Zhaosu Wu

46 total papers · 530 total citations
21 papers, 454 citations indexed

About

Zhaosu Wu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Zhaosu Wu has authored 21 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Surgery. Recurrent topics in Zhaosu Wu's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (3 papers) and Cancer, Lipids, and Metabolism (3 papers). Zhaosu Wu is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (3 papers) and Cancer, Lipids, and Metabolism (3 papers). Zhaosu Wu collaborates with scholars based in China, Singapore and United States. Zhaosu Wu's co-authors include Jing Liu, Guixian Wu, Zhechun Zeng, Dong Zhao, Chonghua Yao, Wei Wang, Guo‐Liang Jiang, Dong Zhao, Wei Wang and Shanta Emmanuel and has published in prestigious journals such as Circulation, Atherosclerosis and Journal of Hypertension.

In The Last Decade

Zhaosu Wu

21 papers receiving 433 citations

Author Peers

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

Author Last Decade Papers Cites
Zhaosu Wu 182 132 128 87 73 21 454
Zegui Huang 213 1.2× 222 1.7× 158 1.2× 128 1.5× 56 0.8× 27 485
Fabio Pannozzo 248 1.4× 101 0.8× 73 0.6× 64 0.7× 53 0.7× 16 520
Yutaka Kiyohara 90 0.5× 111 0.8× 118 0.9× 132 1.5× 48 0.7× 16 528
Marie Jozífová 282 1.5× 73 0.6× 119 0.9× 101 1.2× 97 1.3× 19 502
Banafsheh Arshi 233 1.3× 102 0.8× 106 0.8× 61 0.7× 69 0.9× 28 497
Liu­xin Wu 160 0.9× 75 0.6× 88 0.7× 41 0.5× 76 1.0× 30 408
Solange Desirée Avakian 177 1.0× 94 0.7× 89 0.7× 84 1.0× 38 0.5× 35 540
Il Soon Kim 135 0.7× 70 0.5× 93 0.7× 69 0.8× 110 1.5× 16 459
Xuxu Rao 197 1.1× 147 1.1× 64 0.5× 82 0.9× 126 1.7× 19 407
Aliza Hussain 252 1.4× 82 0.6× 75 0.6× 111 1.3× 37 0.5× 34 505

Countries citing papers authored by Zhaosu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhaosu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaosu Wu

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