Liyong Wu

121 total papers · 2.1k total citations
73 papers, 746 citations indexed

About

Liyong Wu is a scholar working on Physiology, Psychiatry and Mental health and Neurology. According to data from OpenAlex, Liyong Wu has authored 73 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Physiology, 19 papers in Psychiatry and Mental health and 15 papers in Neurology. Recurrent topics in Liyong Wu's work include Alzheimer's disease research and treatments (30 papers), Dementia and Cognitive Impairment Research (18 papers) and Functional Brain Connectivity Studies (11 papers). Liyong Wu is often cited by papers focused on Alzheimer's disease research and treatments (30 papers), Dementia and Cognitive Impairment Research (18 papers) and Functional Brain Connectivity Studies (11 papers). Liyong Wu collaborates with scholars based in China, Canada and United States. Liyong Wu's co-authors include Pedro Rosa‐Neto, Jianping Jia, Serge Gauthier, Mario Masellis, Ging‐Yuek Robin Hsiung, A. Dessa Sadovnick, Sandra E. Black, Yu Kong, Min Kyung Chu and Vladimir Fonov and has published in prestigious journals such as PLoS ONE, Brain and Annals of Neurology.

In The Last Decade

Liyong Wu

62 papers receiving 739 citations

Author Peers

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

Author Last Decade Papers Cites
Liyong Wu 295 239 188 135 127 73 746
Tomoyuki Nagata 242 0.8× 316 1.3× 144 0.8× 174 1.3× 90 0.7× 55 778
Natalia García‐Casares 205 0.7× 170 0.7× 202 1.1× 73 0.5× 104 0.8× 64 785
Matteo Cotta Ramusino 180 0.6× 283 1.2× 133 0.7× 93 0.7× 127 1.0× 55 879
Hideyuki Hattori 186 0.6× 193 0.8× 132 0.7× 126 0.9× 91 0.7× 53 821
Yi Xing 211 0.7× 187 0.8× 133 0.7× 167 1.2× 132 1.0× 52 745
Marion Ortner 303 1.0× 328 1.4× 242 1.3× 90 0.7× 116 0.9× 45 729
Ümit Hıdır Ulaş 188 0.6× 293 1.2× 134 0.7× 94 0.7× 79 0.6× 67 861
Michaël E. Belloy 349 1.2× 161 0.7× 211 1.1× 230 1.7× 112 0.9× 32 867
Christopher D. Whelan 218 0.7× 227 0.9× 232 1.2× 142 1.1× 164 1.3× 27 761
Xianghong Arakaki 242 0.8× 198 0.8× 195 1.0× 210 1.6× 100 0.8× 49 844

Countries citing papers authored by Liyong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Liyong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyong Wu

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