Ye Chen‐Izu

6.2k citations
134 papers · 4.6k indexed · h-index 36

Ye Chen‐Izu

132 papers receiving 4.6k citations

Peers

Ye Chen‐Izu
Comparison fields: 5 of 170
  • Cardiology and Cardiovascular Medicine 1.8k
  • Cellular and Molecular Neuroscience 1.0k
  • Molecular Biology 3.0k
  • Biophysics 194
  • Sensory Systems 122
Replace Rüdiger Rudolf with:
Rüdiger Rudolf Germany
Edmund J. Crampin New Zealand
Eric A. Sobie United States
Peipei Ping United States
Gary R. Mirams United Kingdom
Anthony O. Gramolini Canada
Tobias Opthof Netherlands
Peter Vassilev United States
Satoshi Kurihara Japan
Suk‐Ho Lee South Korea
Ye Chen‐Izu relative to Rüdiger Rudolf Germany Rüdiger Rudolf's profile →
Citations per field
00.5×6.7×
Rüdiger Rudolf · 1×
Citations per year

Countries citing papers authored by Ye Chen‐Izu

Since Specialization
Citations

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

Fields of papers citing papers by Ye Chen‐Izu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ye Chen‐Izu. 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 Ye Chen‐Izu. The network helps show where Ye Chen‐Izu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20250
4 20251
5 202428
6 20243
7 20243
8 20239
9 20232
10 202219
11 20215
12 20219
13 202121
14 202017
15 201932
16 201869
17 201718
18 201683
19 201671
20
Comparative genomic hybridization analysis of 38 breast cancer cell lines: a basis for interpreting complementary DNA microarray data.
2000228

About Ye Chen‐Izu

Ye Chen‐Izu is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Molecular Biology, Immunology and Allergy and Cell Biology, having authored 134 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (56 papers), Ion channel regulation and function (53 papers), Neuroscience and Neural Engineering (16 papers), Cardiomyopathy and Myosin Studies (13 papers), Receptor Mechanisms and Signaling (12 papers), Neuroscience and Neuropharmacology Research (9 papers), Cellular Mechanics and Interactions (7 papers) and Cardiovascular Function and Risk Factors (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.8k citations), Cellular and Molecular Neuroscience (1.0k citations), Molecular Biology (3.0k citations), Biophysics (194 citations) and Sensory Systems (122 citations). Ye Chen‐Izu has collaborated with scholars based in United States, China and Hungary. Frequent co-authors include Leighton T. Izu, Tamás Bányász, C. William Balke, Liang Yu, Donald M. Bers, Shitao Zhang, Heping Cheng, Edward G. Lakatta, Zhong Jian and Bence Hegyi. Their work appears in journals such as Biophysical Journal, Journal of Molecular and Cellular Cardiology, The Journal of Physiology, Journal of Biological Chemistry and Circulation Arrhythmia and Electrophysiology.

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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