Liangbiao Chen

4.9k citations
164 papers · 3.4k indexed · h-index 28

Impact in

    • Aquaculture Nutrition and Growth
  • Ecology top 2%
    • Physiological and biochemical adaptations

Papers in

Liangbiao Chen

152 papers receiving 3.3k citations

Peers

Liangbiao Chen
Comparison fields: 5 of 160
  • Aquatic Science 386
  • Ecology 956
  • Aging 48
  • Immunology 430
  • Molecular Biology 1.4k
Replace Petra H. Lenz with:
Petra H. Lenz United States
Ting‐Fung Chan Hong Kong
Ning Li China
Akira Kato Japan
Baozhong Liu China
Jun Adachi Japan
Jane Rogers United Kingdom
Federico Abascal Spain
Peter Aleström Norway
Xiaojun Zhang China
Liangbiao Chen relative to Petra H. Lenz United States Petra H. Lenz's profile →
Citations per field
00.5×1.5×2.1×
Petra H. Lenz · 1×
Citations per year

Countries citing papers authored by Liangbiao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Liangbiao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20251
4 20241
5 20242
6 20247
7 20247
8 20241
9 20242
10 202310
11 20234
12 202312
13 20221
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15 202114
16
Identification of seven-gene signature for prediction of lung squamous cell carcinoma
20194
17 201822
18 201454
19 2008207
20
Identification and visualization of virus-like particles in peripheral blood mononuclear cells (PBMCs) of patients with chronic hepatitis C.
20001

About Liangbiao Chen

Liangbiao Chen is a scholar working on Aquatic Science, Ecology, Physiology, Cancer Research and Immunology, having authored 164 papers that have together received 3.4k indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (41 papers), Aquaculture disease management and microbiota (21 papers), Aquaculture Nutrition and Growth (15 papers), MicroRNA in disease regulation (15 papers), Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (12 papers), Electronic Packaging and Soldering Technologies (12 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Aquatic Science (386 citations), Ecology (956 citations), Aging (48 citations), Immunology (430 citations) and Molecular Biology (1.4k citations). Liangbiao Chen has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Chi-Hing C. Cheng, Arthur L. DeVries, Qianghua Xu, Peng Hu, Xuefeng B. Ling, Sihua Peng, Cheng Deng, Xuejun Fan, C.‐H. Christina Cheng and Zuozhou Chen. Their work appears in journals such as Fish & Shellfish Immunology, Journal of genetics and genomics, Aquaculture, Biochemical and Biophysical Research Communications and Proceedings of the National Academy of Sciences.

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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