Weihua Wu

32 total papers · 596 total citations
14 papers, 472 citations indexed

About

Weihua Wu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Weihua Wu has authored 14 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Weihua Wu's work include Cardiovascular Function and Risk Factors (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Diabetes Treatment and Management (2 papers). Weihua Wu is often cited by papers focused on Cardiovascular Function and Risk Factors (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Diabetes Treatment and Management (2 papers). Weihua Wu collaborates with scholars based in China, United States and Japan. Weihua Wu's co-authors include Igor Rebrin, Kai Chen, Daniel P. Holschneider, Jean C. Shih, Hong Sui, Dong Chang, Meihua Liang, Lin Zhang, Ziying Zhang and Hongzhi Pan and has published in prestigious journals such as Journal of Biological Chemistry, Archives of Biochemistry and Biophysics and Life Sciences.

In The Last Decade

Weihua Wu

14 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
Weihua Wu 171 106 71 71 54 14 472
Lihua Qian 179 1.0× 55 0.5× 44 0.6× 166 2.3× 45 0.8× 12 531
Yoshiaki Katsuda 154 0.9× 131 1.2× 51 0.7× 147 2.1× 27 0.5× 22 543
Daniela Storace 166 1.0× 124 1.2× 153 2.2× 140 2.0× 22 0.4× 15 520
Hanaa Z. Yassin 111 0.6× 90 0.8× 57 0.8× 100 1.4× 12 0.2× 10 407
Jiamei Jiang 236 1.4× 40 0.4× 36 0.5× 90 1.3× 41 0.8× 32 539
Mikio Sagara 91 0.5× 78 0.7× 46 0.6× 171 2.4× 25 0.5× 21 432
Ágota Vér 187 1.1× 83 0.8× 17 0.2× 93 1.3× 56 1.0× 22 549
Zdenka Djuric 113 0.7× 214 2.0× 192 2.7× 77 1.1× 15 0.3× 15 539
Manuel Nava 127 0.7× 146 1.4× 38 0.5× 119 1.7× 16 0.3× 27 476
Guangzhi Sui 180 1.1× 112 1.1× 144 2.0× 102 1.4× 36 0.7× 8 433

Countries citing papers authored by Weihua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weihua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihua Wu

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