Ming-Fong Chen

19 total papers · 761 total citations
18 papers, 571 citations indexed

About

Ming-Fong Chen is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Ming-Fong Chen has authored 18 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 6 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Ming-Fong Chen's work include Cardiac electrophysiology and arrhythmias (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). Ming-Fong Chen is often cited by papers focused on Cardiac electrophysiology and arrhythmias (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). Ming-Fong Chen collaborates with scholars based in Taiwan, United States and Finland. Ming-Fong Chen's co-authors include Yi‐Ching Yang, Horng‐Yih Ou, Chih‐Yuan Wang, Ching‐Yi Chen, Cheng-Hsin Lin, Mao-Shin Lin, Hung‐Yuan Li, Yi‐Lwun Ho, Jung-Nan Wei and David J. Smith and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and The American Journal of Cardiology.

In The Last Decade

Ming-Fong Chen

18 papers receiving 559 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-Fong Chen 218 163 153 105 96 18 571
Steve Martin 216 1.0× 192 1.2× 75 0.5× 226 2.2× 99 1.0× 17 633
Elise Gand 144 0.7× 150 0.9× 88 0.6× 220 2.1× 100 1.0× 35 664
D. Hatseras 305 1.4× 133 0.8× 143 0.9× 48 0.5× 104 1.1× 23 602
Alexandros Sachinidis 115 0.5× 113 0.7× 124 0.8× 231 2.2× 145 1.5× 18 594
Gökhan Erdem 150 0.7× 206 1.3× 187 1.2× 112 1.1× 66 0.7× 30 589
Connie Karschimkus 142 0.7× 74 0.5× 73 0.5× 97 0.9× 102 1.1× 23 632
D Felmeden 312 1.4× 102 0.6× 62 0.4× 78 0.7× 100 1.0× 26 565
Regina Maria Pereira 262 1.2× 111 0.7× 121 0.8× 168 1.6× 106 1.1× 12 560
Jayshree Acharya 151 0.7× 147 0.9× 73 0.5× 112 1.1× 114 1.2× 20 509
Gabriella Celotta 104 0.5× 172 1.1× 68 0.4× 111 1.1× 133 1.4× 11 635

Countries citing papers authored by Ming-Fong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Fong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Fong Chen

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