Lusha Liu

516 citations
28 papers · 358 · h-index 12

Impact in

Papers in

    • Muscle Physiology and Disorders 3
    • Genomics and Phylogenetic Studies 3
    • CRISPR and Genetic Engineering 3
    • Protein Interaction Studies and Fluorescence Analysis 2
    • Physiological and biochemical adaptations 5

Lusha Liu

26 papers receiving 352 citations

Peers

Lusha Liu
Comparison fields: 5 of 82
  • Aquatic Science 42
  • Genetics 75
  • Biological Psychiatry 6
  • Pollution 29
  • Ecology 61
Replace Sylvia V.H. Grommen with:
Sylvia V.H. Grommen Belgium
Rute C. Félix Portugal
Tae-Ho Yoon South Korea
Zhangfan Chen China
Lulu Yan China
Yanjun Shen China
Sean Spagnoli United States
Saurabh S. Kulkarni United States
David Willemsen Germany
Roberto Valvassori Italy
Lusha Liu relative to Sylvia V.H. Grommen Belgium Sylvia V.H. Grommen's profile →
Citations per field
00.5×2.9×
Sylvia V.H. Grommen · 1×
Citations per year

Countries citing papers authored by Lusha Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lusha Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201243
2 201937
3 200735
4 202031
5 201330
6 201627
7 201623
8 201918
9 201618
10 201816
11 201915
12 201213
13 20189
14 20169
15
Comparative studies on muscle cellularity and flesh quality of two mandarin fish species, Siniperca chuatsi and Siniperca scherzeri
20136
16 20126
17 20214
18 20253
19 20253
20 20242

About Lusha Liu

Lusha Liu is a scholar working on Molecular Biology, Ecology, Genetics, Immunology and Global and Planetary Change, having authored 28 papers that have together received 358 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (6 papers), Aquaculture disease management and microbiota (6 papers), Physiological and biochemical adaptations (5 papers), Aquaculture Nutrition and Growth (3 papers), Muscle Physiology and Disorders (3 papers), Genomics and Phylogenetic Studies (3 papers), CRISPR and Genetic Engineering (3 papers) and Protein Interaction Studies and Fluorescence Analysis (2 papers). The work is most often cited by research in Aquatic Science (42 citations), Genetics (75 citations), Biological Psychiatry (6 citations), Pollution (29 citations) and Ecology (61 citations). Lusha Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jianping Jiang, Jingou Tong, Xiaomu Yu, Shouhong Wang, Lanying Zhao, Xungang Wang, Wei Zhu, Liming Chang, Stefanie Schulz and Susanne Lee. Their work appears in journals such as BMC Genomics, Frontiers in Endocrinology, Ecotoxicology and Environmental Safety, Animals and Frontiers in Bioscience-Landmark.

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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