Pei‐Chi Yang

1.9k citations
55 papers · 1.4k · h-index 23

Impact in

Papers in

Pei‐Chi Yang

52 papers receiving 1.3k citations

Peers

Pei‐Chi Yang
Comparison fields: 5 of 131
  • Cardiology and Cardiovascular Medicine 777
  • Information Systems and Management 137
  • Molecular Biology 715
  • Cellular and Molecular Neuroscience 169
  • Organizational Behavior and Human Resource Management 55
Replace Po‐Cheng Chang with:
Po‐Cheng Chang Taiwan
Tian Seng Teo Singapore
Michael J. Zhang United States
James H. Jones United States
David Chappell United States
David Newman United Kingdom
Jinyi Shao United States
Ning Deng China
Shu Hui Chen United States
Pei‐Chi Yang relative to Po‐Cheng Chang Taiwan Po‐Cheng Chang's profile →
Citations per field
00.5×10×13.8×
Po‐Cheng Chang · 1×
Citations per year

Countries citing papers authored by Pei‐Chi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Chi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pei‐Chi Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pei‐Chi Yang Line = papers co-authored together Pei‐Chi Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011170
2 200899
3 201373
4 201470
5 200662
6 202059
7 201259
8 201059
9 201252
10 201650
11 201447
12 201641
13 202040
14 201738
15 202137
16 201832
17 201531
18 201031
19 201028
20 201825

About Pei‐Chi Yang

Pei‐Chi Yang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Information Systems and Management, Organizational Behavior and Human Resource Management and Cellular and Molecular Neuroscience, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (34 papers), Ion channel regulation and function (22 papers), Receptor Mechanisms and Signaling (16 papers), Technology Adoption and User Behaviour (9 papers), Customer Service Quality and Loyalty (7 papers), Digital Marketing and Social Media (5 papers), Phosphodiesterase function and regulation (4 papers) and Multi-Criteria Decision Making (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (777 citations), Information Systems and Management (137 citations), Molecular Biology (715 citations), Cellular and Molecular Neuroscience (169 citations) and Organizational Behavior and Human Resource Management (55 citations). Pei‐Chi Yang has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Colleen E. Clancy, Yu-Lung Wu, Yu‐Hui Tao, Jonathan D. Moreno, Mao-Tsuen Jeng, M. Saleet Jafri, Junko Kurokawa, Robert D. Harvey, John R. Bankston and Robert S. Kass. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, PLoS Computational Biology, The Journal of Physiology, Biophysical Journal and eLife.

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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