Yang Chu

42 total papers · 675 total citations
36 papers, 557 citations indexed

About

Yang Chu is a scholar working on Complementary and alternative medicine, Molecular Biology and Pharmacology. According to data from OpenAlex, Yang Chu has authored 36 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Complementary and alternative medicine, 22 papers in Molecular Biology and 15 papers in Pharmacology. Recurrent topics in Yang Chu's work include Traditional Chinese Medicine Analysis (20 papers), Ginseng Biological Effects and Applications (12 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Yang Chu is often cited by papers focused on Traditional Chinese Medicine Analysis (20 papers), Ginseng Biological Effects and Applications (12 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Yang Chu collaborates with scholars based in China. Yang Chu's co-authors include Xiaohui Ma, Shuiping Zhou, Xiangyang Wang, Shu‐Ming Li, Changxiao Liu, Yonghong Zhu, Wěi Li, Zhi‐Xin Guo, Ling Zhang and Kaijing Yan and has published in prestigious journals such as Journal of Ethnopharmacology, European Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Yang Chu

34 papers receiving 552 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yang Chu 294 198 163 81 79 36 557
Baoqin Lin 324 1.1× 124 0.6× 105 0.6× 122 1.5× 88 1.1× 32 678
Xin Liu 287 1.0× 149 0.8× 118 0.7× 166 2.0× 58 0.7× 35 628
Xiaoyao Ma 341 1.2× 91 0.5× 122 0.7× 66 0.8× 64 0.8× 42 606
Zhaoqing Meng 309 1.1× 112 0.6× 158 1.0× 146 1.8× 68 0.9× 67 668
Rong Pan 331 1.1× 153 0.8× 102 0.6× 101 1.2× 60 0.8× 33 666
E. Gabrielyan 359 1.2× 169 0.9× 191 1.2× 97 1.2× 92 1.2× 22 596
Jianxun Liu 498 1.7× 172 0.9× 139 0.9× 69 0.9× 85 1.1× 60 697
Yanqi Han 266 0.9× 213 1.1× 176 1.1× 116 1.4× 72 0.9× 28 589
Qiqi Xin 229 0.8× 125 0.6× 84 0.5× 46 0.6× 81 1.0× 36 590
Xue‐Rong Xiao 257 0.9× 167 0.8× 176 1.1× 63 0.8× 47 0.6× 33 598

Countries citing papers authored by Yang Chu

Since Specialization
Citations

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

Fields of papers citing papers by Yang Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Chu

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

All Works

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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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