Ye Chen‐Izu

3.5k citations
75 papers · 2.5k · h-index 28

Impact in

Papers in

Ye Chen‐Izu

74 papers receiving 2.4k citations

Peers

Ye Chen‐Izu
Comparison fields: 5 of 120
  • Cardiology and Cardiovascular Medicine 1.4k
  • Cellular and Molecular Neuroscience 509
  • Molecular Biology 1.6k
  • Biophysics 57
  • Sensory Systems 39
Replace Leighton T. Izu with:
Leighton T. Izu United States
Ed White United Kingdom
John H.B. Bridge United States
Kenneth T. MacLeod United Kingdom
Thomas J. Hund United States
Gregory E. Morley United States
Julie Bossuyt United States
Bum‐Rak Choi United States
Robert D. Harvey United States
Vadim V. Fedorov United States
Ye Chen‐Izu relative to Leighton T. Izu United States Leighton T. Izu's profile →
Citations per field
00.5×1.6×
Leighton T. Izu · 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-authors

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

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparative genomic hybridization analysis of 38 breast cancer cell lines: a basis for interpreting complementary DNA microarray data.
2000228
2 2015161
3 2006154
4 2000124
5 200397
6 201597
7 201593
8 201687
9 200686
10 201684
11 200779
12 200774
13 201374
14 201672
15 201871
16 201854
17 201149
18 200747
19 200740
20 201440

About Ye Chen‐Izu

Ye Chen‐Izu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering and Cell Biology, having authored 75 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (53 papers), Ion channel regulation and function (45 papers), Neuroscience and Neural Engineering (14 papers), Cardiomyopathy and Myosin Studies (12 papers), Receptor Mechanisms and Signaling (10 papers), Cellular Mechanics and Interactions (5 papers), ECG Monitoring and Analysis (5 papers) and Electrochemical Analysis and Applications (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Cellular and Molecular Neuroscience (509 citations), Molecular Biology (1.6k citations), Biophysics (57 citations) and Sensory Systems (39 citations). Ye Chen‐Izu has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include Leighton T. Izu, Tamás Bányász, C. William Balke, Donald M. Bers, Zhong Jian, Bence Hegyi, Balázs Horváth, Stacey L. McCulle, Nipavan Chiamvimonvat and Farahnaz Forozan. Their work appears in journals such as Biophysical Journal, The Journal of Physiology, Journal of Molecular and Cellular Cardiology, Circulation Arrhythmia and Electrophysiology and PLoS ONE.

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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