Zhao Yang

1.9k total citations
34 papers, 874 citations indexed

About

Zhao Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Zhao Yang has authored 34 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Surgery. Recurrent topics in Zhao Yang's work include Receptor Mechanisms and Signaling (12 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Neuropeptides and Animal Physiology (4 papers). Zhao Yang is often cited by papers focused on Receptor Mechanisms and Signaling (12 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Neuropeptides and Animal Physiology (4 papers). Zhao Yang collaborates with scholars based in China, Canada and United States. Zhao Yang's co-authors include Michael T. Greenwood, Chamel Khoury, Jin‐Peng Sun, Xiao Yu, Junyan Wang, Shuhua Zhou, Duan Ni, Jian Zhang, Zong‐Tao Chai and Ashfaq Ur Rehman 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

Zhao Yang

31 papers receiving 865 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhao Yang China 19 613 152 105 94 85 34 874
Alma Seitova Canada 9 455 0.7× 64 0.4× 78 0.7× 54 0.6× 60 0.7× 19 660
Paul S. Carter United Kingdom 8 876 1.4× 119 0.8× 64 0.6× 80 0.9× 120 1.4× 10 1.2k
Weihai He United States 8 1.0k 1.7× 96 0.6× 80 0.8× 165 1.8× 48 0.6× 9 1.5k
Hriday K. Das United States 18 676 1.1× 94 0.6× 155 1.5× 207 2.2× 97 1.1× 46 1.2k
Jerry Di Salvo United States 16 514 0.8× 170 1.1× 155 1.5× 83 0.9× 106 1.2× 28 970
Juan Luo China 7 970 1.6× 143 0.9× 86 0.8× 84 0.9× 95 1.1× 10 1.4k
Jongmin Jacob Woo United States 17 465 0.8× 47 0.3× 77 0.7× 106 1.1× 55 0.6× 36 888
Levi L. Blazer United States 21 867 1.4× 126 0.8× 58 0.6× 45 0.5× 54 0.6× 38 1.1k
Remko Kuipers Netherlands 9 842 1.4× 32 0.2× 66 0.6× 64 0.7× 60 0.7× 10 1.2k
Rulin Zhang China 13 570 0.9× 235 1.5× 95 0.9× 114 1.2× 113 1.3× 27 1.2k

Countries citing papers authored by Zhao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhao Yang. A scholar is included among the top collaborators of Zhao Yang 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 Zhao Yang. Zhao Yang 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.
Yan, Lilong, et al.. (2025). Insight into the roles of endogenous signaling molecules on aerobic granular sludge in ammonium nitrogen removal. Journal of Water Process Engineering. 76. 108176–108176. 1 indexed citations
2.
Zhou, Shuhua, Zhao Yang, Kongkai Zhu, et al.. (2025). The force-sensing GPCR LPHN2 is indispensable for normal auditory function. Cell Reports. 44(11). 116519–116519.
3.
Lin, Xi, Bo Chen, Yiran Wu, et al.. (2023). Cryo-EM structures of orphan GPR21 signaling complexes. Nature Communications. 14(1). 216–216. 19 indexed citations
4.
Cheng, Jie, Zhao Yang, Xin Xu, et al.. (2022). Autonomous sensing of the insulin peptide by an olfactory G protein-coupled receptor modulates glucose metabolism. Cell Metabolism. 34(2). 240–255.e10. 39 indexed citations
5.
Yang, Zhao, et al.. (2022). Emerging roles of olfactory receptors in glucose metabolism. Trends in Cell Biology. 33(6). 463–476. 14 indexed citations
6.
Lu, Shaoyong, Xinheng He, Zhao Yang, et al.. (2021). Activation pathway of a G protein-coupled receptor uncovers conformational intermediates as targets for allosteric drug design. Nature Communications. 12(1). 4721–4721. 160 indexed citations
7.
Yang, Zhao, Xu Chen, Shuhua Zhou, et al.. (2021). Activation of PTH1R alleviates epididymitis and orchitis through Gq and β-arrestin-1 pathways. Proceedings of the National Academy of Sciences. 118(45). 18 indexed citations
8.
Lin, Jing‐Yu, Jie Cheng, Yaqin Du, et al.. (2020). In vitro expansion of pancreatic islet clusters facilitated by hormones and chemicals. Cell Discovery. 6(1). 20–20. 9 indexed citations
9.
Sun, Yujing, Daolai Zhang, Ming‐liang Ma, et al.. (2020). Optimization of a peptide ligand for the adhesion GPCR ADGRG2 provides a potent tool to explore receptor biology. Journal of Biological Chemistry. 296. 100174–100174. 19 indexed citations
10.
Li, Na, Zhao Yang, Qing Li, et al.. (2018). Ablation of somatostatin cells leads to impaired pancreatic islet function and neonatal death in rodents. Cell Death and Disease. 9(6). 682–682. 29 indexed citations
11.
Yang, Zhao, Fan Yang, Daolai Zhang, et al.. (2017). Phosphorylation of G Protein-Coupled Receptors: From the Barcode Hypothesis to the Flute Model. Molecular Pharmacology. 92(3). 201–210. 102 indexed citations
12.
Dyer, Kimberly D., Caroline M. Percopo, Zhihui Xie, et al.. (2010). Mouse and Human Eosinophils Degranulate in Response to Platelet-Activating Factor (PAF) and LysoPAF via a PAF-Receptor–Independent Mechanism: Evidence for a Novel Receptor. The Journal of Immunology. 184(11). 6327–6334. 68 indexed citations
13.
Khoury, Chamel, et al.. (2008). Transmembrane protein 85 from both human (TMEM85) and yeast (YGL231c) inhibit hydrogen peroxide mediated cell death in yeast. FEBS Letters. 582(17). 2637–2642. 15 indexed citations
14.
Yang, Zhao, et al.. (2007). Evidence for the Dimerization of Human Regulator of G-protein Signalling 5 (RGS5). Cellular Physiology and Biochemistry. 20(5). 303–310. 2 indexed citations
15.
Yang, Zhao, et al.. (2006). Regulatory mechanisms involved in modulating RGS function. Cellular and Molecular Life Sciences. 63(17). 1969–1985. 22 indexed citations
16.
Yang, Zhao, et al.. (2006). Identification of mouse sphingomyelin synthase 1 as a suppressor of Bax-mediated cell death in yeast. FEMS Yeast Research. 6(5). 751–762. 46 indexed citations
17.
18.
Yang, Zhao, et al.. (2005). Lysophosphatidic acid mediates pleiotropic responses in skeletal muscle cells. Biochemical and Biophysical Research Communications. 335(4). 1155–1162. 38 indexed citations
19.
Yang, Zhao, et al.. (2005). Peptide and non-peptide G-protein coupled receptors (GPCRs) in skeletal muscle. Peptides. 26(8). 1528–1536. 25 indexed citations
20.
Yang, Zhao, et al.. (2003). Gα protein dependent and independent effects of human RGS1 expression in yeast. Cellular Signalling. 16(1). 43–49. 24 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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