Wan Liao

36 total papers · 849 total citations
32 papers, 660 citations indexed

About

Wan Liao is a scholar working on Molecular Biology, Pharmacology and Molecular Medicine. According to data from OpenAlex, Wan Liao has authored 32 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Pharmacology and 10 papers in Molecular Medicine. Recurrent topics in Wan Liao's work include Curcumin's Biomedical Applications (10 papers), Pharmacological Effects of Natural Compounds (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Wan Liao is often cited by papers focused on Curcumin's Biomedical Applications (10 papers), Pharmacological Effects of Natural Compounds (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Wan Liao collaborates with scholars based in China, Thailand and United States. Wan Liao's co-authors include Chaomei Fu, Zongping Zhu, Tianhui Gao, Jiao Chen, Qingsong Yang, Li-Ting Lin, Tian Xie, Jinming Zhang, Yuxin He and Yao He and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Molecules and Journal of Ethnopharmacology.

In The Last Decade

Wan Liao

30 papers receiving 653 citations

Author Peers

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

Author Last Decade Papers Cites
Wan Liao 279 156 134 90 89 32 660
Jianming Ju 390 1.4× 106 0.7× 137 1.0× 91 1.0× 74 0.8× 37 725
Kuo‐Hsiung Lee 363 1.3× 108 0.7× 122 0.9× 80 0.9× 66 0.7× 18 650
Li Liao 312 1.1× 123 0.8× 110 0.8× 61 0.7× 107 1.2× 33 672
Laiba Arshad 199 0.7× 204 1.3× 157 1.2× 88 1.0× 61 0.7× 27 699
Emmanuel Omari‐Siaw 203 0.7× 143 0.9× 71 0.5× 76 0.8× 45 0.5× 24 696
Jia-Li Liang 325 1.2× 152 1.0× 139 1.0× 106 1.2× 93 1.0× 29 773
Mahin Ramezani 241 0.9× 74 0.5× 157 1.2× 104 1.2× 82 0.9× 34 645
Ratchanaporn Chokchaisiri 374 1.3× 146 0.9× 125 0.9× 38 0.4× 74 0.8× 45 682
Xionghao Lin 394 1.4× 166 1.1× 108 0.8× 35 0.4× 105 1.2× 38 743
Jen‐Jyh Lin 378 1.4× 69 0.4× 110 0.8× 70 0.8× 64 0.7× 28 782

Countries citing papers authored by Wan Liao

Since Specialization
Citations

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

Fields of papers citing papers by Wan Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wan Liao

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