Kun Hua

88 total papers · 951 total citations
45 papers, 648 citations indexed

About

Kun Hua is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Kun Hua has authored 45 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 12 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Kun Hua's work include Cardiac Valve Diseases and Treatments (7 papers), Cardiac Imaging and Diagnostics (6 papers) and Cardiac and Coronary Surgery Techniques (6 papers). Kun Hua is often cited by papers focused on Cardiac Valve Diseases and Treatments (7 papers), Cardiac Imaging and Diagnostics (6 papers) and Cardiac and Coronary Surgery Techniques (6 papers). Kun Hua collaborates with scholars based in China, United States and Netherlands. Kun Hua's co-authors include Zhan Peng, Yunxiao Yang, Rui Zhao, Zhiyong Du, Xiubin Yang, Linyi Li, Mianqi Xue, Fengwang Li, Enzehua Xie and Yanwen Qin and has published in prestigious journals such as Circulation, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Kun Hua

36 papers receiving 638 citations

Hit Papers

Detection of Various Micr... 2023 2026 2024 2023 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Detection of Various Microplastics in Patients Undergoing Cardiac Surgery
    2023 312 citations Yunxiao Yang, Enzehua Xie et al. Environmental Science & Technology profile →

Author Peers

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

Author Last Decade Papers Cites
Kun Hua 293 179 140 120 97 45 648
Sara Fournier 299 1.0× 160 0.9× 152 1.1× 95 0.8× 19 0.2× 25 651
Rui Liu 422 1.4× 213 1.2× 101 0.7× 133 1.1× 10 0.1× 20 677
Xiyue Zhang 402 1.4× 340 1.9× 41 0.3× 116 1.0× 18 0.2× 21 680
Shuang Zhao 168 0.6× 101 0.6× 29 0.2× 55 0.5× 22 0.2× 30 759
Sharifah Emilia Tuan Sharif 361 1.2× 239 1.3× 9 0.1× 80 0.7× 51 0.5× 36 578
Liqin Wang 105 0.4× 75 0.4× 37 0.3× 39 0.3× 50 0.5× 38 641
Nana Wang 244 0.8× 119 0.7× 10 0.1× 87 0.7× 144 1.5× 25 637
Qiang Ming 44 0.2× 64 0.4× 23 0.2× 151 1.3× 85 0.9× 29 589
Jinqi Wang 66 0.2× 142 0.8× 153 1.1× 26 0.2× 60 0.6× 46 665
Dongyong Zhu 181 0.6× 23 0.1× 50 0.4× 48 0.4× 74 0.8× 29 625

Countries citing papers authored by Kun Hua

Since Specialization
Citations

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

Fields of papers citing papers by Kun Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Hua. A scholar is included among the top collaborators of Kun Hua 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 Kun Hua. Kun Hua 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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2026