Su Gao

2.9k total citations
61 papers, 2.1k citations indexed

About

Su Gao is a scholar working on Molecular Biology, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, Su Gao has authored 61 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 20 papers in Physiology and 11 papers in Endocrine and Autonomic Systems. Recurrent topics in Su Gao's work include Adipose Tissue and Metabolism (14 papers), Mitochondrial Function and Pathology (9 papers) and Regulation of Appetite and Obesity (9 papers). Su Gao is often cited by papers focused on Adipose Tissue and Metabolism (14 papers), Mitochondrial Function and Pathology (9 papers) and Regulation of Appetite and Obesity (9 papers). Su Gao collaborates with scholars based in China, United States and Canada. Su Gao's co-authors include Gary D. Lopaschuk, Andrew A. Butler, Timothy H. Moran, M. Daniel Lane, Qingzhang Zhu, Matthew W. Hulver, Ryan P. McMillan, Núria Casals, Jill R. Murrell and Hugh C. Hendrie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Su Gao

59 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su Gao China 24 1.0k 841 431 261 213 61 2.1k
Gregory J. Tranah United States 33 522 0.5× 792 0.9× 442 1.0× 162 0.6× 146 0.7× 71 2.5k
Alyson A. Miller Australia 33 1.1k 1.1× 643 0.8× 311 0.7× 233 0.9× 369 1.7× 53 3.3k
Carmen C. Pazos‐Moura Brazil 31 646 0.6× 501 0.6× 448 1.0× 256 1.0× 286 1.3× 98 2.5k
Yongjie Yang United States 28 617 0.6× 922 1.1× 367 0.9× 233 0.9× 372 1.7× 60 2.4k
Elizabeth M. Rhea United States 22 714 0.7× 579 0.7× 298 0.7× 173 0.7× 159 0.7× 49 2.2k
Erika Koltai Hungary 27 1.7k 1.7× 968 1.2× 117 0.3× 162 0.6× 291 1.4× 42 3.3k
Kristi D. Silver United States 23 1.5k 1.5× 1.2k 1.4× 425 1.0× 169 0.6× 308 1.4× 52 3.2k
Antonello E. Rigamonti Italy 24 691 0.7× 379 0.5× 530 1.2× 286 1.1× 132 0.6× 112 2.0k
Cristoforo Silvestri Canada 29 725 0.7× 1.2k 1.5× 257 0.6× 225 0.9× 200 0.9× 68 3.0k
Robert Dent Canada 24 1.1k 1.1× 828 1.0× 204 0.5× 150 0.6× 224 1.1× 63 2.1k

Countries citing papers authored by Su Gao

Since Specialization
Citations

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

Fields of papers citing papers by Su Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Su Gao. A scholar is included among the top collaborators of Su Gao 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 Su Gao. Su Gao 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.
Su, Jie, et al.. (2023). Polymethoxyflavones in citrus extract has a beneficial effect on hypercholesterolemia rats by promoting liver cholesterol metabolism. Journal of Ethnopharmacology. 322. 117644–117644. 4 indexed citations
3.
Gao, Su, Aoshuang Xu, Liping Zuo, et al.. (2023). MALAT1 regulates network of microRNA-15a/16–VEGFA to promote tumorigenesis and angiogenesis in multiple myeloma. Carcinogenesis. 44(10-11). 760–772. 9 indexed citations
4.
Shah, Riddhi, et al.. (2023). Statins Restore Endothelial Protection against Complement Activity in Obstructive Sleep Apnea: A Randomized Clinical Trial. Annals of the American Thoracic Society. 20(7). 1029–1037. 15 indexed citations
5.
Shah, Riddhi, Memet Emin, Su Gao, et al.. (2023). Mild sleep restriction increases endothelial oxidative stress in female persons. Scientific Reports. 13(1). 15360–15360. 25 indexed citations
6.
Gao, Su, Simin Chen, Jingjing Yu, et al.. (2023). Traditional Chinese Medicine formula Wubi Shanyao Pills protects against reproductive aging by activating SIRT1/3 to reduce apoptosis. Journal of Ethnopharmacology. 318(Pt B). 116976–116976. 5 indexed citations
7.
Wang, Qi, Su Gao, Zhihao Wei, et al.. (2023). AIM2 promotes renal cell carcinoma progression and sunitinib resistance through FOXO3a-ACSL4 axis-regulated ferroptosis. International Journal of Biological Sciences. 19(4). 1266–1283. 43 indexed citations
8.
Gottlieb, Daniel J., David J. Lederer, John S. Kim, et al.. (2022). Effect of positive airway pressure therapy of obstructive sleep apnea on circulating Angiopoietin-2. Sleep Medicine. 96. 119–121. 18 indexed citations
9.
Xu, Aoshuang, Jiasi Zhang, Liping Zuo, et al.. (2021). FTO promotes multiple myeloma progression by posttranscriptional activation of HSF1 in an m6A-YTHDF2-dependent manner. Molecular Therapy. 30(3). 1104–1118. 50 indexed citations
10.
Gao, Su, Hailong Ruan, Jingchong Liu, et al.. (2021). A Novel Ferroptosis-Related Pathway for Regulating Immune Checkpoints in Clear Cell Renal Cell Carcinoma. Frontiers in Oncology. 11. 678694–678694. 7 indexed citations
11.
Banerjee, Subhashis, S. P. Ghoshal, Joseph R. Stevens, et al.. (2020). Hepatocyte expression of the micropeptide adropin regulates the liver fasting response and is enhanced by caloric restriction. Journal of Biological Chemistry. 295(40). 13753–13768. 25 indexed citations
12.
Gao, Su, S. P. Ghoshal, Liyan Zhang, et al.. (2019). The peptide hormone adropin regulates signal transduction pathways controlling hepatic glucose metabolism in a mouse model of diet-induced obesity. Journal of Biological Chemistry. 294(36). 13366–13377. 58 indexed citations
13.
Wang, Xiaoping, Pengfei Wang, Su Gao, et al.. (2019). Investigating the effects and possible mechanisms of danshen- honghua herb pair on acute myocardial ischemia induced by isoproterenol in rats. Biomedicine & Pharmacotherapy. 118. 109268–109268. 35 indexed citations
14.
15.
Hendrie, Hugh C., Ann Marie Hake, Kathleen A. Lane, et al.. (2015). Statin Use, Incident Dementia and Alzheimer Disease in Elderly African Americans. PMC. 5 indexed citations
16.
Gao, Su, Zheng Li, Jianhong Fu, et al.. (2015). Decitabine in the Treatment of Acute Myeloid Leukemia and Myelodysplastic Syndromes, Which Combined with Complex Karyotype Respectively. Asian Pacific Journal of Cancer Prevention. 16(15). 6627–6632. 9 indexed citations
17.
Gao, Su, Yu Yang, Zhiyuan Ma, et al.. (2015). NMDAR-Mediated Hippocampal Neuronal Death is Exacerbated by Activities of ASIC1a. Neurotoxicity Research. 28(2). 122–137. 17 indexed citations
18.
Gao, Su, Ryan P. McMillan, Qingzhang Zhu, et al.. (2015). Therapeutic effects of adropin on glucose tolerance and substrate utilization in diet-induced obese mice with insulin resistance. Molecular Metabolism. 4(4). 310–324. 144 indexed citations
19.
Gao, Su, Timothy H. Moran, Gary D. Lopaschuk, & Andrew A. Butler. (2013). Hypothalamic malonyl-CoA and the control of food intake. Physiology & Behavior. 122. 17–24. 46 indexed citations
20.
Moran, Timothy H. & Su Gao. (2006). Looking for food in all the right places?. Cell Metabolism. 3(4). 233–234. 18 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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