Wenyao Wang

107 total papers · 1.7k total citations
69 papers, 707 citations indexed

About

Wenyao Wang is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Wenyao Wang has authored 69 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cardiology and Cardiovascular Medicine, 21 papers in Endocrinology, Diabetes and Metabolism and 18 papers in Surgery. Recurrent topics in Wenyao Wang's work include Acute Myocardial Infarction Research (14 papers), Cardiac Imaging and Diagnostics (13 papers) and Thyroid Disorders and Treatments (11 papers). Wenyao Wang is often cited by papers focused on Acute Myocardial Infarction Research (14 papers), Cardiac Imaging and Diagnostics (13 papers) and Thyroid Disorders and Treatments (11 papers). Wenyao Wang collaborates with scholars based in China, United States and United Kingdom. Wenyao Wang's co-authors include Yi‐Da Tang, Chunli Shao, Jie Yang, Kuo Zhang, Xiangbin Meng, Jun Gao, Yitian Zheng, Chen Li, Giorgio Iervasi and A. Martin Gerdes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Wenyao Wang

59 papers receiving 694 citations

Hit Papers

The Impact of the Stress ... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Wenyao Wang 354 315 169 121 92 69 707
Köksal Ceyhan 325 0.9× 449 1.4× 171 1.0× 212 1.8× 109 1.2× 59 876
Zhenhua Xing 221 0.6× 271 0.9× 118 0.7× 153 1.3× 66 0.7× 56 670
Luca Bergamaschi 203 0.6× 477 1.5× 83 0.5× 180 1.5× 221 2.4× 57 817
Sinan Albayrak 287 0.8× 231 0.7× 145 0.9× 102 0.8× 144 1.6× 42 760
S.D. Moulopoulos 232 0.7× 413 1.3× 88 0.5× 184 1.5× 41 0.4× 69 883
Masahiro Sonoda 214 0.6× 496 1.6× 113 0.7× 173 1.4× 146 1.6× 44 815
Valeria Manicardi 516 1.5× 245 0.8× 195 1.2× 116 1.0× 26 0.3× 47 863
Dayi Hu 160 0.5× 458 1.5× 141 0.8× 166 1.4× 77 0.8× 70 816
Ki‐Bum Won 318 0.9× 502 1.6× 193 1.1× 169 1.4× 178 1.9× 54 769
Hamidreza Goodarzynejad 128 0.4× 267 0.8× 69 0.4× 154 1.3× 54 0.6× 59 668

Countries citing papers authored by Wenyao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wenyao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenyao Wang

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