Shan Miao

67 total papers · 1.2k total citations
47 papers, 1.0k citations indexed

About

Shan Miao is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Shan Miao has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Pharmacology and 7 papers in Complementary and alternative medicine. Recurrent topics in Shan Miao's work include Traditional Chinese Medicine Analysis (7 papers), Tryptophan and brain disorders (4 papers) and Pharmacological Effects of Natural Compounds (4 papers). Shan Miao is often cited by papers focused on Traditional Chinese Medicine Analysis (7 papers), Tryptophan and brain disorders (4 papers) and Pharmacological Effects of Natural Compounds (4 papers). Shan Miao collaborates with scholars based in China, United States and Croatia. Shan Miao's co-authors include Siwang Wang, Yanhua Xie, Qing Miao, Jianbo Wang, Linlin Bi, Qian Yang, Xuanxuan Zhou, Jiyuan Sun, Wei Cao and Xiaopeng Shi and has published in prestigious journals such as The Journal of Experimental Medicine, Nature Immunology and PLoS ONE.

In The Last Decade

Shan Miao

44 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Shan Miao 516 169 154 107 106 47 1.0k
Lipeng Xu 501 1.0× 271 1.6× 135 0.9× 135 1.3× 69 0.7× 56 1.2k
Bo Wei 528 1.0× 162 1.0× 112 0.7× 76 0.7× 150 1.4× 58 1.0k
Jiyuan Sun 446 0.9× 173 1.0× 157 1.0× 110 1.0× 90 0.8× 23 980
Zhifu Yang 499 1.0× 231 1.4× 89 0.6× 119 1.1× 81 0.8× 55 1.2k
Nasrin Maleki‐Dizaji 437 0.8× 130 0.8× 111 0.7× 86 0.8× 104 1.0× 45 1.1k
Tianyi Yuan 526 1.0× 165 1.0× 103 0.7× 155 1.4× 103 1.0× 56 1.2k
Yiwei Li 454 0.9× 79 0.5× 127 0.8× 71 0.7× 139 1.3× 35 1.1k
Jichun Han 487 0.9× 154 0.9× 149 1.0× 199 1.9× 90 0.8× 40 999
Ying Yin 494 1.0× 230 1.4× 87 0.6× 83 0.8× 66 0.6× 45 1.1k
Amira M. Abo‐Youssef 321 0.6× 96 0.6× 189 1.2× 156 1.5× 60 0.6× 70 1.2k

Countries citing papers authored by Shan Miao

Since Specialization
Citations

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

Fields of papers citing papers by Shan Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Miao

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