Leighton T. Izu

3.1k citations
72 papers · 2.2k indexed · h-index 28

Leighton T. Izu

71 papers receiving 2.2k citations

Peers

Leighton T. Izu
Comparison fields: 5 of 128
  • Cardiology and Cardiovascular Medicine 1.5k
  • Cellular and Molecular Neuroscience 620
  • Molecular Biology 1.5k
  • Biophysics 65
  • Sensory Systems 46
Replace Daisuke Sato with:
Daisuke Sato United States
William E. Louch Norway
M. Saleet Jafri United States
Eric A. Sobie United States
Kenneth R. Laurita United States
Sander Verheule Netherlands
Thomas J. Hund United States
J. Andrew Wasserstrom United States
Andrew P. Landstrom United States
Joseph L. Greenstein United States
Leighton T. Izu relative to Daisuke Sato United States Daisuke Sato's profile →
Citations per field
00.5×1.5×2.5×
Daisuke Sato · 1×
Citations per year

Countries citing papers authored by Leighton T. Izu

Since Specialization
Citations

This map shows the geographic impact of Leighton T. 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 Leighton T. Izu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leighton T. Izu more than expected).

Fields of papers citing papers by Leighton T. Izu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leighton T. 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 Leighton T. Izu. The network helps show where Leighton T. Izu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20243
4 20239
5 20215
6 202121
7 202017
8 201932
9 201869
10 201718
11 201671
12 20161
13 201530
14 20147
15 20111
16 20091
17 200730
18 200171
19
Theoretical analysis of the Ca2+ spark amplitude distribution.
19980
20 19955

About Leighton T. Izu

Leighton T. Izu is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 72 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (48 papers), Ion channel regulation and function (41 papers), Neuroscience and Neural Engineering (16 papers), Cardiomyopathy and Myosin Studies (9 papers), Receptor Mechanisms and Signaling (8 papers), Cellular Mechanics and Interactions (6 papers), ECG Monitoring and Analysis (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Cellular and Molecular Neuroscience (620 citations) and Molecular Biology (1.5k citations). Leighton T. Izu has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include Ye Chen‐Izu, C. William Balke, Tamás Bányász, W. Gil Wier, Zhong Jian, Deepa Jonnalagadda, Sidney W. Whiteheart, Donald M. Bers, Bence Hegyi and Stacey L. McCulle. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

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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