014 | 13 | |
| 12 | Overexpression of microRNA OsmiR397 improves rice yield by increasing grain size and promoting panicle branchingbreakdown → | 2013 | 349 |
| 13 | 2012 | 14 | |
| 14 | 2012 | 7 | |
| 15 | 2010 | 9 | |
| 16 | 2010 | 13 | |
| 17 | Systematic Relationships among Rehmannia(Scrophulariaceae) Species | 2007 | 6 |
| 18 | Distribution and Accumulation Trends of Catalpol in Resource Species of Rehmannia(Chinese) | 2006 | 2 |
| 19 | 2006 | 52 | |
| 20 | 2004 | 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), Plant Stress Responses and Tolerance (7 papers), Plant Reproductive Biology (7 papers), Plant Genetic and Mutation Studies (6 papers), Photosynthetic Processes and Mechanisms (5 papers), Plant Parasitism and Resistance (4 papers) and Plant Gene Expression Analysis (3 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.