Ruiyong Wu

50 total papers · 1.1k total citations
45 papers, 906 citations indexed

About

Ruiyong Wu is a scholar working on Social Psychology, Behavioral Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Ruiyong Wu has authored 45 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Social Psychology, 20 papers in Behavioral Neuroscience and 16 papers in Experimental and Cognitive Psychology. Recurrent topics in Ruiyong Wu's work include Neuroendocrine regulation and behavior (40 papers), Stress Responses and Cortisol (20 papers) and Evolutionary Psychology and Human Behavior (16 papers). Ruiyong Wu is often cited by papers focused on Neuroendocrine regulation and behavior (40 papers), Stress Responses and Cortisol (20 papers) and Evolutionary Psychology and Human Behavior (16 papers). Ruiyong Wu collaborates with scholars based in China, Canada and United States. Ruiyong Wu's co-authors include Fadao Tai, Xia Zhang, Xiaolei An, Zhenzhen Song, Hugh G. Broders, Peng Yu, Rui Jia, Ming Li, Enqi Liu and Ying Yang and has published in prestigious journals such as Brain Research, Animal Behaviour and Molecular Psychiatry.

In The Last Decade

Ruiyong Wu

42 papers receiving 889 citations

Author Peers

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

Author						Papers	Cites
Ruiyong Wu	637	340	244	112	98	45	906
Rui Jia	665 1.0×	386 1.1×	251 1.0×	128 1.1×	122 1.2×	40	919
Joseph S. Lonstein	591 0.9×	298 0.9×	131 0.5×	65 0.6×	111 1.1×	20	745
Márcia Giovenardi	445 0.7×	268 0.8×	119 0.5×	129 1.2×	140 1.4×	57	984
Natalia Duque‐Wilckens	510 0.8×	265 0.8×	194 0.8×	77 0.7×	138 1.4×	19	713
Melissa‐Ann L. Scotti	471 0.7×	244 0.7×	137 0.6×	73 0.7×	141 1.4×	24	937
Kelly M. Dumais	766 1.2×	290 0.9×	341 1.4×	109 1.0×	225 2.3×	17	963
Hemanth P. Nair	433 0.7×	228 0.7×	152 0.6×	82 0.7×	49 0.5×	16	744
Ángel I. Melo	520 0.8×	226 0.7×	61 0.3×	80 0.7×	90 0.9×	35	917
L.A. Rosenblum	537 0.8×	481 1.4×	128 0.5×	74 0.7×	38 0.4×	21	1.0k
Pamela L. Noble	579 0.9×	181 0.5×	229 0.9×	100 0.9×	106 1.1×	16	846

Countries citing papers authored by Ruiyong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Ruiyong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiyong Wu

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