Chi‐Chuan Wang

91 total papers · 1.2k total citations
72 papers, 813 citations indexed

About

Chi‐Chuan Wang is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Economics and Econometrics. According to data from OpenAlex, Chi‐Chuan Wang has authored 72 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 19 papers in Epidemiology and 13 papers in Economics and Econometrics. Recurrent topics in Chi‐Chuan Wang's work include Atrial Fibrillation Management and Outcomes (12 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers) and Pharmaceutical Practices and Patient Outcomes (8 papers). Chi‐Chuan Wang is often cited by papers focused on Atrial Fibrillation Management and Outcomes (12 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers) and Pharmaceutical Practices and Patient Outcomes (8 papers). Chi‐Chuan Wang collaborates with scholars based in Taiwan, United States and United Kingdom. Chi‐Chuan Wang's co-authors include Chung‐Hsuen Wu, Jae Kennedy, Fang‐Ju Lin, Joel F. Farley, Shin‐Yi Lin, Shu‐Wen Lin, Huang‐Tz Ou, Wan‐Ting Huang, Matthew L. Maciejewski and Wang‐Huei Sheng and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and PLoS ONE.

In The Last Decade

Chi‐Chuan Wang

63 papers receiving 796 citations

Author Peers

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

Author Last Decade Papers Cites
Chi‐Chuan Wang 201 142 121 116 87 72 813
James D Hoehns 108 0.5× 104 0.7× 83 0.7× 127 1.1× 64 0.7× 31 778
Kevin Sneed 150 0.7× 80 0.6× 93 0.8× 128 1.1× 91 1.0× 39 1.0k
Yanli Wang 123 0.6× 131 0.9× 43 0.4× 166 1.4× 71 0.8× 60 1.0k
Mesbah Shams 192 1.0× 110 0.8× 113 0.9× 31 0.3× 154 1.8× 70 1.0k
José O. Rivera 160 0.8× 82 0.6× 88 0.7× 102 0.9× 111 1.3× 33 987
Jeffrey J. Ellis 75 0.4× 89 0.6× 87 0.7× 164 1.4× 41 0.5× 28 837
A Castot 138 0.7× 97 0.7× 124 1.0× 44 0.4× 88 1.0× 61 896
P F D’Arcy 110 0.5× 76 0.5× 157 1.3× 24 0.2× 124 1.4× 86 1.0k
Jingbo Zhai 196 1.0× 90 0.6× 81 0.7× 52 0.4× 55 0.6× 85 799
Karin Kraft 165 0.8× 39 0.3× 65 0.5× 114 1.0× 103 1.2× 90 929

Countries citing papers authored by Chi‐Chuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Chuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi‐Chuan Wang

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