Yi Ching Chen

25 papers receiving 681 citations

Peers

Yi Ching Chen
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 177
  • Biochemistry 55
  • Endocrine and Autonomic Systems 48
  • Complementary and alternative medicine 48
  • Cardiology and Cardiovascular Medicine 115
Replace Marcelo E. Silva with:
Marcelo E. Silva Brazil
Noureddine Idris-Khodja Canada
Maria Alícia Carrillo-Sepúlveda United States
Yolanda F. Otero France
Daniela Gentile Italy
Cynthia Planesse France
Neus Martínez-Micaelo Spain
Tawanda M. Nyambuya South Africa
Ping Jiao China
Mehari Endale South Korea
Yi Ching Chen relative to Marcelo E. Silva Brazil Marcelo E. Silva's profile →
Citations per field
00.5×3.4×
Marcelo E. Silva · 1×
Citations per year

Countries citing papers authored by Yi Ching Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yi Ching Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi Ching 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 Yi Ching Chen. The network helps show where Yi Ching Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Yi Ching Chen, 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 Yi Ching Chen Line = papers co-authored together Yi Ching Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013207
2 201578
3 202173
4 201449
5 201744
6 201137
7 200437
8 202225
9 201921
10 201720
11 201616
12 201714
13 201914
14 202110
15 20218
16 20196
17 20106
18 20086
19
Contrast of directional influence upon motor overflow between submaximal and maximal static exertions.
20065
20 20235

About Yi Ching Chen

Yi Ching Chen is a scholar working on Molecular Biology, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Surgery and Cognitive Neuroscience, having authored 29 papers that have together received 698 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (6 papers), Motor Control and Adaptation (3 papers), Transcranial Magnetic Stimulation Studies (2 papers), Apelin-related biomedical research (2 papers), Balance, Gait, and Falls Prevention (2 papers), EEG and Brain-Computer Interfaces (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (177 citations), Biochemistry (55 citations), Endocrine and Autonomic Systems (48 citations), Complementary and alternative medicine (48 citations) and Cardiology and Cardiovascular Medicine (115 citations). Yi Ching Chen has collaborated with scholars based in Taiwan, Australia and Japan. Frequent co-authors include Shao‐Chih Chiu, Wen‐Chin Yang, Yenshou Lin, Cicero Lee‐Tian Chang, Julie R. McMullen, Thomas H. Marwick, Aleksandr Voskoboinik, André La Gerche, Shao‐Hsuan Kao and Tsung‐Chih Tsai. Their work appears in journals such as Clinical Science, Molecular Cancer Therapeutics, Scientific Reports, Journal of Pineal Research and Pharmacology Research & Perspectives.

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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