Gao S

4.9k total citations · 1 hit paper
126 papers, 3.8k citations indexed

About

Gao S is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Gao S has authored 126 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 20 papers in Physiology and 17 papers in Epidemiology. Recurrent topics in Gao S's work include Bone Metabolism and Diseases (15 papers), Adipose Tissue and Metabolism (13 papers) and Adipokines, Inflammation, and Metabolic Diseases (10 papers). Gao S is often cited by papers focused on Bone Metabolism and Diseases (15 papers), Adipose Tissue and Metabolism (13 papers) and Adipokines, Inflammation, and Metabolic Diseases (10 papers). Gao S collaborates with scholars based in China, Canada and United States. Gao S's co-authors include Dongwei Zhang, Ruyuan Zhu, Min Fu, Jianzhao Niu, Rufeng Ma, Fangfang Mo, Ka Sing Wong, Beibei Chen, Dandan Zhao and Jun‐Li Liu and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Gao S

116 papers receiving 3.6k citations

Hit Papers

Historical Perspective of Traditional Indigenous Medical ... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gao S China 30 1.5k 694 562 487 462 126 3.8k
Junping Kou China 40 2.9k 2.0× 634 0.9× 651 1.2× 551 1.1× 271 0.6× 175 5.2k
Xu Han China 42 2.2k 1.5× 935 1.3× 230 0.4× 418 0.9× 349 0.8× 278 5.0k
Halis Süleyman Türkiye 37 1.4k 0.9× 256 0.4× 660 1.2× 849 1.7× 259 0.6× 305 5.7k
Joen‐Rong Sheu Taiwan 43 2.1k 1.4× 342 0.5× 846 1.5× 624 1.3× 276 0.6× 233 6.0k
Kai‐Li Liu China 39 1.9k 1.3× 331 0.5× 375 0.7× 257 0.5× 172 0.4× 196 4.6k
Yaw L. Siow Canada 41 1.6k 1.1× 563 0.8× 285 0.5× 269 0.6× 139 0.3× 116 4.7k
Siwang Wang China 37 1.8k 1.2× 340 0.5× 617 1.1× 579 1.2× 163 0.4× 169 4.2k
Ki Churl Chang South Korea 47 3.0k 2.1× 532 0.8× 513 0.9× 709 1.5× 257 0.6× 169 6.5k
Chang‐Gue Son South Korea 30 908 0.6× 505 0.7× 435 0.8× 587 1.2× 130 0.3× 195 2.9k
Seyithan Tayşi Türkiye 37 1.0k 0.7× 375 0.5× 608 1.1× 211 0.4× 245 0.5× 166 4.5k

Countries citing papers authored by Gao S

Since Specialization
Citations

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

Fields of papers citing papers by Gao S

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gao S

This figure shows the co-authorship network connecting the top 25 collaborators of Gao S. A scholar is included among the top collaborators of Gao S 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 Gao S. Gao S 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
2.
Zhang, Yatong, et al.. (2025). Drug tapering in animal research: current practices and challenges. Frontiers in Pharmacology. 16. 1544784–1544784.
3.
Xia, Bingke, Ruyuan Zhu, Hao Zhang, et al.. (2022). Lycopene Improves Bone Quality and Regulates AGE/RAGE/NF‐кB Signaling Pathway in High‐Fat Diet‐Induced Obese Mice. Oxidative Medicine and Cellular Longevity. 2022(1). 3697067–3697067. 22 indexed citations
4.
Tian, Tian, Ruyuan Zhu, Xin Fang, et al.. (2022). Loganin regulates glycolipid metabolism by influencing intestinal microbiota and AMPK signaling in obese mice. Journal of Traditional Chinese Medical Sciences. 9(3). 321–329. 4 indexed citations
5.
Zhao, Dandan, Na Yu, Ying Bai, et al.. (2021). Curcumin improves adipocytes browning and mitochondrial function in 3T3-L1 cells and obese rodent model. Royal Society Open Science. 8(3). 200974–200974. 27 indexed citations
6.
Mu, Qianqian, Jiacheng Zuo, Dandan Zhao, et al.. (2021). Ginsenoside rg3 reduces body weight by regulating fat content and browning in obese mice. Journal of Traditional Chinese Medical Sciences. 8(1). 65–71. 6 indexed citations
7.
Bai, Ying, Jiacheng Zuo, Xin Fang, et al.. (2021). Protective Effect of Jiang Tang Xiao Ke Granules against Skeletal Muscle IR via Activation of the AMPK/SIRT1/PGC‐1α Signaling Pathway. Oxidative Medicine and Cellular Longevity. 2021(1). 5566053–5566053. 10 indexed citations
8.
Liu, Haixia, Yubo Guo, Ruyuan Zhu, et al.. (2020). Fructus Ligustri Lucidi preserves bone quality through induction of canonical Wnt/β‐catenin signaling pathway in ovariectomized rats. Phytotherapy Research. 35(1). 424–441. 14 indexed citations
9.
S, Gao, et al.. (2019). Enhanced transdermal delivery of lornoxicam by nanostructured lipid carrier gels modified with polyarginine peptide for treatment of carrageenan-induced rat paw edema. SHILAP Revista de lepidopterología. 3 indexed citations
10.
Yao, Shi, et al.. (2019). LncRNA CASC15 Functions As An Unfavorable Predictor Of Ovarian Cancer Prognosis And Inhibits Tumor Progression Through Regulation Of miR-221/ARID1A Axis. SHILAP Revista de lepidopterología. 1 indexed citations
11.
S, Gao, et al.. (2018). Prognostic value of microRNAs in colorectal cancer: a meta-analysis. SHILAP Revista de lepidopterología. 2 indexed citations
12.
Liu, Haixia, Ruyuan Zhu, Chenyue Liu, et al.. (2017). Evaluation of Decalcification Techniques for Rat Femurs Using HE and Immunohistochemical Staining. BioMed Research International. 2017. 1–6. 110 indexed citations
13.
Song, Xiaojun, et al.. (2015). Chitosan/siRNA functionalized titanium surface via a layer-by-layer approach for in vitro sustained gene silencing and osteogenic promotion. SHILAP Revista de lepidopterología. 4 indexed citations
14.
Chen, Yao, et al.. (2015). Reducible chimeric polypeptide consisting of octa-d-arginine and tetra-l-histidine peptides as an efficient gene delivery vector. Dove Medical Press (Taylor and Francis Group). 1 indexed citations
15.
S, Gao. (2014). STUDY OF DEFORMATION AND ENERGY PROPERTIES OF MARBLE UNLOADING FAILURE. Chinese journal of rock mechanics and engineering. 3 indexed citations
16.
S, Gao. (2012). Modern Research Progress of The Lung And The Large Intestine Being Interior-Exteriorly Related Theory in TCM. Zhonghua zhongyiyao xuekan. 2 indexed citations
17.
S, Gao. (2011). Discussion on the lung and the large intestine being interior-exteriorly based on the related theory with yin-yang theory. Zhonghua zhongyiyao zazhi. 2 indexed citations
18.
S, Gao, et al.. (2009). Clinical study on treatment of type 2 diabetes from aspects of liver,spleen and kidney. Zhonghua zhongyiyao zazhi. 24(8). 1007–1010. 3 indexed citations
19.
S, Gao. (2002). A PROPERTY OF SOLUTIONS AND THE COMPLEX OSCILLATION FOR A CLASS OF HIGHER ORDER PERIODIC LINEAR DIFFERENTIAL EQUATIONS. Acta Mathematicae Applicatae Sinica English Series. 5 indexed citations
20.
S, Gao. (1986). ON THE NUMBER OF MEROMORPHIC SOLUTIONS OF ONE CLASS OF ORDINARY DIFFERENTIAL EQUATIONS. 科学通报(英文版). 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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