Sha Liu

593 citations
21 papers · 408 indexed · h-index 9

Impact in

    • Plant Stress Responses and Tolerance
    • Plant Molecular Biology Research
    • Plant nutrient uptake and metabolism
    • Plant responses to elevated CO2
    • Plant Gene Expression Analysis
    • Photosynthetic Processes and Mechanisms
    • Plant Reproductive Biology

Papers in

Sha Liu

21 papers receiving 401 citations

Peers

Sha Liu
Comparison fields: 5 of 75
  • Plant Science 269
  • Molecular Biology 186
  • Global and Planetary Change 40
  • Renewable Energy, Sustainability and the Environment 30
  • Agronomy and Crop Science 16
Replace Kusum Khatri with:
Kusum Khatri India
Nancy Gupta India
Shujing Sun China
Sherzod Nematov Uzbekistan
Naoko Iwata Japan
John Andralojc United Kingdom
Soumi Bala Australia
Rutong Yang China
Qiuxia Chen China
Hou‐Guo Liang China
Sha Liu relative to Kusum Khatri India Kusum Khatri's profile →
Citations per field
00.5×
Kusum Khatri · 1×
Citations per year

Countries citing papers authored by Sha Liu

Since Specialization
Citations

This map shows the geographic impact of Sha 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 Sha Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Liu more than expected).

Fields of papers citing papers by Sha Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sha 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 Sha Liu. The network helps show where Sha Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Sha 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 Sha Liu Line = papers co-authored together Sha Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 202417
3 20242
4 202413
5 20242
6 202420
7 20246
8 20241
9 20238
10 20231
11 20224
12 20225
13 20224
14 202135
15 20196
16 20199
17 2015127
18 2014123
19
Estimation of Wind Farm Capacity Based on Wake Experiment
20102
20 201019

About Sha Liu

Sha Liu is a scholar working on Energy Engineering and Power Technology, Behavioral Neuroscience, Soil Science, Sensory Systems and Renewable Energy, Sustainability and the Environment, having authored 21 papers that have together received 408 indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (4 papers), Plant Molecular Biology Research (4 papers), Electrocatalysts for Energy Conversion (2 papers), Plant Water Relations and Carbon Dynamics (2 papers), Wind Energy Research and Development (2 papers), Neurobiology and Insect Physiology Research (2 papers), Biosensors and Analytical Detection (2 papers) and Plant Reproductive Biology (2 papers). The work is most often cited by research in Plant Science (269 citations), Molecular Biology (186 citations), Global and Planetary Change (40 citations), Renewable Energy, Sustainability and the Environment (30 citations) and Agronomy and Crop Science (16 citations). Sha Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xinli Xia, Weilun Yin, Congpeng Wang, Yan Dong, Anke Geng, Ying Zhao, Sha Tang, Xiao Han, Chao Liu and Jie Wang. Their work appears in journals such as Ships and Offshore Structures, Frontiers in Plant Science, International Journal of Molecular Sciences, Trends in Food Science & Technology and Prenatal Diagnosis.

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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