Liu‐Mei Shou

26 total papers · 519 total citations
20 papers, 413 citations indexed

About

Liu‐Mei Shou is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Liu‐Mei Shou has authored 20 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 7 papers in Cancer Research and 5 papers in Molecular Biology. Recurrent topics in Liu‐Mei Shou's work include Beetle Biology and Toxicology Studies (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers) and Chemotherapy-related skin toxicity (3 papers). Liu‐Mei Shou is often cited by papers focused on Beetle Biology and Toxicology Studies (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers) and Chemotherapy-related skin toxicity (3 papers). Liu‐Mei Shou collaborates with scholars based in China, United States and Taiwan. Liu‐Mei Shou's co-authors include Fei‐Ran Gong, Min Tao, Kai Chen, Mengyao Wu, Weiming Duan, Xin Xie, Mengdan Xu, Min Tao, Mengyao Wu and Qiaoming Zhi and has published in prestigious journals such as Oncotarget, Biomedicine & Pharmacotherapy and Cell Cycle.

In The Last Decade

Liu‐Mei Shou

19 papers receiving 411 citations

Author Peers

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

Author						Papers	Cites
Liu‐Mei Shou	180	140	133	66	45	20	413
Brittney S. Harrington	207 1.1×	86 0.6×	129 1.0×	55 0.8×	35 0.8×	19	385
Lixia Miao	234 1.3×	100 0.7×	108 0.8×	61 0.9×	38 0.8×	24	417
Haijing Fu	271 1.5×	160 1.1×	100 0.8×	48 0.7×	67 1.5×	24	477
Wei Xie	302 1.7×	118 0.8×	111 0.8×	58 0.9×	43 1.0×	16	445
Gang Li	315 1.8×	98 0.7×	139 1.0×	53 0.8×	44 1.0×	15	412
Yu‐Chun Weng	261 1.4×	126 0.9×	59 0.4×	51 0.8×	41 0.9×	22	416
Michael Behring	244 1.4×	146 1.0×	128 1.0×	42 0.6×	39 0.9×	27	429
Junying Sun	259 1.4×	127 0.9×	77 0.6×	39 0.6×	45 1.0×	19	419
Hongbing Ni	286 1.6×	185 1.3×	72 0.5×	81 1.2×	38 0.8×	20	462
Dan Li	263 1.5×	138 1.0×	114 0.9×	58 0.9×	48 1.1×	28	442

Countries citing papers authored by Liu‐Mei Shou

Since Specialization

Citations

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

Fields of papers citing papers by Liu‐Mei Shou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liu‐Mei Shou

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