Shangyun Lu

22 total papers · 442 total citations
18 papers, 350 citations indexed

About

Shangyun Lu is a scholar working on Molecular Biology, Pharmacology and Epidemiology. According to data from OpenAlex, Shangyun Lu has authored 18 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Pharmacology and 3 papers in Epidemiology. Recurrent topics in Shangyun Lu's work include Pharmacological Effects of Natural Compounds (5 papers), Herbal Medicine Research Studies (2 papers) and Biochemical effects in animals (2 papers). Shangyun Lu is often cited by papers focused on Pharmacological Effects of Natural Compounds (5 papers), Herbal Medicine Research Studies (2 papers) and Biochemical effects in animals (2 papers). Shangyun Lu collaborates with scholars based in China, United States and Hong Kong. Shangyun Lu's co-authors include Tao Zuo, Changhu Xue, Shutao Yin, Hongbo Hu, Qingjuan Tang, Juan Wu, Mingzhu Yan, Lihong Fan, Chong Zhao and Hongjie Shi and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Bacteriology and British Journal of Pharmacology.

In The Last Decade

Shangyun Lu

18 papers receiving 348 citations

Author Peers

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

Author Last Decade Papers Cites
Shangyun Lu 171 71 65 53 42 18 350
Yeun‐Ja Mun 157 0.9× 49 0.7× 95 1.5× 44 0.8× 27 0.6× 31 350
Shen Zhuang 186 1.1× 61 0.9× 65 1.0× 27 0.5× 34 0.8× 21 401
Baocai Xie 163 1.0× 86 1.2× 34 0.5× 61 1.2× 27 0.6× 13 390
Rui Zhou 130 0.8× 92 1.3× 29 0.4× 34 0.6× 48 1.1× 22 374
Yiyu Liang 137 0.8× 66 0.9× 35 0.5× 75 1.4× 53 1.3× 13 328
You Yang 161 0.9× 49 0.7× 104 1.6× 29 0.5× 22 0.5× 15 391
Gnanasekaran Jothi 134 0.8× 75 1.1× 65 1.0× 26 0.5× 58 1.4× 13 370
Luigia De Fazio 118 0.7× 57 0.8× 38 0.6× 53 1.0× 73 1.7× 16 389
Xiongjie Sun 227 1.3× 33 0.5× 45 0.7× 28 0.5× 38 0.9× 18 360
Xiaodi Zhang 185 1.1× 74 1.0× 51 0.8× 23 0.4× 25 0.6× 18 398

Countries citing papers authored by Shangyun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shangyun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangyun Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Shangyun Lu. A scholar is included among the top collaborators of Shangyun Lu 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 Shangyun Lu. Shangyun Lu 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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