Shanda Liu

463 citations
12 papers · 333 · h-index 10

Impact in

    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Plant nutrient uptake and metabolism
    • Plant Reproductive Biology
    • Plant Gene Expression Analysis
    • Photosynthetic Processes and Mechanisms
    • Plant biochemistry and biosynthesis
    • Plant tissue culture and regeneration

Papers in

    • Plant Molecular Biology Research 10
    • Plant nutrient uptake and metabolism 3
    • Plant Stress Responses and Tolerance 3
    • Light effects on plants 2
    • Plant Reproductive Biology 5
    • Plant Gene Expression Analysis 4

Shanda Liu

12 papers receiving 328 citations

Peers

Shanda Liu
Comparison fields: 5 of 47
  • Plant Science 281
  • Molecular Biology 221
  • Horticulture 2
  • Biophysics 11
  • Biochemistry 10
Replace Binqing Chen with:
Binqing Chen China
Manikandan Veerabagu Norway
Fenni Lv China
Michaela Kopischke Germany
Su-Hwan Kwak United States
Aline Herger Switzerland
Munan Lyu Finland
Agnieszka Kiełbowicz‐Matuk Poland
Duncan Coleman Japan
Michelle Gallei Austria
Shanda Liu relative to Binqing Chen China Binqing Chen's profile →
Citations per field
00.5×5.5×
Binqing Chen · 1×
Citations per year

Countries citing papers authored by Shanda Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Shanda Liu Line = papers co-authored together Shanda Liu links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201757
2 201548
3 201546
4 202237
5 201529
6 202024
7 201521
8 201320
9 202219
10 201619
11 20208
12 20195

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 333 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), Cell Image Analysis Techniques (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Plant Science (281 citations), Molecular Biology (221 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, Jin‐Gui Chen, Xiaoping Wang, Sha Luo, Qianqian Li, Xianling Wang, Xiyu Yang, Kaijie Zheng and Liu B. Their work appears in journals such as Frontiers in Plant Science, Current Biology, Plant Cell & Environment, Journal of Plant Interactions and The Plant Journal.

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.

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