Ming Zhong

91 total papers · 1.2k total citations
55 papers, 911 citations indexed

About

Ming Zhong is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Ming Zhong has authored 55 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cardiology and Cardiovascular Medicine, 19 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Ming Zhong's work include Cardiovascular Function and Risk Factors (8 papers), Atrial Fibrillation Management and Outcomes (8 papers) and Heart Failure Treatment and Management (5 papers). Ming Zhong is often cited by papers focused on Cardiovascular Function and Risk Factors (8 papers), Atrial Fibrillation Management and Outcomes (8 papers) and Heart Failure Treatment and Management (5 papers). Ming Zhong collaborates with scholars based in China, United States and Thailand. Ming Zhong's co-authors include Yun Zhang, Zhihao Wang, Wei Zhang, Yun Ti, Wei Zhang, Zhihao Wang, Guihua Jiang, Yuanyuan Shang, Wenyuan Ding and Jia Wang and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Diabetes.

In The Last Decade

Ming Zhong

52 papers receiving 902 citations

Author Peers

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

Author Last Decade Papers Cites
Ming Zhong 398 298 111 94 90 55 911
Gwo‐Jyh Chang 445 1.1× 406 1.4× 150 1.4× 100 1.1× 148 1.6× 66 1.1k
Hangyuan Guo 375 0.9× 283 0.9× 117 1.1× 82 0.9× 136 1.5× 53 862
Jing Li 306 0.8× 428 1.4× 92 0.8× 109 1.2× 71 0.8× 52 936
Emmanuel E. Egom 521 1.3× 430 1.4× 143 1.3× 60 0.6× 133 1.5× 56 1.1k
Dazhuo Shi 262 0.7× 427 1.4× 113 1.0× 116 1.2× 58 0.6× 81 999
Fang Rao 337 0.8× 369 1.2× 103 0.9× 84 0.9× 56 0.6× 57 801
Haiyi Yu 370 0.9× 438 1.5× 135 1.2× 139 1.5× 102 1.1× 52 972
Bin Kong 339 0.9× 356 1.2× 72 0.6× 78 0.8× 86 1.0× 62 946
Saveria Femminò 291 0.7× 524 1.8× 133 1.2× 131 1.4× 61 0.7× 46 957
Naoki Matsumoto 241 0.6× 268 0.9× 122 1.1× 45 0.5× 104 1.2× 70 981

Countries citing papers authored by Ming Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhong

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