Q. Li
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant-Microbe Interactions and Immunity
- Plant Stress Responses and Tolerance
- Polysaccharides and Plant Cell Walls
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- Plant Gene Expression Analysis
- Plant tissue culture and regeneration
Papers in
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- Plant-Microbe Interactions and Immunity 4
- Plant Stress Responses and Tolerance 3
- Allelopathy and phytotoxic interactions 3
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- Plant Gene Expression Analysis 3
- Co-authors
- Vincent L. Chiang (2 shared papers)Ying‐Chung Jimmy Lin (1 shared paper)Wei Li (1 shared paper)Ronald R. Sederoff (1 shared paper)Sermsawat Tunlaya‐Anukit (1 shared paper)Ying‐Hsuan Sun (1 shared paper)Hairong Wei (1 shared paper)Sapna Kumari (1 shared paper)
- Journals
- Journal of Applied Microbiology (2 papers)Reproduction Fertility and Development (1 paper)Journal of Agricultural and Food Chemistry (1 paper)IEEE Sensors Journal (1 paper)Postharvest Biology and Technology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Q. Li
16 papers receiving 335 citations
Peers
Comparison fields: 5 of 60
- Plant Science 233
- Molecular Biology 172
- Biotechnology 22
- Agronomy and Crop Science 16
- Cell Biology 25
Countries citing papers authored by Q. Li
This map shows the geographic impact of Q. 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 Q. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Q. Li more than expected).
Fields of papers citing papers by Q. Li
This network shows the impact of papers produced by Q. 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 Q. Li. The network helps show where Q. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Q. 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 | 2013 | 110 | |
| 2 | 2011 | 55 | |
| 3 | 2013 | 53 | |
| 4 | 2018 | 36 | |
| 5 | 2019 | 27 | |
| 6 | 2009 | 23 | |
| 7 | 2018 | 15 | |
| 8 | 2025 | 5 | |
| 9 | 2011 | 5 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2013 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 |
About Q. Li
Q. Li is a scholar working on Plant Science, Molecular Biology, Electrical and Electronic Engineering, Organic Chemistry and Ecology, Evolution, Behavior and Systematics, having authored 17 papers that have together received 339 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (4 papers), Plant Gene Expression Analysis (3 papers), Plant Stress Responses and Tolerance (3 papers), Allelopathy and phytotoxic interactions (3 papers), Advanced Fiber Optic Sensors (2 papers), Soil and Water Nutrient Dynamics (1 paper), Plant Water Relations and Carbon Dynamics (1 paper) and Optical Systems and Laser Technology (1 paper). The work is most often cited by research in Plant Science (233 citations), Molecular Biology (172 citations), Biotechnology (22 citations), Agronomy and Crop Science (16 citations) and Cell Biology (25 citations). Q. Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Vincent L. Chiang, Ying‐Chung Jimmy Lin, Wei Li, Ronald R. Sederoff, Sermsawat Tunlaya‐Anukit, Ying‐Hsuan Sun, Hairong Wei, Sapna Kumari, Chao Ji and Xunli Liu. Their work appears in journals such as Journal of Applied Microbiology, Reproduction Fertility and Development, Journal of Agricultural and Food Chemistry, IEEE Sensors Journal and Postharvest Biology and Technology.
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.