Ruen Liu

112 total papers · 1.0k total citations
66 papers, 711 citations indexed

About

Ruen Liu is a scholar working on Neurology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Ruen Liu has authored 66 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Neurology, 15 papers in Molecular Biology and 15 papers in Pathology and Forensic Medicine. Recurrent topics in Ruen Liu's work include Trigeminal Neuralgia and Treatments (13 papers), Facial Nerve Paralysis Treatment and Research (10 papers) and Neurological disorders and treatments (10 papers). Ruen Liu is often cited by papers focused on Trigeminal Neuralgia and Treatments (13 papers), Facial Nerve Paralysis Treatment and Research (10 papers) and Neurological disorders and treatments (10 papers). Ruen Liu collaborates with scholars based in China, United States and Finland. Ruen Liu's co-authors include Xiaobing Jiang, Xiaoling Lü, Jiayu Liu, Fan Fan, Richard J. Roman, Dongliang Wang, Hu Ding, Fangcheng Zhang, Olivia K. Travis and Shashank Shekhar and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Ruen Liu

60 papers receiving 698 citations

Author Peers

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

Author						Papers	Cites
Ruen Liu	247	158	121	99	92	66	711
Shougang Guo	264 1.1×	162 1.0×	89 0.7×	54 0.5×	57 0.6×	56	692
Kazuhide Furuya	254 1.0×	221 1.4×	136 1.1×	205 2.1×	108 1.2×	27	842
Yan Zhan	178 0.7×	224 1.4×	83 0.7×	137 1.4×	80 0.9×	34	706
Richard A. Hickman	176 0.7×	231 1.5×	80 0.7×	106 1.1×	82 0.9×	32	846
Michał Rynkowski	384 1.6×	233 1.5×	63 0.5×	134 1.4×	75 0.8×	34	807
Tetsuya Takayanagi	242 1.0×	187 1.2×	83 0.7×	205 2.1×	239 2.6×	47	768
Beverly Bealmear	319 1.3×	155 1.0×	145 1.2×	153 1.5×	225 2.4×	27	762
Peng Wang	100 0.4×	224 1.4×	64 0.5×	139 1.4×	89 1.0×	62	760
Ebrima Gibbs	282 1.1×	253 1.6×	90 0.7×	111 1.1×	40 0.4×	30	621
Jinning Song	168 0.7×	315 2.0×	51 0.4×	143 1.4×	94 1.0×	44	800

Countries citing papers authored by Ruen Liu

Since Specialization

Citations

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

Fields of papers citing papers by Ruen Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruen Liu

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