Bin Liang

5.2k total citations · 1 hit paper
127 papers, 3.4k citations indexed

About

Bin Liang is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Bin Liang has authored 127 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 20 papers in Physiology and 18 papers in Cancer Research. Recurrent topics in Bin Liang's work include Adipose Tissue and Metabolism (16 papers), Lipid metabolism and biosynthesis (12 papers) and Genetics, Aging, and Longevity in Model Organisms (10 papers). Bin Liang is often cited by papers focused on Adipose Tissue and Metabolism (16 papers), Lipid metabolism and biosynthesis (12 papers) and Genetics, Aging, and Longevity in Model Organisms (10 papers). Bin Liang collaborates with scholars based in China, United States and France. Bin Liang's co-authors include Jennifer L. Watts, Xiaoju Zou, Linqiang Zhang, Daye Cheng, Yunhui Li, Shuangxi Wang, Benoı̂t Viollet, Ming‐Hui Zou, Yuru Zhang and Xiaoyun Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Bin Liang

117 papers receiving 3.4k citations

Hit Papers

CD36 facilitates fatty acid uptake by dynamic palmitoylat... 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. CD36 facilitates fatty acid uptake by dynamic palmitoylation-regulated endocytosis
    2020 292 citations Bin Liang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bin Liang China 31 1.6k 664 520 409 408 127 3.4k
Simon C. Johnson United States 23 2.0k 1.3× 847 1.3× 664 1.3× 229 0.6× 349 0.9× 42 3.5k
Alexander A. Soukas United States 22 1.9k 1.2× 1.2k 1.9× 863 1.7× 339 0.8× 794 1.9× 37 4.1k
Xun Huang China 39 3.2k 2.0× 674 1.0× 545 1.0× 396 1.0× 376 0.9× 129 5.2k
Magdalene K. Montgomery Australia 23 1.5k 1.0× 1.4k 2.1× 222 0.4× 214 0.5× 956 2.3× 56 3.5k
Kazuichi Sakamoto Japan 31 1.2k 0.8× 557 0.8× 325 0.6× 136 0.3× 290 0.7× 100 2.6k
Marı́a Monsalve Spain 33 2.7k 1.7× 1.3k 2.0× 157 0.3× 524 1.3× 745 1.8× 66 4.6k
Pénélope A. Andreux Switzerland 22 2.2k 1.4× 1.3k 2.0× 365 0.7× 242 0.6× 941 2.3× 27 4.8k
Evan G. Williams Switzerland 25 2.1k 1.3× 830 1.3× 400 0.8× 163 0.4× 549 1.3× 41 3.4k
Gph Leung Hong Kong 36 1.9k 1.2× 487 0.7× 155 0.3× 180 0.4× 155 0.4× 158 4.4k
Fernanda Amicarelli Italy 35 1.3k 0.8× 946 1.4× 207 0.4× 243 0.6× 195 0.5× 103 4.3k

Countries citing papers authored by Bin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Liang. A scholar is included among the top collaborators of Bin Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Liang. Bin Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liang, Bin, Xuhong Song, Hanwei Peng, et al.. (2025). ITGA3–MET interaction promotes papillary thyroid cancer progression via ERK and PI3K/AKT pathways. Annals of Medicine. 57(1). 2483379–2483379.
2.
You, Wenjie, Lili Su, Jing Li, et al.. (2025). SREBP-2 promotes cancer progression through the mevalonate-Akt pathway in non-small cell lung cancer. Scientific Reports. 15(1). 23103–23103.
3.
Cui, Jiwei, Bin Du, Yue Sun, et al.. (2025). A self-healing composite coating for CCUS: Synergistic anticorrosion and durability in harsh environments. Composites Communications. 58. 102519–102519.
4.
Li, Haoze, Luchao Pei, Yaran Liu, et al.. (2024). A novel UV-curable composite coating with superior anti-corrosion and mechanical properties. Progress in Organic Coatings. 196. 108758–108758. 10 indexed citations
5.
Yang, Mei‐Jie, Cong Zhou, Shi Pu, et al.. (2024). Deciphering the molecular toolkit: regulatory elements governing shell biomineralization in marine molluscs. Integrative Zoology. 20(3). 448–464.
6.
Zhang, Jingjing, Yanli Wang, Jing Liu, et al.. (2024). LET-767 determines lipid droplet protein targeting and lipid homeostasis. The Journal of Cell Biology. 223(6). 4 indexed citations
7.
Sun, Zhe, Bin Liang, Shengyao Liu, & Zhansheng Liu. (2024). Data and Knowledge-Driven Bridge Digital Twin Modeling for Smart Operation and Maintenance. Applied Sciences. 15(1). 231–231. 2 indexed citations
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10.
Song, Xuhong, et al.. (2023). PHLDA1 is a P53 target gene involved in P53-mediated cell apoptosis. Molecular and Cellular Biochemistry. 479(3). 653–664. 6 indexed citations
11.
Liu, Houde, et al.. (2023). Sampling-based time-optimal path parameterization with jerk constraints for robotic manipulation. Robotics and Autonomous Systems. 170. 104530–104530. 1 indexed citations
12.
Yan-hu, Liu, Lu Wang, Zhiguo Zhang, et al.. (2021). Whole-Genome Sequencing Reveals Lactase Persistence Adaptation in European Dogs. Molecular Biology and Evolution. 38(11). 4884–4890. 7 indexed citations
13.
Liang, Bin, Cuixing Zhou, Hao Lu, et al.. (2021). Upregulation of miR-18a-5p promotes the proliferation of prostate cancer via inhibiting the expression of SLC40A1. Pathology - Research and Practice. 224. 153448–153448. 17 indexed citations
14.
Zhang, Jingjing, Ying Hu, Yanli Wang, et al.. (2021). mmBCFA C17iso ensures endoplasmic reticulum integrity for lipid droplet growth. The Journal of Cell Biology. 220(11). 21 indexed citations
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16.
Gao, Feng, Bin Liang, Srinivasa T. Reddy, Robin Farias‐Eisner, & Xiulan Su. (2014). Role of Inflammation-Associated Microenvironment in Tumorigenesis and Metastasis. Current Cancer Drug Targets. 14(1). 30–45. 53 indexed citations
17.
Shi, Xun, Juan Li, Xiaoju Zou, et al.. (2013). Regulation of lipid droplet size and phospholipid composition by stearoyl-CoA desaturase. Journal of Lipid Research. 54(9). 2504–2514. 123 indexed citations
18.
Xu, Lin, Bin Liang, Longbao Lü, et al.. (2013). Tree shrews under the spot light: emerging model of human diseases. Zoological Research. 34(2). 59–59. 38 indexed citations
19.
Liang, Bin, et al.. (2010). Water-soluble polysaccharide from dried Lycium barbarum fruits: Isolation, structural features and antioxidant activity. Carbohydrate Polymers. 83(4). 1947–1951. 69 indexed citations
20.
Liang, Bin, et al.. (2009). The Influence of Bacterial Diet on Fat Storage in C. elegans. PLoS ONE. 4(10). e7545–e7545. 243 indexed citations

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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