Tzu-Chieh Chen

14 total papers · 917 total citations
9 papers, 655 citations indexed

About

Tzu-Chieh Chen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Tzu-Chieh Chen has authored 9 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Tzu-Chieh Chen's work include Lipid metabolism and disorders (3 papers), Hormonal Regulation and Hypertension (2 papers) and Apelin-related biomedical research (2 papers). Tzu-Chieh Chen is often cited by papers focused on Lipid metabolism and disorders (3 papers), Hormonal Regulation and Hypertension (2 papers) and Apelin-related biomedical research (2 papers). Tzu-Chieh Chen collaborates with scholars based in United States and Taiwan. Tzu-Chieh Chen's co-authors include Jen-Chywan Wang, Taiyi Kuo, Amy McQueen, Rebecca A. Lee, C Y Ou, Michael R. Stallcup, Meilan Li, Stephanie Yan, Daniel K. Nomura and Daniel I. Benjamin and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and Journal of Lipid Research.

In The Last Decade

Tzu-Chieh Chen

8 papers receiving 649 citations

Hit Papers

Regulation of Glucose Hom... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Tzu-Chieh Chen 185 174 165 74 74 9 655
Danielle Duma 144 0.8× 188 1.1× 164 1.0× 94 1.3× 118 1.6× 10 753
Christopher J. H. Woodward 122 0.7× 137 0.8× 147 0.9× 76 1.0× 42 0.6× 11 665
Valeria Benedusi 113 0.6× 148 0.9× 167 1.0× 106 1.4× 156 2.1× 11 701
Mukaila A. Akinbami 96 0.5× 211 1.2× 97 0.6× 58 0.8× 79 1.1× 24 576
Ashley J. Peckett 327 1.8× 99 0.6× 229 1.4× 109 1.5× 65 0.9× 5 671
Nicholas G. Baranetsky 109 0.6× 165 0.9× 200 1.2× 73 1.0× 94 1.3× 12 626
Naı̈ma Ismaı̈li 77 0.4× 336 1.9× 122 0.7× 166 2.2× 121 1.6× 13 757
Xiaolang Yan 160 0.9× 155 0.9× 156 0.9× 32 0.4× 59 0.8× 13 580
Jolien Souffriau 126 0.7× 185 1.1× 120 0.7× 67 0.9× 108 1.5× 9 652
N. Folléa 478 2.6× 125 0.7× 90 0.5× 78 1.1× 86 1.2× 12 726

Countries citing papers authored by Tzu-Chieh Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tzu-Chieh Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tzu-Chieh Chen

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