Shanda Liu
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Plant nutrient uptake and metabolism
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- Plant Reproductive Biology
- Plant Gene Expression Analysis
- Photosynthetic Processes and Mechanisms
- Plant tissue culture and regeneration
Papers in
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- Plant Molecular Biology Research 10
- Plant nutrient uptake and metabolism 3
- Plant Stress Responses and Tolerance 3
- Light effects on plants 2
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- Plant Reproductive Biology 5
- Plant Gene Expression Analysis 4
- Plant biochemistry and biosynthesis 1
- Co-authors
- Shucai Wang (8 shared papers)Hainan Tian (4 shared papers)Xiaoping Wang (2 shared papers)Jin‐Gui Chen (2 shared papers)Sha Luo (2 shared papers)Qianqian Li (2 shared papers)Xianling Wang (2 shared papers)Xiyu Yang (1 shared paper)
- Journals
- Frontiers in Plant Science (4 papers)Current Biology (2 papers)Plant Cell & Environment (1 paper)Development (1 paper)Journal of Plant Interactions (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Shanda Liu
12 papers receiving 341 citations
Peers
Comparison fields: 5 of 46
- Plant Science 274
- Molecular Biology 212
- Horticulture 2
- Biophysics 11
- Biochemistry 10
Countries citing papers authored by Shanda Liu
This map shows the geographic impact of Shanda 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 Shanda Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanda Liu more than expected).
Fields of papers citing papers by Shanda Liu
This network shows the impact of papers produced by Shanda 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 Shanda Liu. The network helps show where Shanda Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shanda Liu, 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 | 2017 | 57 | |
| 2 | 2015 | 48 | |
| 3 | 2015 | 47 | |
| 4 | 2022 | 42 | |
| 5 | 2015 | 31 | |
| 6 | 2020 | 25 | |
| 7 | 2015 | 21 | |
| 8 | 2013 | 20 | |
| 9 | 2022 | 20 | |
| 10 | 2016 | 19 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 5 |
About Shanda Liu
Shanda Liu is a scholar working on Plant Science, Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence and Biotechnology, having authored 12 papers that have together received 344 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (5 papers), Plant Gene Expression Analysis (4 papers), Plant nutrient uptake and metabolism (3 papers), Plant Stress Responses and Tolerance (3 papers), Light effects on plants (2 papers), Plant biochemistry and biosynthesis (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Plant Science (274 citations), Molecular Biology (212 citations), Horticulture (2 citations), Biophysics (11 citations) and Biochemistry (10 citations). Shanda Liu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Shucai Wang, Hainan Tian, Xiaoping Wang, Jin‐Gui Chen, Sha Luo, Qianqian Li, Xianling Wang, Xiyu Yang, Liu B and Kaijie Zheng. Their work appears in journals such as Frontiers in Plant Science, Current Biology, Plant Cell & Environment, Development and Journal of Plant Interactions.
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.