Shihuan Tang

108 total papers · 1.9k total citations
80 papers, 1.4k citations indexed

About

Shihuan Tang is a scholar working on Complementary and alternative medicine, Molecular Biology and Pharmacology. According to data from OpenAlex, Shihuan Tang has authored 80 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Complementary and alternative medicine, 27 papers in Molecular Biology and 22 papers in Pharmacology. Recurrent topics in Shihuan Tang's work include Traditional Chinese Medicine Analysis (31 papers), Traditional Chinese Medicine Studies (27 papers) and Pharmacological Effects of Natural Compounds (14 papers). Shihuan Tang is often cited by papers focused on Traditional Chinese Medicine Analysis (31 papers), Traditional Chinese Medicine Studies (27 papers) and Pharmacological Effects of Natural Compounds (14 papers). Shihuan Tang collaborates with scholars based in China, Macao and Slovenia. Shihuan Tang's co-authors include Hongjun Yang, Haiyu Xu, Luqi Huang, Yanqiong Zhang, Zhiyong Li, Zhenming Liu, Rongrong Zhou, Xiaobo Zhang, Wei Zhang and Xiu‐Jie Wang and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shihuan Tang

74 papers receiving 1.4k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Shihuan Tang 733 471 454 240 195 80 1.4k
Xinkui Liu 808 1.1× 262 0.6× 311 0.7× 220 0.9× 181 0.9× 71 1.5k
Zhiyong Li 623 0.8× 244 0.5× 308 0.7× 142 0.6× 144 0.7× 47 1.4k
Hua Yu 903 1.2× 253 0.5× 438 1.0× 430 1.8× 197 1.0× 29 1.6k
Hua‐Wu Zeng 916 1.2× 277 0.6× 286 0.6× 109 0.5× 323 1.7× 56 1.6k
Yingxue Fu 589 0.8× 184 0.4× 227 0.5× 299 1.2× 155 0.8× 47 1.1k
Shuzhen Guo 861 1.2× 397 0.8× 249 0.5× 77 0.3× 179 0.9× 105 1.8k
Yan Liang 921 1.3× 362 0.8× 511 1.1× 67 0.3× 293 1.5× 85 1.6k
Xue Xiao 460 0.6× 187 0.4× 244 0.5× 109 0.5× 153 0.8× 66 1.2k
Ziru Dai 817 1.1× 137 0.3× 343 0.8× 111 0.5× 236 1.2× 45 1.7k
Pengqian Wang 392 0.5× 485 1.0× 214 0.5× 73 0.3× 160 0.8× 70 1.2k

Countries citing papers authored by Shihuan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shihuan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shihuan Tang

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