Yangli Zhou

661 total citations
9 papers, 135 citations indexed

About

Yangli Zhou is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yangli Zhou has authored 9 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yangli Zhou's work include Receptor Mechanisms and Signaling (3 papers), Cannabis and Cannabinoid Research (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Yangli Zhou is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Cannabis and Cannabinoid Research (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Yangli Zhou collaborates with scholars based in China, Netherlands and United States. Yangli Zhou's co-authors include Shengyong Yang, Xin Yang, Anjie Xia, Guifeng Lin, Jingming Liu, Yifei Wang, Zhenhua Shao, Chao Wu, Ming Wu and Zheng Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Journal of Medicinal Chemistry.

In The Last Decade

Yangli Zhou

9 papers receiving 134 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yangli Zhou China 6 90 48 42 17 15 9 135
Raymond Yurko United States 6 103 1.1× 30 0.6× 31 0.7× 10 0.6× 7 0.5× 7 139
Tracy Ann Perry United States 5 62 0.7× 25 0.5× 17 0.4× 33 1.9× 9 0.6× 6 182
Barbara Vogg Switzerland 4 70 0.8× 18 0.4× 37 0.9× 19 1.1× 5 0.3× 8 155
Karen Beltz Switzerland 7 78 0.9× 27 0.6× 63 1.5× 14 0.8× 7 0.5× 10 242
Tomohiro Onishi Japan 7 154 1.7× 43 0.9× 60 1.4× 66 3.9× 4 0.3× 12 267
Luca Biasetti United Kingdom 7 150 1.7× 65 1.4× 16 0.4× 3 0.2× 6 0.4× 13 265
Timothy R. Hodges United States 10 190 2.1× 82 1.7× 22 0.5× 93 5.5× 7 0.5× 12 278
Qingyi Wang China 8 163 1.8× 34 0.7× 7 0.2× 60 3.5× 8 0.5× 16 243
Hank Safferstein United States 5 95 1.1× 38 0.8× 58 1.4× 6 0.4× 13 0.9× 6 143
Saketh Chemuru United States 7 240 2.7× 30 0.6× 22 0.5× 13 0.8× 3 0.2× 9 353

Countries citing papers authored by Yangli Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yangli Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangli Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yangli Zhou. A scholar is included among the top collaborators of Yangli Zhou 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 Yangli Zhou. Yangli Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Wu, Chao, Guifeng Lin, Xin Yang, et al.. (2024). Structure-based identification of a G protein–biased allosteric modulator of cannabinoid receptor CB1. Proceedings of the National Academy of Sciences. 121(24). e2321532121–e2321532121. 13 indexed citations
2.
Zhou, Yangli, et al.. (2024). Structural perspectives on chemokine receptors. Biochemical Society Transactions. 52(3). 1011–1024. 1 indexed citations
3.
Liu, Jingming, Guifeng Lin, Shanshan Zhang, et al.. (2023). Discovery of 4-(1,2,4-Oxadiazol-5-yl)azepan-2-one Derivatives as a New Class of Cannabinoid Type 2 Receptor Agonists for the Treatment of Inflammatory Pain. Journal of Medicinal Chemistry. 66(5). 3460–3483. 6 indexed citations
4.
Yang, Xin, Xuehui Wang, Zheng Xu, et al.. (2022). Molecular mechanism of allosteric modulation for the cannabinoid receptor CB1. Nature Chemical Biology. 18(8). 831–840. 67 indexed citations
5.
Chen, Pei, Yan Jiao, Guifeng Lin, et al.. (2022). Discovery of 6,7-dihydro-5H-pyrrolo[3,4-d] pyrimidine derivatives as a new class of ATR inhibitors. Bioorganic & Medicinal Chemistry Letters. 63. 128651–128651. 8 indexed citations
6.
Yang, Xin, Guifeng Lin, Anjie Xia, et al.. (2022). Discovery of Small Molecule Agonist of Gonadotropin-Releasing Hormone Receptor (GnRH1R). Journal of Chemical Information and Modeling. 62(20). 5009–5022. 7 indexed citations
7.
Xiong, Liang, Xin Mao, Yangli Zhou, et al.. (2021). Discovery of selective BPTF bromodomain inhibitors by screening and structure-based optimization. Biochemical and Biophysical Research Communications. 545. 125–131. 5 indexed citations
9.
Zhou, Yangli, et al.. (2020). Discovery of BAZ1A bromodomain inhibitors with the aid of virtual screening and activity evaluation. Bioorganic & Medicinal Chemistry Letters. 33. 127745–127745. 3 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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