Chun‐Tai Mao

45 total papers · 808 total citations
32 papers, 623 citations indexed

About

Chun‐Tai Mao is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Chun‐Tai Mao has authored 32 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 13 papers in Surgery and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Chun‐Tai Mao's work include Heart Failure Treatment and Management (7 papers), Diabetes Treatment and Management (6 papers) and Cardiac Structural Anomalies and Repair (6 papers). Chun‐Tai Mao is often cited by papers focused on Heart Failure Treatment and Management (7 papers), Diabetes Treatment and Management (6 papers) and Cardiac Structural Anomalies and Repair (6 papers). Chun‐Tai Mao collaborates with scholars based in Taiwan, United States and China. Chun‐Tai Mao's co-authors include Tien‐Hsing Chen, Chao‐Hung Wang, Ning‐I Yang, Min‐Hui Liu, Yu-Yen Huang, Mei‐Ling Cheng, Cheng-Yu Huang, Ming‐Shi Shiao, Hung‐Yao Ho and Jui‐Fen Lin and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Chun‐Tai Mao

31 papers receiving 612 citations

Author Peers

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

Author Last Decade Papers Cites
Chun‐Tai Mao 309 197 126 121 85 32 623
Ricardo J. Esper 347 1.1× 155 0.8× 120 1.0× 126 1.0× 126 1.5× 30 772
Adil Rajwani 393 1.3× 176 0.9× 203 1.6× 130 1.1× 88 1.0× 35 744
Matteo Serenelli 445 1.4× 127 0.6× 152 1.2× 137 1.1× 109 1.3× 41 691
Amra Jujić 402 1.3× 137 0.7× 142 1.1× 139 1.1× 111 1.3× 61 779
Andrew M. Wilson 239 0.8× 133 0.7× 155 1.2× 144 1.2× 76 0.9× 26 728
Keizo Nishiyama 533 1.7× 105 0.5× 166 1.3× 109 0.9× 83 1.0× 27 754
Maria Varoudi 316 1.0× 96 0.5× 119 0.9× 86 0.7× 52 0.6× 23 650
Ayako Nagumo 416 1.3× 82 0.4× 119 0.9× 151 1.2× 83 1.0× 21 600
Takeki Suzuki 472 1.5× 99 0.5× 98 0.8× 93 0.8× 71 0.8× 53 750
Immacolata Esposito 191 0.6× 169 0.9× 151 1.2× 98 0.8× 81 1.0× 37 630

Countries citing papers authored by Chun‐Tai Mao

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Tai Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Tai Mao. 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 Chun‐Tai Mao. The network helps show where Chun‐Tai Mao may publish in the future.

Co-authorship network of co-authors of Chun‐Tai Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Tai Mao. A scholar is included among the top collaborators of Chun‐Tai Mao 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 Chun‐Tai Mao. Chun‐Tai Mao 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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