Guokun Wang

37 total papers · 1.5k total citations
17 papers, 1.2k citations indexed

About

Guokun Wang is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Guokun Wang has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Guokun Wang's work include Cardiac Imaging and Diagnostics (5 papers), Cardiac Valve Diseases and Treatments (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Guokun Wang is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Cardiac Valve Diseases and Treatments (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Guokun Wang collaborates with scholars based in China, United States and Finland. Guokun Wang's co-authors include Qing Jing, Yongwen Qin, Qing Li, Juntao Zhang, Yue Li, Jia He, Jiaqi Zhu, Wen‐Jun Yuan, Xiangqi Li and Elena Kremneva and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Journal of Cell Science.

In The Last Decade

Guokun Wang

14 papers receiving 1.2k citations

Hit Papers

Circulating microRNA: a n... 2010 2026 2015 2020 2010 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Guokun Wang 923 847 182 84 67 17 1.2k
Temo Barwari 732 0.8× 696 0.8× 181 1.0× 137 1.6× 60 0.9× 18 1.2k
Xinzhong Li 835 0.9× 566 0.7× 174 1.0× 158 1.9× 60 0.9× 28 1.1k
Ashish Yeri 715 0.8× 446 0.5× 233 1.3× 64 0.8× 68 1.0× 31 1.1k
Monika M Gladka 808 0.9× 449 0.5× 322 1.8× 107 1.3× 44 0.7× 21 1.0k
Michael Alexanian 931 1.0× 627 0.7× 245 1.3× 148 1.8× 39 0.6× 17 1.1k
Joost J. Leenders 685 0.7× 498 0.6× 296 1.6× 80 1.0× 50 0.7× 9 995
Maria Cristina Carena 694 0.8× 627 0.7× 160 0.9× 89 1.1× 28 0.4× 11 971
Angelika Holzmann 824 0.9× 764 0.9× 176 1.0× 98 1.2× 26 0.4× 10 1.1k
Seema Dangwal 681 0.7× 536 0.6× 171 0.9× 154 1.8× 78 1.2× 27 1.2k
Anqing Huang 769 0.8× 531 0.6× 106 0.6× 90 1.1× 25 0.4× 11 962

Countries citing papers authored by Guokun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guokun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guokun Wang

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