Mailan Liu

82 total papers · 1.3k total citations
55 papers, 868 citations indexed

About

Mailan Liu is a scholar working on Complementary and alternative medicine, Psychiatry and Mental health and Gastroenterology. According to data from OpenAlex, Mailan Liu has authored 55 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Complementary and alternative medicine, 10 papers in Psychiatry and Mental health and 8 papers in Gastroenterology. Recurrent topics in Mailan Liu's work include Acupuncture Treatment Research Studies (31 papers), Traditional Chinese Medicine Studies (12 papers) and Gastrointestinal motility and disorders (8 papers). Mailan Liu is often cited by papers focused on Acupuncture Treatment Research Studies (31 papers), Traditional Chinese Medicine Studies (12 papers) and Gastrointestinal motility and disorders (8 papers). Mailan Liu collaborates with scholars based in China, United States and Canada. Mailan Liu's co-authors include Lei Lan, Fanrong Liang, Fang Zeng, Ying Li, Yujie Gao, Jian Kong, Zhengjie Li, Yong Tang, Feng Wu and Taipin Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Mailan Liu

51 papers receiving 861 citations

Author Peers

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

Author						Papers	Cites
Mailan Liu	366	307	301	199	101	55	868
Xi Wu	677 1.8×	200 0.7×	152 0.5×	156 0.8×	115 1.1×	41	1.0k
Zhishun Wang	112 0.3×	169 0.6×	225 0.7×	113 0.6×	59 0.6×	53	863
Chunhui Bao	266 0.7×	66 0.2×	106 0.4×	216 1.1×	149 1.5×	51	895
Jin Cao	195 0.5×	211 0.7×	345 1.1×	37 0.2×	178 1.8×	42	874
Kenji Imai	289 0.8×	72 0.2×	69 0.2×	71 0.4×	114 1.1×	50	709
Xuguang Liu	177 0.5×	59 0.2×	132 0.4×	147 0.7×	56 0.6×	38	756
Zongshi Qin	326 0.9×	131 0.4×	106 0.4×	25 0.1×	89 0.9×	66	957
Steven J. Coen	64 0.2×	153 0.5×	429 1.4×	319 1.6×	301 3.0×	34	1.0k
Liang‐Wu Fu	345 0.9×	86 0.3×	139 0.5×	28 0.1×	232 2.3×	35	873
Haibo Yu	191 0.5×	119 0.4×	165 0.5×	16 0.1×	80 0.8×	68	816

Countries citing papers authored by Mailan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Mailan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mailan Liu

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