Gang Shu

5.1k total citations · 1 hit paper
155 papers, 3.5k citations indexed

About

Gang Shu is a scholar working on Molecular Biology, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Gang Shu has authored 155 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 56 papers in Physiology and 28 papers in Nutrition and Dietetics. Recurrent topics in Gang Shu's work include Adipose Tissue and Metabolism (45 papers), Regulation of Appetite and Obesity (24 papers) and Animal Nutrition and Physiology (17 papers). Gang Shu is often cited by papers focused on Adipose Tissue and Metabolism (45 papers), Regulation of Appetite and Obesity (24 papers) and Animal Nutrition and Physiology (17 papers). Gang Shu collaborates with scholars based in China, United States and India. Gang Shu's co-authors include Qingyan Jiang, Songbo Wang, Ping Gao, Xiaotong Zhu, Yongliang Zhang, Qianyun Xi, Lina Wang, Canjun Zhu, Hongyi Li and Xiao Cheng and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

Gang Shu

148 papers receiving 3.5k citations

Hit Papers

Therapeutic application of quercetin in aging-related dis... 2022 2026 2023 2024 2022 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. Therapeutic application of quercetin in aging-related diseases: SIRT1 as a potential mechanism
    2022 258 citations Gang Shu et al. profile →

Peers

Gang Shu
Qingyan Jiang China
Yongliang Zhang China
Bin Wang China
Xihong Zhou China
Xiaotong Zhu China
Yulan Dong China
Douglas G. Mashek United States
Ísis do Carmo Kettelhut Brazil
Atsuhiko Ichimura Japan
Fengna Li China
Qingyan Jiang China
Gang Shu
Citations per year, relative to Gang Shu Gang Shu (= 1×) peers Qingyan Jiang

Countries citing papers authored by Gang Shu

Since Specialization
Citations

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

Fields of papers citing papers by Gang Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Shu. A scholar is included among the top collaborators of Gang Shu 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 Gang Shu. Gang Shu 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.
2.
Liang, Shuyi, Yiming Fu, Junfeng Wang, et al.. (2024). Knockdown of the VEGFB/VEGFR1 signaling suppresses pubertal mammary gland development of mice via the inhibition of PI3K/Akt pathway. International Journal of Biological Macromolecules. 264(Pt 2). 130782–130782. 1 indexed citations
3.
Yuan, Yexian, Shaolei Xiong, Zilai Wang, et al.. (2024). Macrophage-derived chemokine CCL22 establishes local LN-mediated adaptive thermogenesis and energy expenditure. Science Advances. 10(26). eadn5229–eadn5229. 4 indexed citations
4.
Wang, Yue-Li, Dongbo Li, Xiaojuan Li, et al.. (2024). In-situ gel injection of poloxamer-based metamizole provides long-acting antipyretic effects. Drug Delivery and Translational Research. 15(3). 968–977. 3 indexed citations
5.
Wu, Ruifan, Yexian Yuan, Shaolei Xiong, et al.. (2023). Genetically prolonged beige fat in male mice confers long-lasting metabolic health. Nature Communications. 14(1). 2731–2731. 15 indexed citations
6.
Wu, Jiahan, Junyi Luo, Ting Chen, et al.. (2023). Skeletal Muscle-Derived Exosomal miR-146a-5p Inhibits Adipogenesis by Mediating Muscle-Fat Axis and Targeting GDF5-PPARγ Signaling. International Journal of Molecular Sciences. 24(5). 4561–4561. 19 indexed citations
7.
Li, Yongxiang, Zhonghua Sun, Gang Shu, et al.. (2022). Corticotropin-releasing factor receptor type 2 in the midbrain critically contributes to the hedonic feeding behavior of mice under heat stress. Biochemical and Biophysical Research Communications. 602. 77–83. 1 indexed citations
8.
Yuan, Yexian, Canjun Zhu, Yongliang Wang, et al.. (2022). α-Ketoglutaric acid ameliorates hyperglycemia in diabetes by inhibiting hepatic gluconeogenesis via serpina1e signaling. Science Advances. 8(18). eabn2879–eabn2879. 45 indexed citations
9.
Sun, Lijuan, Yongxiang Li, Ruixue Zhang, et al.. (2020). Dietary thymol supplementation promotes skeletal muscle fibre type switch in longissimus dorsi of finishing pigs. Journal of Animal Physiology and Animal Nutrition. 104(2). 570–578. 13 indexed citations
10.
Su, Han, Lijuan Sun, Yongxiang Li, et al.. (2019). Effects of maternal dietary supplementation of phytosterol esters during gestation on muscle development of offspring in mice. Biochemical and Biophysical Research Communications. 520(2). 479–485. 4 indexed citations
11.
Zhao, Shuai, Gang Shu, Qingyan Jiang, et al.. (2019). β-Glucanase specific expression in the intestine of transgenic pigs. Transgenic Research. 28(2). 237–246. 1 indexed citations
12.
Shu, Gang, Songbo Wang, Ping Gao, et al.. (2018). Lauric Acid Accelerates Glycolytic Muscle Fiber Formation through TLR4 Signaling. Journal of Agricultural and Food Chemistry. 66(25). 6308–6316. 24 indexed citations
13.
Zhu, Canjun, Pingwen Xu, Yanlin He, et al.. (2017). Heparin Increases Food Intake through AgRP Neurons. Cell Reports. 20(10). 2455–2467. 14 indexed citations
14.
Wu, Di, Qianyun Xi, Xiao Cheng, et al.. (2016). miR-146a-5p inhibits TNF-α-induced adipogenesis via targeting insulin receptor in primary porcine adipocytes. Journal of Lipid Research. 57(8). 1360–1372. 46 indexed citations
15.
Yan, Chunling, Yanlin He, Yuanzhong Xu, et al.. (2015). Apolipoprotein A-IV Inhibits AgRP/NPY Neurons and Activates Pro-Opiomelanocortin Neurons in the Arcuate Nucleus. Neuroendocrinology. 103(5). 476–488. 20 indexed citations
16.
Xi, Qianyun, Yuping Sun, Jinglan Wang, et al.. (2014). Intestine-specific expression of the β-glucanase in mice. BioOne Complete (BioOne). 1 indexed citations
17.
Shu, Gang, Xiaotong Zhu, Lina Wang, et al.. (2014). Isolation and characterization of porcine circumvallate papillae cells. Acta Histochemica. 116(8). 1313–1322. 7 indexed citations
18.
Li, Hongyi, Xiaohong Chen, Qien Qi, et al.. (2013). MiRNA-181a Regulates Adipogenesis by Targeting Tumor Necrosis Factor-α (TNF-α) in the Porcine Model. PLoS ONE. 8(10). e71568–e71568. 99 indexed citations
19.
Li, Li, et al.. (2009). Effect of hawthorn leaf flavonoids on lipid metabolism in yellow-feathered broilers.. ACTA AGRICULTURAE UNIVERSITATIS JIANGXIENSIS. 31(4). 610–615. 3 indexed citations
20.
Shu, Gang, Lihua Zhou, Xiaotong Zhu, et al.. (2009). Orexin-A Stimulates the Glucose Output of Porcine Hepatocytes. Journal of Agricultural Science and Technology. 3(8). 8–13. 2 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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