Gaoyu Cui

28 total papers · 879 total citations
19 papers, 484 citations indexed

About

Gaoyu Cui is a scholar working on Neurology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Gaoyu Cui has authored 19 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 5 papers in Pathology and Forensic Medicine and 3 papers in Molecular Biology. Recurrent topics in Gaoyu Cui's work include Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Spinal Cord Injury Research (3 papers) and Intracerebral and Subarachnoid Hemorrhage Research (2 papers). Gaoyu Cui is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Spinal Cord Injury Research (3 papers) and Intracerebral and Subarachnoid Hemorrhage Research (2 papers). Gaoyu Cui collaborates with scholars based in China and United States. Gaoyu Cui's co-authors include Hua Feng, Rong Hu, Nan Wu, Jiangkai Lin, Hongfei Ge, Hui Meng, S. Jack Hu, Jiantao Shi, Yujie Chen and Hengli Zhao and has published in prestigious journals such as Scientific Reports, Pain and Critical Care Medicine.

In The Last Decade

Gaoyu Cui

19 papers receiving 479 citations

Author Peers

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

Author						Papers	Cites
Gaoyu Cui	159	112	89	79	72	19	484
Masayuki Miyazono	166 1.0×	179 1.6×	101 1.1×	114 1.4×	54 0.8×	20	447
Cheng Yang	92 0.6×	92 0.8×	140 1.6×	115 1.5×	57 0.8×	23	446
F. Nicola	87 0.5×	63 0.6×	49 0.6×	78 1.0×	68 0.9×	20	474
Shih‐Hsiu J. Wang	131 0.8×	98 0.9×	49 0.6×	132 1.7×	111 1.5×	28	472
Bernadette T. Majda	232 1.5×	72 0.6×	91 1.0×	173 2.2×	44 0.6×	15	527
Samanta Mazzetti	138 0.9×	142 1.3×	88 1.0×	152 1.9×	66 0.9×	26	532
Xiaoyang Lu	230 1.4×	84 0.8×	66 0.7×	55 0.7×	60 0.8×	19	519
Shengnian Zhou	205 1.3×	124 1.1×	28 0.3×	93 1.2×	82 1.1×	30	490
Morimichi Koshinaga	136 0.9×	147 1.3×	133 1.5×	177 2.2×	35 0.5×	26	541
Aisong Guo	151 0.9×	91 0.8×	70 0.8×	111 1.4×	21 0.3×	28	518

Countries citing papers authored by Gaoyu Cui

Since Specialization

Citations

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

Fields of papers citing papers by Gaoyu Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaoyu Cui

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