Jui-Chien Hsieh

60 total papers · 947 total citations
34 papers, 689 citations indexed

About

Jui-Chien Hsieh is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Jui-Chien Hsieh has authored 34 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 8 papers in Biomedical Engineering. Recurrent topics in Jui-Chien Hsieh's work include ECG Monitoring and Analysis (11 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Non-Invasive Vital Sign Monitoring (5 papers). Jui-Chien Hsieh is often cited by papers focused on ECG Monitoring and Analysis (11 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Non-Invasive Vital Sign Monitoring (5 papers). Jui-Chien Hsieh collaborates with scholars based in Taiwan, United States and China. Jui-Chien Hsieh's co-authors include Pei‐Chann Chang, Chung‐Chi Yang, Jyun-Jie Lin, Ai‐Hsien Li, Julia Weng, Dennis J. Faix, N L Benowitz, Peyton Jacob, Richard A. Neese and M K Hellerstein and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Biochemical Journal.

In The Last Decade

Jui-Chien Hsieh

31 papers receiving 660 citations

Author Peers

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

Author Last Decade Papers Cites
Jui-Chien Hsieh 254 115 106 92 85 34 689
Gangmin Ning 200 0.8× 60 0.5× 88 0.8× 84 0.9× 192 2.3× 62 718
S. J. Pöppl 82 0.3× 64 0.6× 182 1.7× 90 1.0× 149 1.8× 34 672
Donna L. Hudson 240 0.9× 41 0.4× 86 0.8× 66 0.7× 138 1.6× 48 713
Huan Zhang 235 0.9× 34 0.3× 78 0.7× 107 1.2× 70 0.8× 42 599
Polyxeni Gkontra 138 0.5× 79 0.7× 100 0.9× 21 0.2× 156 1.8× 31 596
Tatjana Lončar-Turukalo 120 0.5× 53 0.5× 84 0.8× 71 0.8× 56 0.7× 50 612
Puneet Batra 363 1.4× 94 0.8× 42 0.4× 34 0.4× 49 0.6× 37 726
Mario Merone 130 0.5× 32 0.3× 172 1.6× 77 0.8× 129 1.5× 70 662
Hyun-Soo Choi 100 0.4× 95 0.8× 101 1.0× 177 1.9× 175 2.1× 59 770
Ashwin Belle 137 0.5× 32 0.3× 122 1.2× 93 1.0× 120 1.4× 28 640

Countries citing papers authored by Jui-Chien Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Jui-Chien Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jui-Chien Hsieh. 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 Jui-Chien Hsieh. The network helps show where Jui-Chien Hsieh may publish in the future.

Co-authorship network of co-authors of Jui-Chien Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Jui-Chien Hsieh. A scholar is included among the top collaborators of Jui-Chien Hsieh 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 Jui-Chien Hsieh. Jui-Chien Hsieh 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